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array:24 [ "pii" => "S1579212916302749" "issn" => "15792129" "doi" => "10.1016/j.arbr.2016.11.011" "estado" => "S300" "fechaPublicacion" => "2017-09-01" "aid" => "1473" "copyright" => "SEPAR" "copyrightAnyo" => "2016" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Arch Bronconeumol. 2017;53:480-8" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 1915 "formatos" => array:3 [ "EPUB" => 134 "HTML" => 1285 "PDF" => 496 ] ] "Traduccion" => array:1 [ "es" => array:19 [ "pii" => "S0300289616302563" "issn" => "03002896" "doi" => "10.1016/j.arbres.2016.08.017" "estado" => "S300" "fechaPublicacion" => "2017-09-01" "aid" => "1473" "copyright" => "SEPAR" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Arch Bronconeumol. 2017;53:480-8" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 4197 "formatos" => array:3 [ "EPUB" => 142 "HTML" => 3151 "PDF" => 904 ] ] "es" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original</span>" "titulo" => "El papel de la ventilación no invasiva como tratamiento ventilatorio inicial en pacientes con neumonía y sin enfermedad pulmonar obstructiva crónica" "tienePdf" => "es" "tieneTextoCompleto" => "es" "tieneResumen" => array:2 [ 0 => "es" 1 => "en" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "480" "paginaFinal" => "488" ] ] "titulosAlternativos" => array:1 [ "en" => array:1 [ "titulo" => "Role of First-Line Noninvasive Ventilation in Non-COPD Subjects With Pneumonia" ] ] "contieneResumen" => array:2 [ "es" => true "en" => true ] "contieneTextoCompleto" => array:1 [ "es" => true ] "contienePdf" => array:1 [ "es" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0025" "etiqueta" => "Figura B1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 1219 "Ancho" => 1546 "Tamanyo" => 59358 ] ] "descripcion" => array:1 [ "es" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Histograma de la asistencia respiratoria utilizada a lo largo del periodo de estudio (barra negra, grupo de ventilación mecánica invasiva; barra gris, grupo de éxito de la ventilación mecánica no invasiva; y barra blanca, grupo de fracaso de la ventilación mecánica no invasiva). El tiempo se muestra en cuartiles.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Gemma Rialp, Catalina Forteza, Daniel Muñiz, Maria Romero" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Gemma" "apellidos" => "Rialp" ] 1 => array:2 [ "nombre" => "Catalina" "apellidos" => "Forteza" ] 2 => array:2 [ "nombre" => "Daniel" "apellidos" => "Muñiz" ] 3 => array:2 [ "nombre" => "Maria" "apellidos" => "Romero" ] ] ] ] ] "idiomaDefecto" => "es" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S1579212916302749" "doi" => "10.1016/j.arbr.2016.11.011" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1579212916302749?idApp=UINPBA00003Z" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289616302563?idApp=UINPBA00003Z" "url" => "/03002896/0000005300000009/v2_201708291404/S0300289616302563/v2_201708291404/es/main.assets" ] ] "itemSiguiente" => array:19 [ "pii" => "S1579212917302501" "issn" => "15792129" "doi" => "10.1016/j.arbr.2016.12.020" "estado" => "S300" "fechaPublicacion" => "2017-09-01" "aid" => "1552" "copyright" => "SEPAR" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Arch Bronconeumol. 2017;53:489-94" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 1509 "formatos" => array:3 [ "EPUB" => 152 "HTML" => 936 "PDF" => 421 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Non-anesthesiologist-administered Propofol is not Related to an Increase in Transcutaneous CO<span class="elsevierStyleInf">2</span> Pressure During Flexible Bronchoscopy Compared to Guideline-based Sedation: A Randomized Controlled Trial" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "489" "paginaFinal" => "494" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La administración de propofol por parte de no anestesiólogos durante la broncoscopia flexible no se relaciona con aumentos de la presión transcutánea de CO<span class="elsevierStyleInf">2</span>, en comparación con la sedación según las pautas: ensayo controlado aleatorizado" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1058 "Ancho" => 1604 "Tamanyo" => 124464 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Process of inclusion and randomization of patients.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Roberto Mercado-Longoría, Carolina Armeaga-Azoños, Jasel Tapia-Orozco, Julio E. González-Aguirre" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Roberto" "apellidos" => "Mercado-Longoría" ] 1 => array:2 [ "nombre" => "Carolina" "apellidos" => "Armeaga-Azoños" ] 2 => array:2 [ "nombre" => "Jasel" "apellidos" => "Tapia-Orozco" ] 3 => array:2 [ "nombre" => "Julio E." "apellidos" => "González-Aguirre" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S0300289617300297" "doi" => "10.1016/j.arbres.2016.12.018" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289617300297?idApp=UINPBA00003Z" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1579212917302501?idApp=UINPBA00003Z" "url" => "/15792129/0000005300000009/v2_201708291344/S1579212917302501/v2_201708291344/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S1579212917302495" "issn" => "15792129" "doi" => "10.1016/j.arbr.2017.03.018" "estado" => "S300" "fechaPublicacion" => "2017-09-01" "aid" => "1585" "copyright" => "SEPAR" "documento" => "article" "crossmark" => 1 "subdocumento" => "sco" "cita" => "Arch Bronconeumol. 2017;53:477-9" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 1053 "formatos" => array:3 [ "EPUB" => 113 "HTML" => 581 "PDF" => 359 ] ] "en" => array:11 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Editorial</span>" "titulo" => "How can Video-Based Sessions Improve E-Learning of Respiratory Physiology?" "tienePdf" => "en" "tieneTextoCompleto" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "477" "paginaFinal" => "479" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "¿Cómo pueden mejorar las sesiones en vídeo la educación a distancia sobre la fisiología respiratoria?" ] ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2426 "Ancho" => 3489 "Tamanyo" => 233103 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Panel A</span>: The percentage of correct answers to multiple choice questions after watching the videos statistically improved in Question 1 (Q1) and Question 2 (Q2) but not in Question 3 (Q3). Globally, the percentage of total correct answers to multiple choice questions after watching the videos did not statistically improve, although there was a tendency towards improvement. Please refer to the text for more detailed information. *<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05 (McNemar's exact test) comparison between pre and post videos; <span class="elsevierStyleBold">panel B</span>: evaluation of the video-based lectures. The quality of the content/information of each video-based lecture was scored from 0<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>inacceptable to 10<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>excellent, while the pedagogical and teaching quality of each video-based lecture was scored in descending order from 1<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>the best to 8<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>the worst. The quality (black columns) of the content/information of each video-based lecture was above 5. The pedagogical and teaching quality assessment (i.e. grey columns from 1 to 8) is shown: for privacy reason the first/last name and institution of each teacher have been removed and replaced by the order in which the videos were showed to the students. This evaluation revealed that video-based lecture #2 was ranked first in terms of pedagogical and teaching quality. White columns show the percentage (%) of votes that each video obtained from the students. Video-based lecture #2 was voted by 65% of the medical students as being the best. This was corroborated by the highest score the concomitant video-based lecture obtained; <span class="elsevierStyleBold">panel C</span>: questionnaire evaluating the value of the project. At the end of the eight video-based lectures, each medical student was asked to fill in a questionnaire composed of the following questions (Q): Q1: Do you find the video-based lecture helpful in the teaching of physiology?; Q2: Do you think the video-based lectures could eventually replace traditional classroom-based courses?; Q3: Do you find the video-based lecture helpful in the preparation of the National Board and Post-graduate Specialty Examinations for accessing medical postgraduate studies? The figure shows that all the recruited medical students (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>20) found the video-based lectures helpful in the teaching of respiratory physiology. Half of the medical students (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>10) thought that the video-based lectures could eventually replace official and traditional classroom-based courses, while 6 students thought the opposite (video-based lectures could never replace traditional classroom-based courses), and 4 students thought that video-based lectures could complement and eventually help elucidate the content covered by traditional classroom-based courses. Almost all (19) students found the video-based lecture helpful in the preparation of the National Board and Post-graduate Specialty Examinations.