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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Chronic obstructive pulmonary disease &#40;COPD&#41; is a common cause of morbidity and mortality worldwide&#46;<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">1&#44;2</span></a> During the course of their disease&#44; patients with COPD may experience exacerbations &#40;defined as acute worsening of respiratory symptoms requiring intensified treatment&#41; that can lead to hospitalization&#44; increase the risk of further exacerbations&#44; and worsen their prognosis&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">3&#44;4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Some diseases such as heart failure&#44; pneumothorax or pulmonary embolism &#40;PE&#41; can mimic &#40;or coexist with&#41; a COPD exacerbation&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">5</span></a> The results of studies investigating the prevalence of PE in this group of patients have been inconsistent&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">6&#8211;8</span></a> A French study that included 211 patients with COPD exacerbations of unknown cause found a prevalence of PE of 21&#46;8&#37;&#44; 95&#37; of which were central or segmental&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">6</span></a> However&#44; Couturaud et al&#46; reported a prevalence of PE of 5&#46;9&#37; in a series of 740 patients with COPD exacerbation requiring hospital admission&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">9</span></a> Recently&#44; the SLICE &#40;Significance of Pulmonary Embolism in COPD Exacerbations&#41; multicenter clinical trial evaluated the efficacy and safety of an active strategy for diagnosing PE in patients requiring hospital admission due to exacerbation of their COPD&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">10</span></a> In this trial&#44; proactive screening for PE had no statistically significant effect on improving the primary composite endpoint of venous thromboembolism &#40;VTE&#41;&#44; readmission for COPD&#44; or death from any cause within 3 months of randomization&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">11</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Although the results of the SLICE trial showed that proactive diagnosis of PE in these patients has no clinical benefit&#44; some studies suggest that chest computed tomography &#40;CT&#41; is more sensitive than chest radiography for the diagnosis of comorbidities that mimic COPD exacerbation&#44;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">12</span></a> and clinical practice guidelines recommend identifying the precipitating factor in order to administer appropriate treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">5</span></a> Nevertheless&#44; there is no evidence that identifying a comorbidity on chest CT and administering targeted treatment will improve prognosis in these patients&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The aim of this subgroup analysis was to calculate the number of patients hospitalized for COPD exacerbations in whom chest CT provided an alternative diagnosis to PE&#44; and to determine the prognostic significance of diagnosing and specifically treating these comorbidities&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Study design and population</span><p id="par0025" class="elsevierStylePara elsevierViewall">This is a subgroup analysis of the SLICE multicenter clinical trial&#46; The protocol and main analysis of SLICE have been published elsewhere&#46;<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">10&#44;11</span></a> In brief&#44; SLICE randomized consecutive patients requiring hospitalization for exacerbation of their COPD to proactive screening for PE or conventional management based on local protocols and clinical practice guidelines&#46; Screening for PE initially consisted of performing a D-dimer test&#46; A negative D-dimer &#40;according to the cut-off point used in each participating center&#41; excluded PE&#46; Patients with a positive D-dimer test underwent chest CT angiography within 12<span class="elsevierStyleHsp" style=""></span>h of randomization&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">10</span></a> A negative CT angiography ruled out PE&#44; while a positive CT angiography was an indication for anticoagulant treatment&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">In this subgroup analysis&#44; we included all patients in the intervention group of the SLICE trial that tested negative for PE on chest CT angiography &#40;i&#46;e&#46;&#44; normal CT or CT finding of an alternative diagnosis to PE&#41;&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Variables analyzed and definition of alternative diagnoses</span><p id="par0035" class="elsevierStylePara elsevierViewall">Demographic&#44; clinical&#44; and laboratory data were collected at the time of randomization&#46; These included&#44; among others&#58; age&#44; sex&#44; weight&#44; height&#44; comorbidities &#40;cancer &#91;non-lung&#93;&#44; ischemic heart disease&#44; heart failure&#44; sleep apnea&#41;&#44; risk of VTE &#40;previous surgery&#44; immobilization&#44; history of VTE&#41;&#44; severity of COPD&#44; number of exacerbations in the preceding year&#44; treatment for the stable phase of COPD&#44; clinical signs and symptoms &#40;heart rate&#44; blood pressure&#44; blood oxygen&#41; and laboratory test results at the time of admission &#40;hemoglobin&#44; leukocytes&#44; platelets&#44; serum creatinine&#41;&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Bronchial infection on chest CT angiography was defined as bronchial wall thickening&#44; centrilobular nodules&#44; and a tree-in-bud sign&#46; Pneumonia was diagnosed in patients with a lobar or segmental alveolar pattern who showed good clinical and radiological response to broad-spectrum antibiotic therapy&#46; Heart failure was diagnosed in patients with interstitial involvement &#40;Kerley lines&#41;&#44; an alveolar or ground-glass pattern predominantly in dependent regions&#44; and bilateral pleural effusion&#46; Histological confirmation of pulmonary nodules and masses was required for a diagnosis of cancer&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Episodes analyzed</span><p id="par0045" class="elsevierStylePara elsevierViewall">The primary outcome variable was the composite of readmission for COPD or all-cause mortality at 90 days&#46; Secondary variables were each of the individual components of the primary variable&#44; new onset or recurrent of non-fatal thrombotic events&#44; and length of hospital stay&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analysis</span><p id="par0050" class="elsevierStylePara elsevierViewall">Continuous data are shown as mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviation or median &#40;interquartile range&#41;&#44; and categorical data are shown as absolute values and proportions &#40;&#37;&#41;&#46; Differences between groups were tested using the Student&#39;s <span class="elsevierStyleItalic">t</span>-test or the Wilcoxon rank-sum test for continuous variables and the <span class="elsevierStyleItalic">&#967;</span><span class="elsevierStyleSup">2</span> test or Fisher&#39;s exact test for categorical variables&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">A multivariate logistic regression model was constructed to determine whether an alternative diagnosis on CT &#40;versus normal CT&#41; was independently correlated with the primary outcome variable&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">13</span></a> The model was constructed using a maximum of 10 variables that showed a univariate correlation with the outcome &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41; or that were considered clinically relevant based on expert opinion and published experience&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">14</span></a> These variables were&#58; &#40;a&#41; age&#59; &#40;b&#41; sex&#59; &#40;c&#41; COPD severity&#59; &#40;e&#41; congestive heart failure &#40;CHF&#41;&#59; &#40;f&#41; cancer&#59; &#40;g&#41; an alternative diagnosis on CT&#59; &#40;h&#41; immobilization&#59; &#40;i&#41; heart rate&#59; &#40;j&#41; systolic blood pressure&#59; and &#40;k&#41; blood oxygen levels&#46; Starting with the full model&#44; we used the backward elimination technique to eliminate any variables that did not modify the coefficient of the variable &#40;i&#46;e&#46;&#44; presence of an alternative diagnosis on CT&#41; by 10&#37; or more&#46; Odds ratios &#40;OR&#41; were calculated with their 95&#37; confidence intervals &#40;CI&#41;&#46; We then repeated the analyses to assess the prognostic significance of the presence &#40;versus absence&#41; of any diagnosis&#44; including PE&#44; on chest CT&#46; As the model was not adjusted for multiplicity&#44; the analyses of the secondary variables should be viewed as merely exploratory&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">A two-sided <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered indicative of statistical significance in all cases&#46; All analyses were performed on Stata&#44; version 13&#46;1 &#40;StataCorp LLC&#59; College Station&#44; Texas&#44; US&#41;&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Results</span><p id="par0065" class="elsevierStylePara elsevierViewall">We evaluated 1003 patients between September 2014 and July 2020&#59; 746 &#40;74&#46;4&#37;&#41; of these were randomized&#46; Of the 369 patients in the intervention group with a positive D-dimer test&#44; 192 underwent chest CT&#44; which was positive for PE in 17 &#40;8&#46;9&#37;&#41; cases&#46; We also analyzed data from the 175 patients in the intervention group that tested negative for PE on chest CT angiography &#40;i&#46;e&#46;&#44; normal CT or CT finding of an alternative diagnosis to PE&#41;&#46; Mean age was 72&#46;9 &#40;9&#46;7&#41; years and 78&#46;9&#37; were men&#46;</p><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Chest CT diagnoses and changes in treatment</span><p id="par0070" class="elsevierStylePara elsevierViewall">Chest CT findings were suggestive of an alternative diagnosis to PE in 133 patients &#40;76&#46;0&#37;&#59; 95&#37; CI&#44; 69&#46;0&#8211;82&#46;1&#37;&#41;&#46; Of these&#44; 84 &#40;48&#46;0&#37;&#41; were diagnosed with acute bronchial infection&#44; 13 &#40;7&#46;4&#37;&#41; with lung cancer&#44; 10 &#40;5&#46;7&#37;&#41; with heart failure&#44; 8 &#40;4&#46;6&#37;&#41; with pneumonia&#44; 18 &#40;10&#46;3&#37;&#41; with other diagnoses &#40;5 with bronchiectasis&#44; 4 with fibrosis&#44; 3 with pleural effusion&#44; 2 with pulmonary hypertension&#44; 2 with pericardial effusion&#44; 1 with hypersensitivity pneumonitis&#44; and 1 with organizing pneumonia&#41;&#46; Chest CT was normal in 42 &#40;24&#46;0&#37;&#41; patients&#46; Diagnosis of these comorbidities led to a change in the treatment of 31 patients &#40;31 of 133 patients&#59; 23&#46;3&#37;&#59; 95&#37; CI&#44; 16&#46;4&#8211;31&#46;4&#37;&#41;&#58; diuretics in 10 patients&#44; antibiotics in 9&#44; systemic corticosteroids in 7&#44; and treatment for lung cancer in 5 