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Pierantonio Laveneziana, Alexandre Duguet, Christian Straus" "autores" => array:3 [ 0 => array:2 [ "nombre" => "Pierantonio" "apellidos" => "Laveneziana" ] 1 => array:2 [ "nombre" => "Alexandre" "apellidos" => "Duguet" ] 2 => array:2 [ "nombre" => "Christian" "apellidos" => "Straus" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "en" => array:9 [ "pii" => "S0300289617300662" "doi" => "10.1016/j.arbres.2017.03.002" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289617300662?idApp=UINPBA00003Z" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1579212917302495?idApp=UINPBA00003Z" "url" => "/15792129/0000005300000009/v2_201708291344/S1579212917302495/v2_201708291344/en/main.assets" ] "en" => array:21 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original Article</span>" "titulo" => "Role of First-Line Noninvasive Ventilation in Non-COPD Subjects With Pneumonia" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "480" "paginaFinal" => "488" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Gemma Rialp, Catalina Forteza, Daniel Muñiz, Maria Romero" "autores" => array:4 [ 0 => array:4 [ "nombre" => "Gemma" "apellidos" => "Rialp" "email" => array:1 [ 0 => "grialp@gmail.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Catalina" "apellidos" => "Forteza" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 2 => array:3 [ "nombre" => "Daniel" "apellidos" => "Muñiz" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 3 => array:3 [ "nombre" => "Maria" "apellidos" => "Romero" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Servicio de Cuidados Intensivos, Hospital Son Llàtzer , Palma de Mallorca, Islas Baleares, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Cuidados Intensivos, Hospital Comarcal d’Inca , Inca, Islas Baleares, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Instituto de Investigación Sanitaria de Palma (IDISPA), Fundación de Investigación Sanitaria Illes Balears, Hospital Universitario Son Espases, Palma de Mallorca, Islas Baleares, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El papel de la ventilación no invasiva como tratamiento ventilatorio inicial en pacientes con neumonía y sin enfermedad pulmonar obstructiva crónica" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1192 "Ancho" => 1515 "Tamanyo" => 71350 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier curves of the cumulative probability of survival among intubated subjects according to the ventilatory treatment applied. IMV: invasive mechanical ventilation; NIV: non-invasive mechanical ventilation.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The use of noninvasive mechanical ventilation (NIV) in the treatment of critically ill subjects has clearly increased since the late twentieth century.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">1</span></a> NIV is considered part of the standard of care of subjects with COPD with acute-on-chronic respiratory failure, predominantly hypercapnic COPD exacerbations.<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">2–4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Similarly, favorable effects of NIV have been described in COPD subjects with pneumonia,<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">5–8</span></a> but its role in non-COPD subjects with severe pneumonia is still controversial due to high rates of NIV failure.<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">6,9</span></a> Accordingly, there is some concern about the effects of NIV on outcome in these subjects, as lack of beneficial effects and even worse outcome have been described, especially when NIV fails,<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">1,6,10–16</span></a> and in particular when it delays intubation.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">8</span></a> Several explanations, such as a delay in intubation,<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">8</span></a> a high expired tidal volume during NIV<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">17</span></a> or intubation complications<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">18</span></a> have been proposed to justify the poor outcomes observed when patients need intubation after NIV failure. Furthermore, patients with severe pneumonia often have high rates of comorbidities, such as COPD, heart failure or immunosuppression,<a class="elsevierStyleCrossRefs" href="#bib0295"><span class="elsevierStyleSup">19,20</span></a> and these may have confounding effects when evaluating NIV efficacy. Despite this, NIV is commonly used in emergency departments and intensive care units (ICU) to treat pneumonia to avoid intubation.<a class="elsevierStyleCrossRefs" href="#bib0305"><span class="elsevierStyleSup">21,22</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The primary objective of this study was to assess in real practice the effects of NIV on hospital mortality compared with first-line invasive MV in non-COPD patients with pneumonia that required ventilatory support. Secondary objectives were to evaluate the effects of NIV on length of stay and to identify factors that can predict NIV failure.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Setting and Study Population</span><p id="par0020" class="elsevierStylePara elsevierViewall">Consecutive patients admitted to our Intensive Care Unit from March 2002 to October 2012 with the principal diagnosis of pneumonia were included in the study. Subjects were identified by searching the medical report database of our ICU. Following this, each selected report was reviewed by a medical team that confirmed the diagnosis of pneumonia as the reason of ICU admission. Pneumonia was defined as pulmonary infiltrates on the chest radiograph at ICU admission together with symptoms (cough, sputum purulence, dyspnea or fever) and signs (lung crackles or leukocyte count above 12.0<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span>/L or below 4.0<span class="elsevierStyleHsp" style=""></span>×<span class="elsevierStyleHsp" style=""></span>10<span class="elsevierStyleSup">9</span>/L) of respiratory tract infection.<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">23</span></a> COPD was defined as the presence of a postbronchodilator FEV1/FVC lower than 0.70. Alternatively, a clinical diagnosis of COPD was considered if the patient had a history of dyspnea, chronic cough and/or sputum production, and exposure to risk factors for the disease.<a class="elsevierStyleCrossRef" href="#bib0320"><span class="elsevierStyleSup">24</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">Data were collected by consulting the electronic medical record of patients, where information on medical devices and intravenous pumps were automatically saved (Optum Clinical Solutions<span class="elsevierStyleSup">®</span>).</p><p id="par0030" class="elsevierStylePara elsevierViewall">Patients with pneumonia who did not require ventilatory support were not considered for analysis. After inclusion in the study, subjects were classified in 2 groups according to the first ventilatory treatment applied: invasive MV and NIV. Failure of NIV was defined as the need for pneumonia-related intubation at any time. Early failure of NIV was defined as the need for intubation within the first 48<span class="elsevierStyleHsp" style=""></span>h of application.<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">25</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">All subjects received the usual treatment given in our unit. The need for ventilatory support was decided by the attending intensivist, who chose which ventilatory support to apply (invasive or noninvasive) at his or her own discretion. The interface used in all noninvasive ventilation episodes was an oronasal mask. We followed sedation-analgesia and weaning protocols for all intubated subjects.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Data Collection</span><p id="par0040" class="elsevierStylePara elsevierViewall">We collected the following variables: age, gender, SAPS 3,<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">26</span></a> date of admission and discharge from hospital and ICU, need and timing of NIV or invasive MV, death, the existence of do-not-intubate orders at ICU admission, comorbidities (COPD, diabetes mellitus, congestive heart failure, chronic renal failure, chronic liver failure, alcoholism, immunosuppression or HIV infection), previous hospital admission in the last year, physiological characteristics at admission prior to ventilation (temperature, mean arterial pressure, respiratory rate, heart rate, Glasgow coma score), laboratory blood tests at admission (leukocyte and platelet count, hemoglobin, lactate, urea, creatinine, bilirubin, albumin) and arterial blood gas analysis (pH, PaCO<span class="elsevierStyleInf">2</span>, PaO<span class="elsevierStyleInf">2</span>) at hospital admission, before the start of ventilatory treatment. Other variables were also collected: number of chest X-ray quadrants affected at ICU admission, initial FiO<span class="elsevierStyleInf">2</span>, origin of pneumonia (community or nosocomial), use of vasoactive drugs during more than 1<span class="elsevierStyleHsp" style=""></span>h during the first 24<span class="elsevierStyleHsp" style=""></span>h, positive respiratory culture or positive detection of urinary antigen test by enzyme immunoassay for <span class="elsevierStyleItalic">Streptococcus pneumonia</span> or <span class="elsevierStyleItalic">Legionella pneumophila</span>, adequacy of initial antibiotic regimen. CURB65 score was also calculated.