patients&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Demographic&#44; clinical and laboratory characteristics are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; There were no significant differences between the group of patients with an alternative diagnosis to PE on CT and the group of patients with normal CT&#46; Purulent sputum during exacerbation was found more frequently in patients with an alternative diagnosis to PE on CT &#40;8&#46;3&#37; versus 0&#37;&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;07&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Prognosis</span><p id="par0080" class="elsevierStylePara elsevierViewall">The primary event occurred in 55 &#40;31&#46;4&#37;&#59; 95&#37; CI&#44; 24&#46;6&#8211;38&#46;9&#37;&#41; of the 175 patients during the first 90 days of follow-up &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; Forty-five patients &#40;25&#46;7&#37;&#41; were readmitted due to exacerbation of their COPD&#44; and 16 patients &#40;9&#46;1&#37;&#41; died&#44; of whom 6 had previously been readmitted&#46; The primary event occurred in 40 of 133 patients &#40;30&#46;1&#37;&#41; with an alternative diagnosis to PE on chest CT&#44; and in 15 of 42 patients &#40;35&#46;7&#37;&#41; with normal CT &#40;difference 5&#46;6&#37;&#44; 95&#37; CI&#44; &#8722;10&#46;6 to 23&#46;6&#37;&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46; <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the distribution of events according to the presence or absence of an alternative diagnosis to PE on chest CT&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">In the univariate analysis&#44; age<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>75 years &#40;OR&#58; 1&#46;88&#59; 95&#37; CI&#58; 0&#46;99&#8211;3&#46;59&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;06&#41;&#44; cancer &#40;OR&#58; 4&#46;78&#59; 95&#37; CI&#58; 1&#46;15&#8211;19&#46;87&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41;&#44; and immobilization for medical reasons &#40;OR&#58; 1&#46;99&#59; 95&#37; CI&#58; 0&#46;96&#8211;4&#46;16&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;07&#41; significantly increased the risk of the composite endpoint occurring within 90 days of randomization &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46; In the multivariate analysis&#44; the finding of an alternative diagnosis to PET on chest CT &#40;versus normal CT&#41; was not independently associated with the composite endpoint in the first 90 days of follow-up &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;64&#59; 95&#37; CI&#58; 0&#46;30&#8211;1&#46;38&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;26&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">After adjusting for age<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>75 years&#44; cancer&#44; and medical immobilization&#44; an alternative diagnosis to PE on chest CT &#40;versus normal CT&#41; was not independently associated with all-cause mortality &#40;difference 12&#46;0&#37;&#59; 95&#37; CI&#44; 0&#46;6&#8211;19&#46;1&#37;&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#46;06&#41; or readmission for COPD &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;48&#59; 95&#37; CI&#44; 0&#46;22&#8211;1&#46;03&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;06&#41; within 90 days of randomization&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Secondary analysis</span><p id="par0095" class="elsevierStylePara elsevierViewall">We then analyzed the prognostic significance of the presence &#40;versus absence &#91;i&#46;e&#46;&#44; normal CT&#93;&#41; of any diagnosis&#44; including PE&#44; on chest CT&#46; A specific CT finding was identified in 150 patients &#40;150 of 192 patients&#59; 78&#46;1&#37;&#59; 95&#37; CI&#44; 71&#46;6&#8211;83&#46;8&#37;&#41;&#46; The finding of a specific diagnosis on chest CT was not independently associated with the composite endpoint &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;61&#59; 95&#37; CI&#58; 0&#46;29&#8211;1&#46;30&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;20&#41;&#44; all-cause death &#40;difference 11&#46;3&#37;&#59; 95&#37; CI&#44; 0&#46;0&#8211;17&#46;8&#37;&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;07&#41;&#44; or readmission for COPD &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;48&#59; 95&#37; CI&#58; 0&#46;22&#8211;1&#46;03&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;06&#41; within 90 days of randomization&#46;</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0100" class="elsevierStylePara elsevierViewall">In this subgroup analysis of the SLICE clinical trial&#44; an alternative diagnosis to PE was found in 75&#37; of patients with COPD exacerbation who underwent chest CT scan&#46; Although the presence of an alternative diagnosis to PE led to a change in treatment in 23&#37; of cases&#44; it was not associated with lower rate of mortality or readmission for COPD during follow-up&#46; Similar results were obtained when we analyzed the effect of any specific chest CT-based diagnosis &#40;including PE&#41; on the prognosis of these patients&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Several authors have evaluated the frequency of alternative diagnoses in patients undergoing chest CT for suspected PE&#44; and reported an incidence that ranges from 25&#37; to 52&#37;&#44; depending on the study&#46;<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">15&#8211;18</span></a> In a recent prospective study in 203 patients who underwent chest CT for suspected PE&#44;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">18</span></a> an alternative diagnosis was found in 88 patients &#40;43&#37;&#41;&#44; but this only affected therapy in 10 patients &#40;4&#46;9&#37;&#41;&#46; There is far less information on the utility of chest CT in patients hospitalized for COPD exacerbation&#46; In a retrospective study in 202 patients hospitalized for a COPD exacerbation&#44; a specific diagnosis was made in 42&#46;1&#37; of patients undergoing CT scan&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">12</span></a> Although these findings led to a change in treatment in 10&#46;9&#37; of patients&#44; length of hospital stay and need for intensive care were similar in both groups&#46; Our results confirm these findings&#46; Although a specific diagnosis is often found on chest CT&#44; this leads to a change in treatment in very few cases&#44; and has no significant effect on prognosis&#46; Clinical practice guidelines suggest the use of oral corticosteroids and antibiotics for COPD exacerbations that require hospital admission&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">19</span></a> For this reason&#44; more than three quarters of our patients with an alternative diagnosis to PE on chest CT were already receiving specific treatment for that diagnosis&#44; and this could explain why chest CT findings did not modify prognosis in our study&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Our results have practical consequences&#46; It is common for the emergency department to request a chest CT for patients with COPD exacerbation in order to confirm&#47;rule out PE as the cause and to arrive at an alternative diagnosis that could change the patient&#39;s existing treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">20</span></a> The SLICE trial showed that an algorithm &#40;including D-dimer and chest CT for D-dimer-positive patients&#41; for PE screening in patients hospitalized for COPD exacerbation had no clinical benefit&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">11</span></a> This subgroup analysis complements those results&#44; and suggests that a chest CT should not be routinely requested in this group of patients&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">This study has several limitations&#46; First&#44; it is a predefined subgroup analysis of patients in the intervention group of a clinical trial who underwent a chest CT scan&#46; The results&#44; therefore&#44; are merely intended to generate hypotheses&#46; Although adjustments were not made for multiplicity&#44; the absence of an independent association between an alternative diagnosis on CT and the primary outcome variable rules out a type I error and makes such adjustment unnecessary&#46; Second&#44; the number of events was too low to draw strong conclusions&#46; Finally&#44; in the SLICE trial&#44; only patients in the intervention group with positive D-dimer results underwent chest CT&#44; so our results cannot be extrapolated to all patients with COPD exacerbation requiring hospital admission&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">In conclusion&#44; chest CT in patients requiring admission for COPD exacerbation provides an alternative diagnosis &#40;other than PE&#41; in 76&#37; of cases&#46; Specific treatment of these pathologies does not improve prognosis in the first 3 months of follow-up&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Authors&#8217; contributions</span><p id="par0125" class="elsevierStylePara elsevierViewall">Concept and design&#58; Rodriguez&#44; Jimenez&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">Data acquisition&#44; data analysis and interpretation&#58; Rodr&#237;guez&#44; Solier&#44; Mar&#237;n&#44; Tenes&#44; Dur&#225;n&#44; Retegui&#44; Muriel&#44; Otero&#44; Monreal&#44; Jim&#233;nez&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">Writing of the manuscript&#58; Rodriguez&#44; Solier&#44; Marin&#44; Jimenez&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Supervision&#58; Rodriguez&#44; Jimenez&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">The corresponding author&#44; David Jim&#233;nez&#44; had full access to the study data&#44; and was ultimately responsible for submitting the manuscript for publication&#46;</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Funding</span><p id="par0150" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleGrantSponsor" id="gs1">ISC III</span> &#40;<span class="elsevierStyleGrantNumber" refid="gs1">PI14&#47;00400</span>&#41;&#44; <span class="elsevierStyleGrantSponsor" id="gs2">Chest Foundation&#44; Spanish Society of Pulmonology and Thoracic Surgery &#40;SEPAR&#41;</span>&#44; Neumosur and Daiichi Sankyo&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Conflict of interests</span><p id="par0155" class="elsevierStylePara elsevierViewall">None&#46;</p></span></span>"
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          "identificador" => "sec0060"
          "titulo" => "Authors&#8217; contributions"
        ]
        10 => array:2 [
          "identificador" => "sec0065"
          "titulo" => "Funding"
        ]
        11 => array:2 [
          "identificador" => "sec0070"
          "titulo" => "Conflict of interests"
        ]
        12 => array:1 [
          "titulo" => "References"
        ]
      ]
    ]
    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2021-12-26"
    "fechaAceptado" => "2022-02-12"
    "PalabrasClave" => array:2 [
      "en" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec1589251"
          "palabras" => array:4 [
            0 => "COPD"
            1 => "Pulmonary embolism"