<a class="elsevierStyleCrossRef" href="#bib0335"><span class="elsevierStyleSup">27</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Ethical Aspects</span><p id="par0045" class="elsevierStylePara elsevierViewall">The local institutional review board of Hospital Son Llàtzer (Palma de Mallorca, Spain) approved this historical cohort study in December of 2014 and waived the requirement for consent due to the characteristics of the study design.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical Analysis</span><p id="par0050" class="elsevierStylePara elsevierViewall">Qualitative or categorical variables, expressed as numbers and percentages, were compared using the Chi-square test. Continuous variables were expressed as mean and standard deviation (SD) and compared between groups using the Student-<span class="elsevierStyleItalic">t</span> test for independent data if normality of distribution was assumed with the Kolmogorov–Smirnov test. Quantitative variables, meanwhile, were expressed as median and interquartile range [IQR] and compared using the Mann–Whitney-<span class="elsevierStyleItalic">U</span> test. All analyses were two-tailed, and <span class="elsevierStyleItalic">P</span> values ≤.05 were considered significant.</p><p id="par0055" class="elsevierStylePara elsevierViewall">Kaplan–Meier curves of the cumulative probability of survival or the probability of remaining on mechanical ventilation according to the ventilatory treatment applied were plotted over time. Groups were compared by means of the log-rank test.</p><p id="par0060" class="elsevierStylePara elsevierViewall">For the multivariable analysis, ventilatory support was entered as a single variable with 3 different categories: invasive MV was the reference category with an adjusted odds ratio of 1, and was compared to NIV success and NIV failure.</p><p id="par0065" class="elsevierStylePara elsevierViewall">Considering that associations in unadjusted comparisons in an observational study could be misleading, a propensity score analysis was performed to minimize biased estimates of the initial ventilatory treatment effect. The propensity score in our study was defined, among subjects treated with invasive MV or NIV, as the conditional probability of being intubated at a first attempt given the individual's covariates, and was calculated using a multiple logistic regression model. The predictive capacity of the final model was assessed with a receiver-operating characteristic (ROC) curve and the area under the curve (AUC) was calculated.</p><p id="par0070" class="elsevierStylePara elsevierViewall">Ventilatory support and variables associated with mortality in the univariate analysis were included in a multivariate backward stepwise elimination logistic-regression analysis (<span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">in</span><0.10 and <span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">out</span><0.05). Once the multivariate model was constructed, we added the propensity score as an independent variable to calculate the adjusted odds of hospital mortality. Data was processed with SPSS software package, version 17.0.</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0075" class="elsevierStylePara elsevierViewall">Three hundred ninety-nine subjects with pneumonia were admitted to our ICU during the study period. <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> shows the patient flow chart. One hundred fifty-nine subjects were included in the study: 113 (71%) were connected to invasive MV as initial ventilatory treatment and 46 (29%) received first-line NIV. In 27 of these 46 subjects (59%) the initial NIV attempt failed, and they were ultimately intubated. Annex 1 shows the histogram of the ventilatory treatment applied over the study period.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">An analysis of the first ventilatory treatment applied showed that subjects with first-line invasive MV were younger, more severely ill (SAPS 3, need for vasoactive drugs, lactate levels, Glasgow coma score, albumin and total bilirubin blood levels) and had lower PaCO<span class="elsevierStyleInf">2</span> levels at ICU admission than those with first-line NIV. The first-line invasive MV group also included a lower proportion of chronic renal failure cases, and a higher proportion of immunosuppression cases (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 1</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">Among first-line NIV subjects, those in whom NIV failed had a higher CURB65 score compared with subjects in whom NIV succeeded; likewise, the NIV failure group included a higher proportion of cases requiring vasoactive drugs (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 1</a>). The use of vasoactive drugs was associated with NIV failure with an odds ratio of 7.8 (95% CI, 1.8 to 33.2), <span class="elsevierStyleItalic">P</span>=.006. Subjects with NIV success showed shorter length of ICU and hospital stay compared with subjects with NIV failure; duration of NIV treatment was similar in both groups (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>). Among subjects with NIV failure, 19 presented early failure (70%).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">The delay in the application of the first ventilatory treatment was longer in the first-line invasive MV group compared with first-line NIV group (<span class="elsevierStyleItalic">P</span>=.01), with no significant differences between the NIV failure and NIV success group, or between the first-line invasive MV and NIV failure group (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>).</p><p id="par0095" class="elsevierStylePara elsevierViewall">Compared with subjects treated first with invasive MV, subjects with NIV failure were older and had higher PaCO<span class="elsevierStyleInf">2</span> levels. This group also included a higher proportion of chronic renal failure cases (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 1</a>). In addition, they were intubated later (<span class="elsevierStyleItalic">P</span><.001), had longer duration of invasive MV (<span class="elsevierStyleItalic">P</span>=.007) (<a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>) and had longer length ICU of stay (<span class="elsevierStyleItalic">P</span>=.001) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">There were no significant differences among treatment groups in respect of the clinical characteristics of pneumonia (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 1</a>). Overall, initial antibiotic treatment was in adequate in 7 subjects (4%): 3 subjects in the invasive MV group (<span class="elsevierStyleItalic">Pseudomonas aeruginosa</span>, <span class="elsevierStyleItalic">herpes simplex</span> virus plus <span class="elsevierStyleItalic">influenza</span> H1N1 and <span class="elsevierStyleItalic">herpes simplex</span> virus), 3 in the NIV failure group (<span class="elsevierStyleItalic">Enterococcus faecium</span>, <span class="elsevierStyleItalic">Aspergillus fumigatus</span> and <span class="elsevierStyleItalic">herpes simplex</span> virus), and 1 in the NIV success group (<span class="elsevierStyleItalic">influenza</span> H1N1). Microbiological diagnoses of pneumonia are shown in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 3</a>.</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">Patients with nosocomial acquired pneumonia were mainly men with more comorbidities and lower blood leukocyte count and bilirubin levels than patients with community acquired pneumonia (Annex 2), and needed longer length of stay (mean difference 17 days [95% CI, 28–7 days], <span class="elsevierStyleItalic">P</span>=.009).