            2 => "Computed tomography"
            3 => "Prognosis"
          ]
        ]
      ]
      "es" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palabras clave"
          "identificador" => "xpalclavsec1589252"
          "palabras" => array:4 [
            0 => "EPOC"
            1 => "Tromboembolia de pulm&#243;n"
            2 => "Tomograf&#237;a computarizada de t&#243;rax"
            3 => "Pron&#243;stico"
          ]
        ]
      ]
    ]
    "tieneResumen" => true
    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Background</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Among patients hospitalized for an exacerbation of chronic obstructive pulmonary disease &#40;COPD&#41;&#44; the SLICE trial showed that the addition of an active diagnostic strategy for pulmonary embolism &#40;PE&#41; to usual care compared with usual care alone did not improve a composite set of health outcomes&#46; The objective of this subanalysis was to determine the frequency and prognostic significance of findings on computed tomography pulmonary angiogram &#40;CTPA&#41; supporting an alternative diagnosis to PE&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">We analyzed all patients randomized to the intervention in the SLICE trial who received a CTPA that did not show PE&#46; We used multivariable logistic regression to assess the independent association between findings supporting an alternative diagnosis to PE and a composite of readmission for COPD or death within 90 days after randomization&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Among the 746 patients who were randomized&#44; this subanalysis included 175 patients in the intervention group who received a CTPA that did not show PE&#46; Eighty-four &#40;48&#46;0&#37;&#41; patients had acute bronchial infection&#44; 13 &#40;7&#46;4&#37;&#41; had lung cancer&#44; 10 &#40;5&#46;7&#37;&#41; had congestive heart failure&#44; 8 &#40;4&#46;6&#37;&#41;&#44; 18 &#40;10&#46;3&#37;&#41; had other diagnoses&#44; and 42 &#40;24&#46;0&#37;&#41; had a normal CTPA&#46; In multivariable analysis&#44; findings supporting an alternative diagnosis to PE were not significantly associated with the primary outcome &#40;<span class="elsevierStyleItalic">odds ratio</span>&#58; 0&#46;64&#59; 95&#37; confidence interval&#58; 0&#46;30&#8211;1&#46;38&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;26&#41;&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusions</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Among patients hospitalized for an exacerbation of COPD&#44; CTPA identified an alternative diagnosis in 76&#37; of the patients&#46; However&#44; specific management of these patients was not associated with improved outcomes within 90 days after randomization&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Background"
          ]
          1 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Methods"
          ]
          2 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Results"
          ]
          3 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Conclusions"
          ]
        ]
      ]
      "es" => array:3 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Antecedentes</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">El ensayo cl&#237;nico SLICE no demostr&#243; un beneficio cl&#237;nico de la b&#250;squeda activa de la tromboembolia de pulm&#243;n &#40;TEP&#41; en pacientes que requirieron ingreso por agudizaci&#243;n de su enfermedad pulmonar obstructiva cr&#243;nica &#40;EPOC&#41;&#46; El objetivo de este suban&#225;lisis fue determinar la frecuencia y el significado pron&#243;stico del hallazgo de un diagn&#243;stico alternativo a la TEP en la tomograf&#237;a computarizada de t&#243;rax &#40;TC&#41; realizada a pacientes hospitalizados por EPOC agudizada&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">M&#233;todos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Analizamos los pacientes del grupo intervenci&#243;n de SLICE que recibieron una TC con resultado negativo para TEP&#46; Evaluamos mediante el uso de regresi&#243;n log&#237;stica multivariable la asociaci&#243;n entre un diagn&#243;stico alternativo y el evento primario compuesto de reingreso por EPOC y la mortalidad por cualquier causa en los primeros 90 d&#237;as despu&#233;s de la aleatorizaci&#243;n&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Resultados</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Este an&#225;lisis incluy&#243; a 175 pacientes del grupo intervenci&#243;n que recibieron una TC con un resultado negativo para TEP&#46; De ellos&#44; 84 &#40;48&#44;0&#37;&#41; fueron diagnosticados de infecci&#243;n bronquial aguda&#44; 13 &#40;7&#44;4&#37;&#41; de c&#225;ncer de pulm&#243;n&#44; 10 &#40;5&#44;7&#37;&#41; de insuficiencia cardiaca&#44; 8 &#40;4&#44;6&#37;&#41; de neumon&#237;a&#44; 18 &#40;10&#44;3&#37;&#41; de otros diagn&#243;sticos&#44; y en 42 &#40;24&#44;0&#37;&#41; pacientes la TC fue normal&#46; En el an&#225;lisis multivariable&#44; un diagn&#243;stico alternativo no se asoci&#243; de manera significativa con el evento primario &#40;<span class="elsevierStyleItalic">odds ratio</span>&#58; 0&#44;64&#59; IC 95&#37;&#58; 0&#44;30-1&#44;38&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;26&#41;&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Conclusiones</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Entre los pacientes que requieren ingreso por agudizaci&#243;n de EPOC&#44; la TC ofrece un diagn&#243;stico alternativo a la TEP en el 76&#37; de las ocasiones&#46; El tratamiento espec&#237;fico de estas patolog&#237;as no se asocia a un mejor pron&#243;stico durante el seguimiento&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "Antecedentes"
          ]
          1 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "M&#233;todos"
          ]
          2 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Resultados"
          ]
          3 => array:2 [
            "identificador" => "abst0045"
            "titulo" => "Conclusiones"
          ]
        ]
      ]
    ]
    "NotaPie" => array:1 [
      0 => array:3 [
        "etiqueta" => "&#9674;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Investigators who participated in the SLICE trial are listed in the <a class="elsevierStyleCrossRef" href="#sec0075">annex</a>&#46;</p>"
        "identificador" => "fn0005"
      ]
    ]
    "apendice" => array:1 [
      0 => array:1 [
        "seccion" => array:1 [
          0 => array:4 [
            "apendice" => "<p id="par0160" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Barcelona</span> &#40;20 patients&#41;&#58; S&#46; Jim&#233;nez &#40;16 patients&#41;&#44; A&#46; Vilas &#40;3 patients&#41;&#44; D&#46; Aisa &#40;1 patient&#41;&#59; <span class="elsevierStyleItalic">Bilbao</span> &#40;113 patients&#41;&#58; E&#46; Tabernero&#47;B&#46; Gonz&#225;lez-Quero &#40;113 patients&#41;&#59; <span class="elsevierStyleItalic">Galdakao</span> &#40;21 patients&#41;&#58; A&#46; Ballaz&#47;L&#46; Chasco &#40;21 patients&#41;&#59; <span class="elsevierStyleItalic">Gran Canaria</span> &#40;35 patients&#41;&#58; G&#46; P&#233;rez-Pe&#241;ate&#47;F&#46; Le&#243;n-Marrero &#40;35 patients&#41;&#59; <span class="elsevierStyleItalic">La Coruna</span> &#40;25 patients&#41;&#58; P&#46; Marcos-Rodriguez&#47;SJ Dominguez-Pazos &#40;25 patients&#41;&#59; <span class="elsevierStyleItalic">Madrid</span> &#40;364 patients&#41;&#58; D&#46; Jimenez&#47;A&#46; Quezada &#40;171 patients&#41;&#44; A&#46; Hernando&#47;JI de Granda-Orive &#40;91 patients&#41;&#44; P&#46; Ruiz-Artacho&#47;F&#46; Beddar-Chaib &#40;56 patients&#41;&#44; MJ Rodr&#237;guez-Nieto&#47;Itziar Fern&#225;ndez-Ormaechea &#40;28 patients&#41;&#44; M&#46; Calle&#47;JL Rodriguez-Hermosa&#47;J&#46; Carriel &#40;12 patients&#41;&#44; A&#46; Mart&#237;nez-Verdasco &#40;2 patients&#41;&#44; J&#46; de Miguel-D&#237;ez &#40;2 patients&#41;&#44; MA Quesada &#40;2 patients&#41;&#59; <span class="elsevierStyleItalic">Santander</span> &#40;17 patients&#41;&#58; &#8211; R&#46; Ag&#252;ero &#40;17 patients&#41;&#59; <span class="elsevierStyleItalic">Seville</span> &#40;112 patients&#41;&#58; L&#46; Jara-Palomares&#47;R&#46; Otero&#47;E&#46; Marquez-Mart&#237;n &#40;112 patients&#41;&#59; <span class="elsevierStyleItalic">Valencia</span> &#40;8 patients&#41;&#58; R&#46; L&#243;pez-Reyes &#40;8 patients&#41;&#59; <span class="elsevierStyleItalic">Vitoria</span> &#40;31 patients&#41;&#58; J&#46;L&#46; Lobo&#47;A&#46; Rivas-Guerrero &#40;31 patients&#41;&#46;</p>"
            "etiqueta" => "Annex"
            "titulo" => "SLICE Trial Investigators"
            "identificador" => "sec0075"
          ]
        ]
      ]
    ]
    "multimedia" => array:5 [
      0 => array:7 [
        "identificador" => "fig0005"
        "etiqueta" => "Fig&#46; 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Cumulative percentage of events based on the presence of an alternative diagnosis to PE on chest CT or a normal chest CT&#46;</p>"
        ]
      ]
      1 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
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          0 => array:3 [
            "identificador" => "at1"
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        "tabla" => array:3 [
          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>&#58; COPD&#44; chronic obstructive pulmonary disease&#59; CT&#44; computed tomography&#59; FEV1&#44; forced expiratory volume in 1 second&#59; SatO<span class="elsevierStyleInf">2</span>&#44; blood oxygen&#59; SD&#44; standard deviation&#59; VTE&#44; venous thromboembolism&#46;</p>"
          "tablatextoimagen" => array:1 [
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              "tabla" => array:1 [
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col">No&#46; &#40;&#37;&#41; of patients&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With alternative diagnosis on CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>133&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With normal CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>42&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">64 &#40;48&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">19 &#40;45&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;86&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Male&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">107 &#40;80&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">31 &#40;73&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;39&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">11 &#40;26&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Active smoker</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">38 &#40;28&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">10 &#40;23&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;69&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Pack-years&#44; mean &#40;SD&#41;&#44; no&#46;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">71&#46;2 &#40;35&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">COPD exacerbations in the previous 12 months&#44; mean &#40;SD&#41;&#44; no&#46;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;3 &#40;1&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;7 &#40;2&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Post-bronchodilator FEV</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">1</span></span><span class="elsevierStyleItalic">&#44; mean &#40;SD&#41;&#44; &#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#46;4 &#40;18&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">47&#46;2 &#40;20&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Very severe COPD&#58; &#60;30&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;9&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;19&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;42&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Severe COPD&#58; 30&#37; to &#60;50&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">62 &#40;46&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17 &#40;40&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Moderate COPD&#58; 50&#37; to &#60;80&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45 &#40;33&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14 &#40;33&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Mild COPD&#58; &#8805;80&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;9&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;7&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">VTE risk factors</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Immobilization<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33 &#40;24&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;14&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sleep apnea&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17 &#40;12&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;19&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart failure&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27 &#40;20&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;11&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cancer<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;6&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;69&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>History of VTE&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;2&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Surgery<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Symptoms and signs</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dyspnea&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">132 &#40;99&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart rate<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>100&#47;min&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40 &#40;30&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;38&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Increased sputum volume&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46 &#40;34&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;31&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;71&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Purulent sputum&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11 &#40;8&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;07&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Systolic blood pressure<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>100<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;4&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SatO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>90&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58 &#40;43&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14 &#40;33&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Clinical probability &#40;Wells scale&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Low&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56 &#40;17&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20 &#40;47&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Intermediate&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">77 &#40;83&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22 &#40;52&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>High&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Lab tests</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinine&#44; mean &#40;SD&#41;&#44; mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;9 &#40;0&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;9 &#40;0&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;71&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinine<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>1&#46;5<span class="elsevierStyleHsp" style=""></span>g&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;3&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;57&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hemoglobin&#44; mean &#40;SD&#41;&#44; mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;9 &#40;2&#46;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;4 &#40;2&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Leukocytes<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span>&#47;L&#44; mean &#40;SD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;4 &#40;10&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10&#46;0 &#40;3&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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            0 => array:3 [
              "identificador" => "tblfn0005"
              "etiqueta" => "a"
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            1 => array:3 [
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>&#58; COPD&#44; chronic obstructive pulmonary disease&#59; CT&#44; computed tomography&#59; SD&#44; standard deviation&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Events&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">All patients&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>175&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With alternative diagnosis on CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>133&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With normal CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>42&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Primary event</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Readmission for COPD or all-cause death&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55 &#40;31&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40 &#40;30&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;35&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Secondary events</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Readmission for COPD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45 &#40;25&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30 &#40;22&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;35&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>All-cause death&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;9&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;12&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Recurrence of non-fatal thrombosis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hospital length of stay mean &#40;SD&#41;&#44; days&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;9 &#40;4&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;9 &#40;4&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;8 &#40;4&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
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        "descripcion" => array:1 [
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        ]
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      3 => array:8 [
        "identificador" => "tbl0015"
        "etiqueta" => "Table 3"
        "tipo" => "MULTIMEDIATABLA"
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          0 => array:3 [
            "identificador" => "at3"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>&#58; CHF&#44; congestive heart failure&#59; COPD&#44; chronic obstructive pulmonary disease&#59; CT&#44; computed tomography&#59; FEV1&#44; forced expiratory volume in 1 second&#59; OR&#44; odds ratio&#59; SatO<span class="elsevierStyleInf">2</span>&#44; blood oxygen&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Predictor variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Unadjusted OR &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Adjusted OR &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>75 years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;88 &#40;0&#46;99&#8211;3&#46;59&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;88 &#40;0&#46;96&#8211;3&#46;68&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Men&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;56 &#40;0&#46;68&#8211;3&#46;57&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Postbronchodilator FEV<span class="elsevierStyleInf">1</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;41 &#40;0&#46;07&#8211;2&#46;39&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CHF&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;94 &#40;0&#46;88&#8211;4&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Cancer&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;78 &#40;1&#46;15&#8211;19&#46;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;57 &#40;1&#46;29&#8211;24&#46;04&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Alternative diagnosis on CT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;77 &#40;0&#46;37&#8211;1&#46;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;49&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;64 &#40;0&#46;30&#8211; 1&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Immobilization&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;99 &#40;0&#46;96&#8211;4&#46;16&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;07&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;03 &#40;0&#46;95&#8211;4&#46;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;07&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Heart rate<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>100&#47;min&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;50 &#40;0&#46;77&#8211;2&#46;94&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Systolic blood pressure<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>100<span class="elsevierStyleHsp" style=""></span>mm Hg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;35 &#40;0&#46;04&#8211;3&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;34&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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Original Article
Prognostic Significance of Findings on CTPA Supporting an Alternative Diagnosis to PE Among Patients Hospitalized for an Exacerbation of COPD: Predefined Subanalysis of the SLICE Trial
Significado pronóstico de los diagnósticos alternativos a la TEP hallados en la tomografía computarizada de tórax de pacientes ingresados por agudización de EPOC: subanálisis predefinido del ensayo SLICE
Carmen Rodrígueza, Aurora Soliera, Marta Marína, Andrés Tenesa, Diego Durána, Ana Reteguia, Alfonso Murielb, Remedios Oteroc,d, Manuel Monrealc,e, David Jiméneza,c,f,
Corresponding author
djimenez.hrc@gmail.com

Corresponding author.