</p><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Analysis of Mortality</span><p id="par0110" class="elsevierStylePara elsevierViewall">There was no significant difference in hospital mortality between subjects with first-line invasive MV (35%) and subjects with first-line NIV (37%) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>), or between subjects with first-line invasive MV and subjects with NIV failure (56%) in the univariate analysis (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 2</a>) and in Kaplan–Meier curves (<a class="elsevierStyleCrossRef" href="#fig0015">Fig. 3</a>). The NIV failure group, however, had higher hospital mortality than the first-line invasive MV group. In the multivariable analysis with all ventilated subjects (invasive and noninvasive), the variables associated with hospital mortality in the final model were age, SAPS 3, immunosuppression, and NIV failure compared to first-line invasive MV (<a class="elsevierStyleCrossRef" href="#tbl0025">Table 4</a>). When this model was adjusted by the propensity score of receiving first-line invasive MV or NIV as an explicative covariate, the odds of death increased 4.31 fold (95% CI, 1.33–13.94; <span class="elsevierStyleItalic">P</span>=.02) when subjects failed NIV compared with subjects who received first-line invasive MV (<a class="elsevierStyleCrossRef" href="#tbl0025">Table 4</a>). The area under the curve of the propensity score model was 0.82 (95% CI, 0.74–0.89).</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">There were no differences in the delay in intubation between survivors and non-survivors in first-line invasive MV or in the NIV failure group (<a class="elsevierStyleCrossRef" href="#fig0020">Fig. 4</a>), and there was no difference in hospital mortality between subjects with early and late failure of NIV (50% vs 58%, <span class="elsevierStyleItalic">P</span>=.5, respectively). Moreover, there was no association between the delay in intubation and hospital mortality when overall intubated patients were evaluated (OR 1.01 [95% CI, 1.00–1.01], <span class="elsevierStyleItalic">P</span>=.36).</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Discussion</span><p id="par0120" class="elsevierStylePara elsevierViewall">In our study, the application of first-line NIV in non-COPD subjects with pneumonia admitted to the ICU was not associated with a reduction in hospital stay or in hospital mortality compared with first-line invasive MV treatment. Indeed, our rate of NIV failure and need for rescue treatment with invasive MV was high and was associated with poor outcome, longer ICU and hospital stay, longer length of invasive MV and, in the adjusted multivariable analysis, greater hospital mortality compared with first-line invasive MV.</p><p id="par0125" class="elsevierStylePara elsevierViewall">The findings of our study add to existing concerns about the potentially harmful effects of NIV failure in these subjects.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">1,7,12,13,18,28,29</span></a> These results deserve attention, as subjects that did not initially meet criteria for invasive MV, and a priori seemed to have a more favorable prognosis with lower SAPS 3 score, ultimately had a worse outcome than subjects directly intubated.</p><p id="par0130" class="elsevierStylePara elsevierViewall">Since the late nineties, there has been considerable controversy regarding the effects of NIV compared to conventional oxygen therapy in subjects with acute hypoxemic respiratory failure not caused by acute heart failure or COPD exacerbation, particularly in immunocompetent subjects with pneumonia or ARDS. Some studies described beneficial effects in terms of intubation rate<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">6,20</span></a> or mortality<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">20</span></a>; others, in contrast, warned of the potentially harmful effects of NIV failure,<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">1,9,11–13,15,18,21,30–32</span></a> particularly in non-COPD subjects.<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">7,9,11</span></a> These conflicting findings are probably due to differences in study design (clinical trials, surveys and case series), differences in the case mix of subjects recruited, the wide variability of severity of illness,<a class="elsevierStyleCrossRefs" href="#bib0305"><span class="elsevierStyleSup">21,33</span></a> and differences in exclusion criteria.</p><p id="par0135" class="elsevierStylePara elsevierViewall">In order to avoid these pitfalls in our study, we excluded subjects with COPD, with do-not-resuscitate orders and with no need for ventilatory support. The exclusion of COPD and do-not-resuscitate-order subjects strengthened our results, since they are confounding factors in the analysis of the effects of NIV on outcome in subjects with pneumonia.<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">6,34</span></a> The exclusion of subjects who did not require ventilatory support (contrary to randomized studies<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">6,20,32</span></a>) allowed us to compare the effects of the 2 ventilatory treatments when oxygen therapy plus medical treatment was deemed insufficient. In our hospital, moreover, subjects with pneumonia that required ventilatory or vasoactive support are admitted to the ICU, thus eliminating the potential bias of selecting subjects using criteria other than the decision of the attending medical team to apply ventilatory support.</p><p id="par0140" class="elsevierStylePara elsevierViewall">PaCO<span class="elsevierStyleInf">2</span> levels were higher among patients treated with NIV compared with first-line invasive MV. As patients with COPD were excluded from the study, hypercapnia was probably due to acute ventilatory failure, since it was accompanied by mild acidosis and both groups had similar Glasgow Coma Scale scores.</p><p id="par0145" class="elsevierStylePara elsevierViewall">Our NIV failure rate was higher than that described in clinical trials<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">6,20,32,34,35</span></a> but consistent with the rate reported in observational studies.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">1,7,9–11,13</span></a> Our subjects were severely ill: 60% needed vasoactive drugs and overall hospital mortality was 36%, which is consistent with their SAPS 3 mortality prediction score.<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">26</span></a> With regard to comorbidities, the first-line NIV group was older and more prone to chronic renal failure than the first-line invasive MV group. In contrast, SAPS 3 score and immunosuppression rate were higher in the first-line invasive MV group, suggesting that this group was more severely ill.</p><p id="par0150" class="elsevierStylePara elsevierViewall">In spite of the prompt application of first-line ventilatory techniques, both invasive MV and NIV, subjects who failed NIV were intubated with a clinically significant delay compared with first-line invasive MV subjects.</p><p id="par0155" class="elsevierStylePara elsevierViewall">It is important to emphasize that the NIV failure group showed higher hospital mortality compared with the invasive MV group (56% vs 35%) although this difference did not reach statistical significance, probably due to the small sample size. In some studies, delay in intubation when NIV failed was associated with an increase in mortality.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">8</span></a> Persistent respiratory distress during NIV treatment, with increased work of breathing ultimately leading to intubation could explain this poor outcome. Early intubation and sedation may decrease the work of breathing, dyssynchrony and biotrauma.<a class="elsevierStyleCrossRef" href="#bib0380"><span class="elsevierStyleSup">36</span></a> High tidal volumes administered during NIV could also increase ventilator-induced lung injury<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">17</span></a> and mortality.<a class="elsevierStyleCrossRef" href="#bib0385"><span class="elsevierStyleSup">37</span></a> Unfortunately, we did not record physiologic or ventilatory parameters during the NIV period. Moreover, Mosier et al.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">18</span></a> described an increase in intubation complications in subjects with NIV failure compared with those directly intubated, and this could partially explain the increase in mortality observed in subjects with NIV failure. However, in our study no association was found between the delay in intubation and mortality. This is in line with Thille et al.,<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">30</span></a> who observed no differences in intubation time between survivors and non-survivors, with values very close to ours, and contrasts with Carrillo et al.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">8</span></a> Our short delay in intubation, with 70% of subjects intubated within 48<span class="elsevierStyleHsp" style=""></span>h, may explain the lack of association with increased mortality. In addition, we found no inter-group differences in the adequacy of antibiotic treatment that could explain differences in mortality, and causative organisms were not identified in over a third of subjects, as described in other studies.<a class="elsevierStyleCrossRef" href="#bib0390"><span class="elsevierStyleSup">38</span></a> In our study, patients with NIV failure inevitably needed invasive MV, but we do not know whether some patients in the first-line invasive MV group would have succeeded with NIV. We cannot reject the hypothesis that NIV failure was a result of otherwise undetected severity (SAPS 3 or the need of vasoactive drugs), and may not in itself have worsened prognosis.