, the SLICE investigators
a Servicio de Neumología, Hospital Ramón y Cajal (IRYCIS), Madrid, Spain
b Unidad de Bioestadística Clínica, Hospital Ramón y Cajal (IRYCIS), CIBERESP, Universidad de Alcalá, Madrid, Spain
c CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
d Servicio de Neumología, Hospital Virgen del Rocío-IBIS-Universidad de Sevilla, Sevilla, Spain
e Servicio de Medicina Interna, Hospital Germans Trias i Pujol, Badalona, Spain
f Departamento de Medicina, Universidad de Alcalá, Madrid, Spain
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Chronic obstructive pulmonary disease &#40;COPD&#41; is a common cause of morbidity and mortality worldwide&#46;<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">1&#44;2</span></a> During the course of their disease&#44; patients with COPD may experience exacerbations &#40;defined as acute worsening of respiratory symptoms requiring intensified treatment&#41; that can lead to hospitalization&#44; increase the risk of further exacerbations&#44; and worsen their prognosis&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">3&#44;4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Some diseases such as heart failure&#44; pneumothorax or pulmonary embolism &#40;PE&#41; can mimic &#40;or coexist with&#41; a COPD exacerbation&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">5</span></a> The results of studies investigating the prevalence of PE in this group of patients have been inconsistent&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">6&#8211;8</span></a> A French study that included 211 patients with COPD exacerbations of unknown cause found a prevalence of PE of 21&#46;8&#37;&#44; 95&#37; of which were central or segmental&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">6</span></a> However&#44; Couturaud et al&#46; reported a prevalence of PE of 5&#46;9&#37; in a series of 740 patients with COPD exacerbation requiring hospital admission&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">9</span></a> Recently&#44; the SLICE &#40;Significance of Pulmonary Embolism in COPD Exacerbations&#41; multicenter clinical trial evaluated the efficacy and safety of an active strategy for diagnosing PE in patients requiring hospital admission due to exacerbation of their COPD&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">10</span></a> In this trial&#44; proactive screening for PE had no statistically significant effect on improving the primary composite endpoint of venous thromboembolism &#40;VTE&#41;&#44; readmission for COPD&#44; or death from any cause within 3 months of randomization&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">11</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Although the results of the SLICE trial showed that proactive diagnosis of PE in these patients has no clinical benefit&#44; some studies suggest that chest computed tomography &#40;CT&#41; is more sensitive than chest radiography for the diagnosis of comorbidities that mimic COPD exacerbation&#44;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">12</span></a> and clinical practice guidelines recommend identifying the precipitating factor in order to administer appropriate treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">5</span></a> Nevertheless&#44; there is no evidence that identifying a comorbidity on chest CT and administering targeted treatment will improve prognosis in these patients&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The aim of this subgroup analysis was to calculate the number of patients hospitalized for COPD exacerbations in whom chest CT provided an alternative diagnosis to PE&#44; and to determine the prognostic significance of diagnosing and specifically treating these comorbidities&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Method</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Study design and population</span><p id="par0025" class="elsevierStylePara elsevierViewall">This is a subgroup analysis of the SLICE multicenter clinical trial&#46; The protocol and main analysis of SLICE have been published elsewhere&#46;<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">10&#44;11</span></a> In brief&#44; SLICE randomized consecutive patients requiring hospitalization for exacerbation of their COPD to proactive screening for PE or conventional management based on local protocols and clinical practice guidelines&#46; Screening for PE initially consisted of performing a D-dimer test&#46; A negative D-dimer &#40;according to the cut-off point used in each participating center&#41; excluded PE&#46; Patients with a positive D-dimer test underwent chest CT angiography within 12<span class="elsevierStyleHsp" style=""></span>h of randomization&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">10</span></a> A negative CT angiography ruled out PE&#44; while a positive CT angiography was an indication for anticoagulant treatment&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">In this subgroup analysis&#44; we included all patients in the intervention group of the SLICE trial that tested negative for PE on chest CT angiography &#40;i&#46;e&#46;&#44; normal CT or CT finding of an alternative diagnosis to PE&#41;&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Variables analyzed and definition of alternative diagnoses</span><p id="par0035" class="elsevierStylePara elsevierViewall">Demographic&#44; clinical&#44; and laboratory data were collected at the time of randomization&#46; These included&#44; among others&#58; age&#44; sex&#44; weight&#44; height&#44; comorbidities &#40;cancer &#91;non-lung&#93;&#44; ischemic heart disease&#44; heart failure&#44; sleep apnea&#41;&#44; risk of VTE &#40;previous surgery&#44; immobilization&#44; history of VTE&#41;&#44; severity of COPD&#44; number of exacerbations in the preceding year&#44; treatment for the stable phase of COPD&#44; clinical signs and symptoms &#40;heart rate&#44; blood pressure&#44; blood oxygen&#41; and laboratory test results at the time of admission &#40;hemoglobin&#44; leukocytes&#44; platelets&#44; serum creatinine&#41;&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">Bronchial infection on chest CT angiography was defined as bronchial wall thickening&#44; centrilobular nodules&#44; and a tree-in-bud sign&#46; Pneumonia was diagnosed in patients with a lobar or segmental alveolar pattern who showed good clinical and radiological response to broad-spectrum antibiotic therapy&#46; Heart failure was diagnosed in patients with interstitial involvement &#40;Kerley lines&#41;&#44; an alveolar or ground-glass pattern predominantly in dependent regions&#44; and bilateral pleural effusion&#46; Histological confirmation of pulmonary nodules and masses was required for a diagnosis of cancer&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Episodes analyzed</span><p id="par0045" class="elsevierStylePara elsevierViewall">The primary outcome variable was the composite of readmission for COPD or all-cause mortality at 90 days&#46; Secondary variables were each of the individual components of the primary variable&#44; new onset or recurrent of non-fatal thrombotic events&#44; and length of hospital stay&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analysis</span><p id="par0050" class="elsevierStylePara elsevierViewall">Continuous data are shown as mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviation or median &#40;interquartile range&#41;&#44; and categorical data are shown as absolute values and proportions &#40;&#37;&#41;&#46; Differences between groups were tested using the Student&#39;s <span class="elsevierStyleItalic">t</span>-test or the Wilcoxon rank-sum test for continuous variables and the <span class="elsevierStyleItalic">&#967;</span><span class="elsevierStyleSup">2</span> test or Fisher&#39;s exact test for categorical variables&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">A multivariate logistic regression model was constructed to determine whether an alternative diagnosis on CT &#40;versus normal CT&#41; was independently correlated with the primary outcome variable&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">13</span></a> The model was constructed using a maximum of 10 variables that showed a univariate correlation with the outcome &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41; or that were considered clinically relevant based on expert opinion and published experience&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">14</span></a> These variables were&#58; &#40;a&#41; age&#59; &#40;b&#41; sex&#59; &#40;c&#41; COPD severity&#59; &#40;e&#41; congestive heart failure &#40;CHF&#41;&#59; &#40;f&#41; cancer&#59; &#40;g&#41; an alternative diagnosis on CT&#59; &#40;h&#41; immobilization&#59; &#40;i&#41; heart rate&#59; &#40;j&#41; systolic blood pressure&#59; and &#40;k&#41; blood oxygen levels&#46; Starting with the full model&#44; we used the backward elimination technique to eliminate any variables that did not modify the coefficient of the variable &#40;i&#46;e&#46;&#44; presence of an alternative diagnosis on CT&#41; by 10&#37; or more&#46; Odds ratios &#40;OR&#41; were calculated with their 95&#37; confidence intervals &#40;CI&#41;&#46; We then repeated the analyses to assess the prognostic significance of the presence &#40;versus absence&#41; of any diagnosis&#44; including PE&#44; on chest CT&#46; As the model was not adjusted for multiplicity&#44; the analyses of the secondary variables should be viewed as merely exploratory&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">A two-sided <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered indicative of statistical significance in all cases&#46; All analyses were performed on Stata&#44; version 13&#46;1 &#40;StataCorp LLC&#59; College Station&#44; Texas&#44; US&#41;&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Results</span><p id="par0065" class="elsevierStylePara elsevierViewall">We evaluated 1003 patients between September 2014 and July 2020&#59; 746 &#40;74&#46;4&#37;&#41; of these were randomized&#46; Of the 369 patients in the intervention group with a positive D-dimer test&#44; 192 underwent chest CT&#44; which was positive for PE in 17 &#40;8&#46;9&#37;&#41; cases&#46; We also analyzed data from the 175 patients in the intervention group that tested negative for PE on chest CT angiography &#40;i&#46;e&#46;&#44; normal CT or CT finding of an alternative diagnosis to PE&#41;&#46; Mean age was 72&#46;9 &#40;9&#46;7&#41; years