</p><p id="par0160" class="elsevierStylePara elsevierViewall">In clinical practice, one of the first decisions to be made in non-COPD subjects with severe pneumonia is whether to use invasive MV or NIV. In our study, the only variable associated with NIV failure was the use of vasoactive drugs in the first 24<span class="elsevierStyleHsp" style=""></span>h of ICU admission. This is consistent with the findings of several studies.<a class="elsevierStyleCrossRefs" href="#bib0265"><span class="elsevierStyleSup">13,30</span></a> Of note, respiratory parameters associated with severity of pneumonia, such as oxygenation (measured by PaO<span class="elsevierStyleInf">2</span>/FiO<span class="elsevierStyleInf">2</span>), the number of radiographic lung quadrants involved or the existence of bacteremia, did not differ between subjects with successful and failed NIV.</p><p id="par0165" class="elsevierStylePara elsevierViewall">Primary among the limitations of our study is its single-center retrospective design, which compels us to view our results with caution. Second, no protocol was in place to determine the need for ventilatory support or the type of support given, and the decision was taken at the discretion of the attending medical team. Third, we did not record the chronology of administration of the initial non-ventilatory medical treatment given, such as antibiotics or fluid replacement. Fourth, time-dependent changes in treatment policies that could have modified patient outcome over the study period, such as implementation of the Surviving Sepsis Campaign,<a class="elsevierStyleCrossRef" href="#bib0395"><span class="elsevierStyleSup">39</span></a> were not taken into account. Fifth, the heterogeneity of the different baseline characteristics of patients in the ventilatory groups could have led to a potentially misleading interpretation of our results. To minimize these important shortcomings, we adjusted our analysis of mortality with the propensity score that defined the probability of being intubated in a first attempt given the individual's covariates, although the method used may not fully overcome bias in the allocation of treatment.<a class="elsevierStyleCrossRef" href="#bib0400"><span class="elsevierStyleSup">40</span></a></p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Conclusions</span><p id="par0170" class="elsevierStylePara elsevierViewall">In non-COPD subjects with pneumonia and need for ventilatory support, those treated with first-line NIV did not have better outcome than subjects treated initially with invasive MV. Failure of NIV was associated with longer duration of MV, longer ICU stay and with an increase in hospital mortality compared with subjects with first-line invasive MV. The need for vasoactive drugs discourages the application of first-line NIV owing to the high rate of NIV failure observed.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Authorship</span><p id="par0175" class="elsevierStylePara elsevierViewall">Literature research: Gemma Rialp, Daniel Muñiz, Maria Romero.</p><p id="par0180" class="elsevierStylePara elsevierViewall">Data collection: Gemma Rialp, Catalina Forteza, Daniel Muñiz, Maria Romero.</p><p id="par0185" class="elsevierStylePara elsevierViewall">Study design: Gemma Rialp.</p><p id="par0190" class="elsevierStylePara elsevierViewall">Data analysis: Gemma Rialp.</p><p id="par0195" class="elsevierStylePara elsevierViewall">Manuscript preparation: Gemma Rialp, Catalina Forteza.</p><p id="par0200" class="elsevierStylePara elsevierViewall">Review of manuscript: Daniel Muñiz, Maria Romero.</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Funding</span><p id="par0205" class="elsevierStylePara elsevierViewall">No funding was received for this study.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conflict of Interest</span><p id="par0210" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres888157" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec874128" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres888156" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec874127" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Setting and Study Population" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Data Collection" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Ethical Aspects" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical Analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0035" "titulo" => "Results" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Analysis of Mortality" ] ] ] 7 => array:2 [ "identificador" => "sec0045" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0050" "titulo" => "Conclusions" ] 9 => array:2 [ "identificador" => "sec0055" "titulo" => "Authorship" ] 10 => array:2 [ "identificador" => "sec0060" "titulo" => "Funding" ] 11 => array:2 [ "identificador" => "sec0065" "titulo" => "Conflict of Interest" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2016-05-23" "fechaAceptado" => "2016-08-18" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec874128" "palabras" => array:5 [ 0 => "Pneumonia" 1 => "Noninvasive ventilation" 2 => "Mortality" 3 => "Propensity score" 4 => "Intensive care" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec874127" "palabras" => array:5 [ 0 => "Neumonía" 1 => "Ventilación no invasiva" 2 => "Mortalidad" 3 => "Índice de propensión" 4 => "Cuidados intensivos" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The use of noninvasive ventilation (NIV) in non-COPD patients with pneumonia is controversial due to its high rate of failure and the potentially harmful effects when NIV fails. The purpose of the study was to evaluate outcomes of the first ventilatory treatment applied, NIV or invasive mechanical ventilation (MV), and to identify predictors of NIV failure.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Historical cohort study of 159 non-COPD patients with pneumonia admitted to the ICU with ventilatory support. Subjects were divided into 2 groups: invasive MV or NIV. Univariate and multivariate analyses with demographic and clinical data were performed. Analysis of mortality was adjusted for the propensity of receiving first-line invasive MV.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">One hundred and thirteen subjects received first-line invasive MV and 46 received first-line NIV, of which 27 needed intubation. Hospital mortality was 35%, 37% and 56%, respectively, with no significant differences among groups. In the propensity-adjusted analysis (expressed as OR [95% CI]), hospital mortality was associated with age (1.05 [1.02–1.08]), SAPS3 (1.03 [1.00–1.07]), immunosuppression (2.52 [1.02–6.27]) and NIV failure compared to first-line invasive MV (4.3 [1.33–13.94]). Compared with invasive MV, NIV failure delayed intubation (<span class="elsevierStyleItalic">P</span>=.004), and prolonged the length of invasive MV (<span class="elsevierStyleItalic">P</span>=.007) and ICU stay (<span class="elsevierStyleItalic">P</span>=.001). NIV failure was associated with need for vasoactive drugs (OR 7.8 [95% CI, 1.8–33.2], <span class="elsevierStyleItalic">P</span>=.006).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">In non-COPD subjects with pneumonia, first-line NIV was not associated with better outcome compared with first-line invasive MV. NIV failure was associated with longer duration of MV and hospital stay, and with increased hospital mortality. The use of vasoactive drugs predicted NIV failure.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducción</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">El uso de ventilación no invasiva (VNI) en pacientes sin EPOC con neumonía es motivo de controversia, debido a la elevada tasa de fracasos y a los efectos potencialmente nocivos de dicho fracaso. La finalidad de este estudio fue evaluar la evolución de los pacientes en función de cuál había sido el primer tipo de soporte ventilatorio aplicado, VNI o ventilación mecánica (VM) invasiva, e identificar factores de predicción del fracaso de la VNI.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio de una cohorte histórica de 159 pacientes sin EPOC con neumonía ingresados en la UCI que recibieron soporte ventilatorio. Los pacientes se clasificaron en dos grupos, VM invasiva y VNI. Se efectuaron análisis univariantes y multivariantes de los datos demográficos y clínicos. El análisis de mortalidad se ajustó por índice de propensión a ser conectado a VM invasiva como tratamiento inicial.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Ciento trece pacientes fueron conectados a VM invasiva como tratamiento ventilatorio inicial y 46 a VNI, 27 de los cuales precisaron intubación. La mortalidad hospitalaria fue del 35, 37 y 56%, respectivamente, y no se observaron diferencias significativas entre grupos. En el análisis ajustado a la propensión (expresada mediante (OR [IC 95%]), la mortalidad hospitalaria se asoció con la edad (1,05 [1,02 - 1,08]), la puntuación SAPS3 (1,03 [1,00 - 1,07]), la inmunosupresión (2,52 [1,02 - 6,27]) y el fracaso de la VNI, en comparación con la VM invasiva de primera línea (4,3 [1,33 - 13,94]). En comparación con la VM invasiva, el fracaso de la VNI retrasó la intubación (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,004), prolongó la duración de la VM invasiva (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,007) y la estancia en la UCI (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,001). El fracaso de la VNI se asoció con la necesidad de recibir fármacos vasoactivos (OR 7,8 [IC 95%, 1,8 - 33,2], <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,006).