and 78&#46;9&#37; were men&#46;</p><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Chest CT diagnoses and changes in treatment</span><p id="par0070" class="elsevierStylePara elsevierViewall">Chest CT findings were suggestive of an alternative diagnosis to PE in 133 patients &#40;76&#46;0&#37;&#59; 95&#37; CI&#44; 69&#46;0&#8211;82&#46;1&#37;&#41;&#46; Of these&#44; 84 &#40;48&#46;0&#37;&#41; were diagnosed with acute bronchial infection&#44; 13 &#40;7&#46;4&#37;&#41; with lung cancer&#44; 10 &#40;5&#46;7&#37;&#41; with heart failure&#44; 8 &#40;4&#46;6&#37;&#41; with pneumonia&#44; 18 &#40;10&#46;3&#37;&#41; with other diagnoses &#40;5 with bronchiectasis&#44; 4 with fibrosis&#44; 3 with pleural effusion&#44; 2 with pulmonary hypertension&#44; 2 with pericardial effusion&#44; 1 with hypersensitivity pneumonitis&#44; and 1 with organizing pneumonia&#41;&#46; Chest CT was normal in 42 &#40;24&#46;0&#37;&#41; patients&#46; Diagnosis of these comorbidities led to a change in the treatment of 31 patients &#40;31 of 133 patients&#59; 23&#46;3&#37;&#59; 95&#37; CI&#44; 16&#46;4&#8211;31&#46;4&#37;&#41;&#58; diuretics in 10 patients&#44; antibiotics in 9&#44; systemic corticosteroids in 7&#44; and treatment for lung cancer in 5 patients&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Demographic&#44; clinical and laboratory characteristics are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; There were no significant differences between the group of patients with an alternative diagnosis to PE on CT and the group of patients with normal CT&#46; Purulent sputum during exacerbation was found more frequently in patients with an alternative diagnosis to PE on CT &#40;8&#46;3&#37; versus 0&#37;&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;07&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Prognosis</span><p id="par0080" class="elsevierStylePara elsevierViewall">The primary event occurred in 55 &#40;31&#46;4&#37;&#59; 95&#37; CI&#44; 24&#46;6&#8211;38&#46;9&#37;&#41; of the 175 patients during the first 90 days of follow-up &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; Forty-five patients &#40;25&#46;7&#37;&#41; were readmitted due to exacerbation of their COPD&#44; and 16 patients &#40;9&#46;1&#37;&#41; died&#44; of whom 6 had previously been readmitted&#46; The primary event occurred in 40 of 133 patients &#40;30&#46;1&#37;&#41; with an alternative diagnosis to PE on chest CT&#44; and in 15 of 42 patients &#40;35&#46;7&#37;&#41; with normal CT &#40;difference 5&#46;6&#37;&#44; 95&#37; CI&#44; &#8722;10&#46;6 to 23&#46;6&#37;&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46; <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the distribution of events according to the presence or absence of an alternative diagnosis to PE on chest CT&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">In the univariate analysis&#44; age<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>75 years &#40;OR&#58; 1&#46;88&#59; 95&#37; CI&#58; 0&#46;99&#8211;3&#46;59&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;06&#41;&#44; cancer &#40;OR&#58; 4&#46;78&#59; 95&#37; CI&#58; 1&#46;15&#8211;19&#46;87&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41;&#44; and immobilization for medical reasons &#40;OR&#58; 1&#46;99&#59; 95&#37; CI&#58; 0&#46;96&#8211;4&#46;16&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;07&#41; significantly increased the risk of the composite endpoint occurring within 90 days of randomization &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46; In the multivariate analysis&#44; the finding of an alternative diagnosis to PET on chest CT &#40;versus normal CT&#41; was not independently associated with the composite endpoint in the first 90 days of follow-up &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;64&#59; 95&#37; CI&#58; 0&#46;30&#8211;1&#46;38&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;26&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">After adjusting for age<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>75 years&#44; cancer&#44; and medical immobilization&#44; an alternative diagnosis to PE on chest CT &#40;versus normal CT&#41; was not independently associated with all-cause mortality &#40;difference 12&#46;0&#37;&#59; 95&#37; CI&#44; 0&#46;6&#8211;19&#46;1&#37;&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#46;06&#41; or readmission for COPD &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;48&#59; 95&#37; CI&#44; 0&#46;22&#8211;1&#46;03&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;06&#41; within 90 days of randomization&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Secondary analysis</span><p id="par0095" class="elsevierStylePara elsevierViewall">We then analyzed the prognostic significance of the presence &#40;versus absence &#91;i&#46;e&#46;&#44; normal CT&#93;&#41; of any diagnosis&#44; including PE&#44; on chest CT&#46; A specific CT finding was identified in 150 patients &#40;150 of 192 patients&#59; 78&#46;1&#37;&#59; 95&#37; CI&#44; 71&#46;6&#8211;83&#46;8&#37;&#41;&#46; The finding of a specific diagnosis on chest CT was not independently associated with the composite endpoint &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;61&#59; 95&#37; CI&#58; 0&#46;29&#8211;1&#46;30&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;20&#41;&#44; all-cause death &#40;difference 11&#46;3&#37;&#59; 95&#37; CI&#44; 0&#46;0&#8211;17&#46;8&#37;&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;07&#41;&#44; or readmission for COPD &#40;OR<span class="elsevierStyleInf">adjusted</span>&#58; 0&#46;48&#59; 95&#37; CI&#58; 0&#46;22&#8211;1&#46;03&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;06&#41; within 90 days of randomization&#46;</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0100" class="elsevierStylePara elsevierViewall">In this subgroup analysis of the SLICE clinical trial&#44; an alternative diagnosis to PE was found in 75&#37; of patients with COPD exacerbation who underwent chest CT scan&#46; Although the presence of an alternative diagnosis to PE led to a change in treatment in 23&#37; of cases&#44; it was not associated with lower rate of mortality or readmission for COPD during follow-up&#46; Similar results were obtained when we analyzed the effect of any specific chest CT-based diagnosis &#40;including PE&#41; on the prognosis of these patients&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Several authors have evaluated the frequency of alternative diagnoses in patients undergoing chest CT for suspected PE&#44; and reported an incidence that ranges from 25&#37; to 52&#37;&#44; depending on the study&#46;<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">15&#8211;18</span></a> In a recent prospective study in 203 patients who underwent chest CT for suspected PE&#44;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">18</span></a> an alternative diagnosis was found in 88 patients &#40;43&#37;&#41;&#44; but this only affected therapy in 10 patients &#40;4&#46;9&#37;&#41;&#46; There is far less information on the utility of chest CT in patients hospitalized for COPD exacerbation&#46; In a retrospective study in 202 patients hospitalized for a COPD exacerbation&#44; a specific diagnosis was made in 42&#46;1&#37; of patients undergoing CT scan&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">12</span></a> Although these findings led to a change in treatment in 10&#46;9&#37; of patients&#44; length of hospital stay and need for intensive care were similar in both groups&#46; Our results confirm these findings&#46; Although a specific diagnosis is often found on chest CT&#44; this leads to a change in treatment in very few cases&#44; and has no significant effect on prognosis&#46; Clinical practice guidelines suggest the use of oral corticosteroids and antibiotics for COPD exacerbations that require hospital admission&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">19</span></a> For this reason&#44; more than three quarters of our patients with an alternative diagnosis to PE on chest CT were already receiving specific treatment for that diagnosis&#44; and this could explain why chest CT findings did not modify prognosis in our study&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Our results have practical consequences&#46; It is common for the emergency department to request a chest CT for patients with COPD exacerbation in order to confirm&#47;rule out PE as the cause and to arrive at an alternative diagnosis that could change the patient&#39;s existing treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">20</span></a> The SLICE trial showed that an algorithm &#40;including D-dimer and chest CT for D-dimer-positive patients&#41; for PE screening in patients hospitalized for COPD exacerbation had no clinical benefit&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">11</span></a> This subgroup analysis complements those results&#44; and suggests that a chest CT should not be routinely requested in this group of patients&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">This study has several limitations&#46; First&#44; it is a predefined subgroup analysis of patients in the intervention group of a clinical trial who underwent a chest CT scan&#46; The results&#44; therefore&#44; are merely intended to generate hypotheses&#46; Although adjustments were not made for multiplicity&#44; the absence of an independent association between an alternative diagnosis on CT and the primary outcome variable rules out a type I error and makes such adjustment unnecessary&#46; Second&#44; the number of events was too low to draw strong conclusions&#46; Finally&#44; in the SLICE trial&#44; only patients in the intervention group with positive D-dimer results underwent chest CT&#44; so our results cannot be extrapolated to all patients with COPD exacerbation requiring hospital admission&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">In conclusion&#44; chest CT in patients requiring admission for COPD exacerbation provides an alternative diagnosis &#40;other than PE&#41; in 76&#37; of cases&#46; Specific treatment of these pathologies does not improve prognosis in the first 3 months of follow-up&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Authors&#8217; contributions</span><p id="par0125" class="elsevierStylePara elsevierViewall">Concept and design&#58; Rodriguez&#44; Jimenez&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">Data acquisition&#44; data analysis and interpretation&#58; Rodr&#237;guez&#44; Solier&#44; Mar&#237;n&#44; Tenes&#44; Dur&#225;n&#44; Retegui&#44; Muriel&#44; Otero&#44; Monreal&#44; Jim&#233;nez&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">Writing of the manuscript&#58; Rodriguez&#44; Solier&#44; Marin&#44; Jimenez&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Supervision&#58; Rodriguez&#44; Jimenez&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">The corresponding author&#44; David Jim&#233;nez&#44; had full access to the study data&#44; and was ultimately responsible for submitting the manuscript for publication&#46;</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Funding</span><p id="par0150" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleGrantSponsor" id="gs1">ISC III</span> &#40;<span class="elsevierStyleGrantNumber" refid="gs1">PI14&#47;00400</span>&#41;&#44; <span class="elsevierStyleGrantSponsor" id="gs2">Chest Foundation&#44; Spanish Society of Pulmonology and Thoracic Surgery &#40;SEPAR&#41;</span>&#44; Neumosur and Daiichi Sankyo&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Conflict of interests</span><p id="par0155" class="elsevierStylePara elsevierViewall">None&#46;</p></span></span>"
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    "fechaRecibido" => "2021-12-26"
    "fechaAceptado" => "2022-02-12"
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            0 => "EPOC"
            1 => "Tromboembolia de pulm&#243;n"
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        "titulo" => "Abstract"
        "resumen" => "<span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Background</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Among patients hospitalized for an exacerbation of chronic obstructive pulmonary disease &#40;COPD&#41;&#44; the SLICE trial showed that the addition of an active diagnostic strategy for pulmonary embolism &#40;PE&#41; to usual care compared with usual care alone did not improve a composite set of health outcomes&#46; The objective of this subanalysis was to determine the frequency and prognostic significance of findings on computed tomography pulmonary angiogram &#40;CTPA&#41; supporting an alternative diagnosis to PE&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">We analyzed all patients randomized to the intervention in the SLICE trial who received a CTPA that did not show PE&#46; We used multivariable logistic regression to assess the independent association between findings supporting an alternative diagnosis to PE and a composite of readmission for COPD or death within 90 days after randomization&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Among the 746 patients who were randomized&#44; this subanalysis included 175 patients in the intervention group who received a CTPA that did not show PE&#46; Eighty-four &#40;48&#46;0&#37;&#41; patients had acute bronchial infection&#44; 13 &#40;7&#46;4&#37;&#41; had lung cancer&#44; 10 &#40;5&#46;7&#37;&#41; had congestive heart failure&#44; 8 &#40;4&#46;6&#37;&#41;&#44; 18 &#40;10&#46;3&#37;&#41; had other diagnoses&#44; and 42 &#40;24&#46;0&#37;&#41; had a normal CTPA&#46; In multivariable analysis&#44; findings supporting an alternative diagnosis to PE were not significantly associated with the primary outcome &#40;<span class="elsevierStyleItalic">odds ratio</span>&#58; 0&#46;64&#59; 95&#37; confidence interval&#58; 0&#46;30&#8211;1&#46;38&#59; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;26&#41;&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusions</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Among patients hospitalized for an exacerbation of COPD&#44; CTPA identified an alternative diagnosis in 76&#37; of the patients&#46; However&#44; specific management of these patients was not associated with improved outcomes within 90 days after randomization&#46;</p></span>"
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        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Antecedentes</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">El ensayo cl&#237;nico SLICE no demostr&#243; un beneficio cl&#237;nico de la b&#250;squeda activa de la tromboembolia de pulm&#243;n &#40;TEP&#41; en pacientes que requirieron ingreso por agudizaci&#243;n de su enfermedad pulmonar obstructiva cr&#243;nica &#40;EPOC&#41;&#46; El objetivo de este suban&#225;lisis fue determinar la frecuencia y el significado pron&#243;stico del hallazgo de un diagn&#243;stico alternativo a la TEP en la tomograf&#237;a computarizada de t&#243;rax &#40;TC&#41; realizada a pacientes hospitalizados por EPOC agudizada&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">M&#233;todos</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Analizamos los pacientes del grupo intervenci&#243;n de SLICE que recibieron una TC con resultado negativo para TEP&#46; Evaluamos mediante el uso de regresi&#243;n log&#237;stica multivariable la asociaci&#243;n entre un diagn&#243;stico alternativo y el evento primario compuesto de reingreso por EPOC y la mortalidad por cualquier causa en los primeros 90 d&#237;as despu&#233;s de la aleatorizaci&#243;n&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Resultados</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Este an&#225;lisis incluy&#243; a 175 pacientes del grupo intervenci&#243;n que recibieron una TC con un resultado negativo para TEP&#46; De ellos&#44; 84 &#40;48&#44;0&#37;&#41; fueron diagnosticados de infecci&#243;n bronquial aguda&#44; 13 &#40;7&#44;4&#37;&#41; de c&#225;ncer de pulm&#243;n&#44; 10 &#40;5&#44;7&#37;&#41; de insuficiencia cardiaca&#44; 8 &#40;4&#44;6&#37;&#41; de neumon&#237;a&#44; 18 &#40;10&#44;3&#37;&#41; de otros diagn&#243;sticos&#44; y en 42 &#40;24&#44;0&#37;&#41; pacientes la TC fue normal&#46; En el an&#225;lisis multivariable&#44; un diagn&#243;stico alternativo no se asoci&#243; de manera significativa con el evento primario &#40;<span class="elsevierStyleItalic">odds ratio</span>&#58; 0&#44;64&#59; IC 95&#37;&#58; 0&#44;30-1&#44;38&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;26&#41;&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Conclusiones</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Entre los pacientes que requieren ingreso por agudizaci&#243;n de EPOC&#44; la TC ofrece un diagn&#243;stico alternativo a la TEP en el 76&#37; de las ocasiones&#46; El tratamiento espec&#237;fico de estas patolog&#237;as no se asocia a un mejor pron&#243;stico durante el seguimiento&#46;</p></span>"
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            "apendice" => "<p id="par0160" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Barcelona</span> &#40;20 patients&#41;&#58; S&#46; Jim&#233;nez &#40;16 patients&#41;&#44; A&#46; Vilas &#40;3 patients&#41;&#44; D&#46; Aisa &#40;1 patient&#41;&#59; <span class="elsevierStyleItalic">Bilbao</span> &#40;113 patients&#41;&#58; E&#46; Tabernero&#47;B&#46; Gonz&#225;lez-Quero &#40;113 patients&#41;&#59; <span class="elsevierStyleItalic">Galdakao</span> &#40;21 patients&#41;&#58; A&#46; Ballaz&#47;L&#46; Chasco &#40;21 patients&#41;&#59; <span class="elsevierStyleItalic">Gran Canaria</span> &#40;35 patients&#41;&#58; G&#46; P&#233;rez-Pe&#241;ate&#47;F&#46; Le&#243;n-Marrero &#40;35 patients&#41;&#59; <span class="elsevierStyleItalic">La Coruna</span> &#40;25 patients&#41;&#58; P&#46; Marcos-Rodriguez&#47;SJ Dominguez-Pazos &#40;25 patients&#41;&#59; <span class="elsevierStyleItalic">Madrid</span> &#40;364 patients&#41;&#58; D&#46; Jimenez&#47;A&#46; Quezada &#40;171 patients&#41;&#44; A&#46; Hernando&#47;JI de Granda-Orive &#40;91 patients&#41;&#44; P&#46; Ruiz-Artacho&#47;F&#46; Beddar-Chaib &#40;56 patients&#41;&#44; MJ Rodr&#237;guez-Nieto&#47;Itziar Fern&#225;ndez-Ormaechea &#40;28 patients&#41;&#44; M&#46; Calle&#47;JL Rodriguez-Hermosa&#47;J&#46; Carriel &#40;12 patients&#41;&#44; A&#46; Mart&#237;nez-Verdasco &#40;2 patients&#41;&#44; J&#46; de Miguel-D&#237;ez &#40;2 patients&#41;&#44; MA Quesada &#40;2 patients&#41;&#59; <span class="elsevierStyleItalic">Santander</span> &#40;17 patients&#41;&#58; &#8211; R&#46; Ag&#252;ero &#40;17 patients&#41;&#59; <span class="elsevierStyleItalic">Seville</span> &#40;112 patients&#41;&#58; L&#46; Jara-Palomares&#47;R&#46; Otero&#47;E&#46; Marquez-Mart&#237;n &#40;112 patients&#41;&#59; <span class="elsevierStyleItalic">Valencia</span> &#40;8 patients&#41;&#58; R&#46; L&#243;pez-Reyes &#40;8 patients&#41;&#59; <span class="elsevierStyleItalic">Vitoria</span> &#40;31 patients&#41;&#58; J&#46;L&#46; Lobo&#47;A&#46; Rivas-Guerrero &#40;31 patients&#41;&#46;</p>"
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            "titulo" => "SLICE Trial Investigators"
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>&#58; COPD&#44; chronic obstructive pulmonary disease&#59; CT&#44; computed tomography&#59; FEV1&#44; forced expiratory volume in 1 second&#59; SatO<span class="elsevierStyleInf">2</span>&#44; blood oxygen&#59; SD&#44; standard deviation&#59; VTE&#44; venous thromboembolism&#46;</p>"