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">En pacientes sin EPOC con neumonía, la VNI como tratamiento ventilatorio inicial no se asoció con mejor evolución, en comparación con la VM invasiva de primera línea. El fracaso de la VNI se relacionó con duraciones más prolongadas de la MV y la estancia hospitalaria, y con mayor mortalidad hospitalaria. El uso de fármacos vasoactivos fue predictivo del fracaso de la VNI.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0055">Please cite this article as: Rialp G, Forteza C, Muñiz D, Romero M. El papel de la ventilación no invasiva como tratamiento ventilatorio inicial en pacientes con neumonía y sin enfermedad pulmonar obstructiva crónica. Arch Bronconeumol. 2017;53:480–488.</p>" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:2 [ 0 => array:3 [ "apendice" => "<p id="par0220" class="elsevierStylePara elsevierViewall"></p><elsevierMultimedia ident="fig0025"></elsevierMultimedia>" "etiqueta" => "Annex 1" "identificador" => "sec0075" ] 1 => array:4 [ "apendice" => "<p id="par0215" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></p>" "etiqueta" => "Annex 2" "titulo" => "Demographic and clinical characteristics of patients according to the origin of the pneumonia." "identificador" => "sec0070" ] ] ] ] "multimedia" => array:10 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1240 "Ancho" => 1503 "Tamanyo" => 110899 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Flow chart of subjects. DNIO: do-not-intubate-orders; MV: mechanical ventilation; NIV: non-invasive mechanical ventilation.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1210 "Ancho" => 1525 "Tamanyo" => 86501 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier curve of the probability of remaining on mechanical ventilation over time among intubated subjects according to the ventilatory treatment applied. IMV: invasive mechanical ventilation; NIV: non-invasive mechanical ventilation.</p>" ] ] 2 => array:7 [ "identificador" => "fig0015" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 1192 "Ancho" => 1515 "Tamanyo" => 71350 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Kaplan–Meier curves of the cumulative probability of survival among intubated subjects according to the ventilatory treatment applied. IMV: invasive mechanical ventilation; NIV: non-invasive mechanical ventilation.</p>" ] ] 3 => array:7 [ "identificador" => "fig0020" "etiqueta" => "Fig. 4" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr4.jpeg" "Alto" => 1572 "Ancho" => 1413 "Tamanyo" => 111449 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Delay in intubation in survivors (dark gray boxes) and non-survivors (light gray boxes) according to the first ventilatory treatment applied. Results are shown as box plot (median and interquartile range). IMV: invasive mechanical ventilation; NIV: non-invasive mechanical ventilation.</p>" ] ] 4 => array:7 [ "identificador" => "fig0025" "etiqueta" => "Fig. B1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr5.jpeg" "Alto" => 1220 "Ancho" => 1547 "Tamanyo" => 57312 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Histogram of the ventilatory treatment applied over the study period (black bar, invasive mechanical ventilation group; gray bar, noninvasive mechanical ventilation success group; and white bar, noninvasive ventilation failure group). Time is shown in quartiles.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">c/n: community acquired/nosocomial acquired; HIV: human immunodeficiency virus; Hosp: hospital; MV: mechanical ventilation; NIV: noninvasive mechanical ventilation; SD: standard deviation.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Noninvasive MV</th><th class="td" title="table-head " align="left" valign="top" scope="col">Invasive MV (<span class="elsevierStyleItalic">n</span>=113) \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Overall (<span class="elsevierStyleItalic">n</span>=46) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">NIV Success (<span class="elsevierStyleItalic">n</span>=19) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">NIV Failure (<span class="elsevierStyleItalic">n</span>=27) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Age (yr), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">68.6 (16.1)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">60.6 (16.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">67.8 (17.2)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">60.6 (16.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Male, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28 (61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">69 (61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">17 (63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">69 (61) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Comorbidities</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic heart failure, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic liver disease, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">17 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">17 (15) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic renal failure, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10 (22)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (22)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Diabetes mellitus, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">25 (22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">25 (22) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Alcoholism, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">22 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">22 (20) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Immunosuppression, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">8 (17)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">40 (35) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5 (19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">40 (35) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HIV infection, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13 (12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13 (12) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>More than 1 comorbidity, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">9 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (20) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hosp. admission <1 year, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">18 (39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">35 (31) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">12 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">35 (31) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">SAPS 3, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">57.0 (10.6)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">63.3 (14.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">57.3 (10.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">63.3 (14.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">CURB65, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.8 (0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.7 (1.0)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.0 (0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.7 (1.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Temperature (°C), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36.8 (0.9)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">37.2 (1.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36.8 (0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">37.2 (1.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">MAP (mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">82 (17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">79 (19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">80 (19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">79 (19) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Vasopressors in first 24</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">h, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">19 (41)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">76 (67)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">16 (59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">76 (67) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Lactate (mmol/L), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.7 (1.5)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.6 (2.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.7 (1.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.6 (2.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">GCS, points mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14.8 (0.4)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.3 (3.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14.8 (0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.3 (3.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Respiratory rate (bpm), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">30 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29 (6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">28 (10) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">pH, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.32 (0.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.35 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.33 (0.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">7.35 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">PaCO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">51 (18)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">42 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">50 (17)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">42 (14) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">PaO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">71 (21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">86 (52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">73 (24) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">86 (52) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">PaO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">/FiO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">119 (62) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">149 (106) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">105 (45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">149 (106) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Leukocyte count (×10</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">9</span></span><span class="elsevierStyleItalic">/L), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14.2 (7.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.1 (8.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">14.6 (8.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13.1 (8.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Platelet count (×10</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">9</span></span><span class="elsevierStyleItalic">/L), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">257 (153)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">207 (128) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">274 (170)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">207 (128) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hemoglobin (g/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11.2 (1.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10.9 (2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">11.1 (1.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10.9 (2.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Creatinine (mg/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.48 (0.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.44 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.53 (0.93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.44 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Albumin (g/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.6 (0.6)<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.4 (0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.6 (0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.4 (0.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Total bilirubin (mg/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.82 (0.56)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.5 (2.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.74 (0.38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.5 (2.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Characteristics of pneumonia</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Origin pneumonia c/n, <span class="elsevierStyleItalic">n</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">36/10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">84/29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">20/7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">84/29 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Number Rx quadrants, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.2 (1.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.2 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.3 (1.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.2 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Bacteremia, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">23 (20) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adequacy of antibiotics, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">42 (91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">110 (97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">24 (89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">110 (97) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1501012.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0005"><span class="elsevierStyleItalic">P</span><.01.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "†" "nota" => "<p class="elsevierStyleNotepara" id="npar0010"><span class="elsevierStyleItalic">P</span><.05.</p> <p class="elsevierStyleNotepara" id="npar0015">Symbols in overall NIV column indicate differences between Overall NIV and Invasive MV groups.</p> <p class="elsevierStyleNotepara" id="npar0020">Symbols in NIV success column indicate differences between NIV success and NIV failure groups.</p> <p class="elsevierStyleNotepara" id="npar0025">Symbols in NIV failure column indicate differences between NIV failure and Invasive MV groups.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Demographic and Clinical Characteristics of All Non-COPD Patients With Pneumonia According to the Ventilatory Support Applied.</p>" ] ] 6 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">ICU: intensive care unit; LOS: length of stay; MV: mechanical ventilation; NIV: noninvasive ventilation.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Noninvasive MV</th><th class="td" title="table-head " align="left" valign="top" scope="col">Invasive MV (<span class="elsevierStyleItalic">n</span>=113) \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Overall (<span class="elsevierStyleItalic">n</span>=46) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">NIV Success (<span class="elsevierStyleItalic">n</span>=19) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">NIV Failure (<span class="elsevierStyleItalic">n</span>=27) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Delay in initial ventilatory treatment (h)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.83 [0.1–4.4]<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">†</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.73 [0.1–2.6] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.8 [−0.1–5.5] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.7 [0.2–19.4] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Delay in intubation (h)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22.1 [3.2–60.3]<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.7 [0.2–19.4] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Days on invasive MV (d)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.3 [6.7–29.0]<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.3 [3.2–14.3] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hours on noninvasive MV (h)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.0 [2–23.8] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.8 [2.4–28] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">ICU LOS (d)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.6 [3.6–21.9] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.4 [2.2–5.6]<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18.1 [12.1–35.0]<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.2 [5.1–19.6] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ICU LOS in survivors (d) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.3 [3.2–14.9] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.4 [2.1–5.6]<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.3 [11.4–31.7] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.2 [6.2–18.5] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ICU LOS in non survivors (d) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18.1 [9.7–44.7] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.1 [1.6–3.4] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.0 [12.1–45.3] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.5 [2.0–22.3] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hospital LOS (d)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.3 [13.1–36.3] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15.1 [9.0–19.4]<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32.4 [18.1–45.3] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19.5 [11.7–38.1] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hospital LOS in survivors (d) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.6 [13.9–34.3] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15.3 [9.3–20.0]<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">33.3 [24.1–48.4] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24.6 [15.4–45.7] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hospital LOS in non survivors (d) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.0 [12.1–44.7] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.1 [2.4–11.8] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29.4 [12.2–45.3] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.4 [6.1–30.1] \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">ICU mortality, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (24) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0)<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35 (31) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hospital mortality, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (11)<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">*</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40 (35) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1501010.png" ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "*" "nota" => "<p class="elsevierStyleNotepara" id="npar0030"><span class="elsevierStyleItalic">P</span><.01.