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">No&#46; &#40;&#37;&#41; of patients&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With alternative diagnosis on CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>133&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With normal CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>42&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Age</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#62;</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">75 years</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">64 &#40;48&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19 &#40;45&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;86&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Sex</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Male&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">107 &#40;80&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">31 &#40;73&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;39&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Female&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26 &#40;19&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11 &#40;26&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Active smoker</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38 &#40;28&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10 &#40;23&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;69&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Pack-years&#44; mean &#40;SD&#41;&#44; no&#46;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#46;7 &#40;20&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">71&#46;2 &#40;35&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">COPD exacerbations in the previous 12 months&#44; mean &#40;SD&#41;&#44; no&#46;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;3 &#40;1&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;7 &#40;2&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Post-bronchodilator FEV</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">1</span></span><span class="elsevierStyleItalic">&#44; mean &#40;SD&#41;&#44; &#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#46;4 &#40;18&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">47&#46;2 &#40;20&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Very severe COPD&#58; &#60;30&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;9&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;19&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;42&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Severe COPD&#58; 30&#37; to &#60;50&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">62 &#40;46&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17 &#40;40&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Moderate COPD&#58; 50&#37; to &#60;80&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45 &#40;33&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14 &#40;33&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Mild COPD&#58; &#8805;80&#37; predicted</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;9&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;7&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">VTE risk factors</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Immobilization<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33 &#40;24&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;14&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sleep apnea&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17 &#40;12&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;19&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart failure&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">27 &#40;20&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5 &#40;11&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;26&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cancer<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8 &#40;6&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;69&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>History of VTE&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3 &#40;2&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Surgery<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Symptoms and signs</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dyspnea&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">132 &#40;99&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42 &#40;100&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;75&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart rate<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>100&#47;min&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40 &#40;30&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;38&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Increased sputum volume&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">46 &#40;34&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13 &#40;31&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;71&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Purulent sputum&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11 &#40;8&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;07&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Systolic blood pressure<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>100<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6 &#40;4&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1 &#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SatO<span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>90&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">58 &#40;43&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14 &#40;33&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Clinical probability &#40;Wells scale&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Low&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56 &#40;17&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20 &#40;47&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Intermediate&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">77 &#40;83&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22 &#40;52&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>High&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Lab tests</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinine&#44; mean &#40;SD&#41;&#44; mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;9 &#40;0&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;9 &#40;0&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;71&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinine<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>1&#46;5<span class="elsevierStyleHsp" style=""></span>g&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;3&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;57&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hemoglobin&#44; mean &#40;SD&#41;&#44; mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;9 &#40;2&#46;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&#46;4 &#40;2&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Leukocytes<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span>&#47;L&#44; mean &#40;SD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;4 &#40;10&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10&#46;0 &#40;3&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
          "notaPie" => array:3 [
            0 => array:3 [
              "identificador" => "tblfn0005"
              "etiqueta" => "a"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Non-surgical patients with limited mobility &#40;i&#46;e&#46;&#44; bedridden&#41; for &#8805;4 days in the preceding month&#46;</p>"
            ]
            1 => array:3 [
              "identificador" => "tblfn0010"
              "etiqueta" => "b"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Active or in treatment over the preceding year&#46;</p>"
            ]
            2 => array:3 [
              "identificador" => "tblfn0015"
              "etiqueta" => "c"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0015">In the preceding month&#46;</p>"
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Main characteristics of the 175 patients&#46;</p>"
        ]
      ]
      2 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at2"
            "detalle" => "Table "
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          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>&#58; COPD&#44; chronic obstructive pulmonary disease&#59; CT&#44; computed tomography&#59; SD&#44; standard deviation&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Events&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">All patients&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>175&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With alternative diagnosis on CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>133&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">With normal CT&#40;<span class="elsevierStyleItalic">N</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>42&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Primary event</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Readmission for COPD or all-cause death&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55 &#40;31&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40 &#40;30&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;35&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Secondary events</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Readmission for COPD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">45 &#40;25&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30 &#40;22&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">15 &#40;35&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>All-cause death&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;9&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;12&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Recurrence of non-fatal thrombosis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hospital length of stay mean &#40;SD&#41;&#44; days&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;9 &#40;4&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;9 &#40;4&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;8 &#40;4&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Events during 90-day follow-up&#46;</p>"
        ]
      ]
      3 => array:8 [
        "identificador" => "tbl0015"
        "etiqueta" => "Table 3"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at3"
            "detalle" => "Table "
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          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>&#58; CHF&#44; congestive heart failure&#59; COPD&#44; chronic obstructive pulmonary disease&#59; CT&#44; computed tomography&#59; FEV1&#44; forced expiratory volume in 1 second&#59; OR&#44; odds ratio&#59; SatO<span class="elsevierStyleInf">2</span>&#44; blood oxygen&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Predictor variable&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Unadjusted OR &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Adjusted OR &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>75 years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;88 &#40;0&#46;99&#8211;3&#46;59&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;88 &#40;0&#46;96&#8211;3&#46;68&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Men&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;56 &#40;0&#46;68&#8211;3&#46;57&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Postbronchodilator FEV<span class="elsevierStyleInf">1</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;41 &#40;0&#46;07&#8211;2&#46;39&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
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