</p>" ] 1 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "†" "nota" => "<p class="elsevierStyleNotepara" id="npar0035"><span class="elsevierStyleItalic">P</span><.05.</p> <p class="elsevierStyleNotepara" id="npar0040">Symbols in Overall NIV column indicate differences between Overall NIV and Invasive MV groups.</p> <p class="elsevierStyleNotepara" id="npar0045">Symbols in NIV success column indicate differences between NIV success and NIV failure groups.</p> <p class="elsevierStyleNotepara" id="npar0050">Symbols in NIV failure column indicate differences between NIV failure and Invasive MV groups.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Outcome Characteristics of the Different Ventilatory Groups. Continuous Variables are Shown as Median and Interquartile Range.</p>" ] ] 7 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Overall Population<br>(<span class="elsevierStyleItalic">n</span>=159) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Invasive MV Group<br>(<span class="elsevierStyleItalic">n</span>=113) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Noninvasive MV Success<br>(<span class="elsevierStyleItalic">n</span>=19) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Noninvasive MV Failure<br>(<span class="elsevierStyleItalic">n</span>=27) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Unknown, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">53 (33) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36 (32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (30) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Streptococcus pneumoniae</span>, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 (23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 (23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (26) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Viruses, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (10.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Gram-negative bacteria, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Gram-positive bacteria, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (11) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Bronchoaspiration, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Atypical pneumonia, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Fungal, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Pneumocystis jirovecii</span>, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Polymicrobial, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Others, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1501008.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0125" class="elsevierStyleSimplePara elsevierViewall">Microbiological Diagnosis of Pneumonia of All Patients.</p>" ] ] 8 => array:8 [ "identificador" => "tbl0025" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Unadjusted Model</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Adjusted Model</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95% CI) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95% CI) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Age (yr)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.05 (1.02 to 1.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.05 (1.02 to 1.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.003 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">SAPS 3</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 (1.01 to 1.07) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.02 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.03 (1.00 to 1.07) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Immunosuppression</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.89 (1.25 to 6.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.52 (1.02 to 6.27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Ventilatory support</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Noninvasive MV success vs invasive MV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.23 (0.05 to 1.15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.07 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.46 (0.08 to 2.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.39 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Noninvasive MV failure vs invasive MV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.90 (1.06 to 7.95) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.31 (1.33 to 13.94) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1501011.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0130" class="elsevierStyleSimplePara elsevierViewall">Logistic Regression Analysis of Hospital Mortality With All Ventilated Subjects. Ventilatory Support Has Been Categorized Considering First-Line Invasive MV as Reference. Data are Shown Before and After the Adjustment by the Propensity Score of Receiving Invasive MV as a First Ventilatory Treatment.</p>" ] ] 9 => array:5 [ "identificador" => "tbl0005" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => false "mostrarDisplay" => true "tabla" => array:2 [ "leyenda" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">HIV: human immunodeficiency virus; SD: standard deviation.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Community Acquired<br>(<span class="elsevierStyleItalic">n</span>=120) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Nosocomial Acquired<br>(<span class="elsevierStyleItalic">n</span>=39) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Age (yr), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62 (17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.45 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Male, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">66 (55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 (80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.006 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Comorbidities</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic heart failure, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (14) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.53 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic hepatopathy, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.11 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic renal failure, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.71 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Diabetes mellitus, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 (26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Alcoholism, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 (18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.95 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Immunosuppression, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 (25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 (46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>HIV infection, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>More than 1 comorbidity, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75 (63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 (67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.64 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hosp. admission <1 year, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34 (28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">SAPS 3, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62 (11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.93 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Temperature (°C), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.0 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.0 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.99 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">MAP (mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">81 (19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.58 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Vasopressors in first 24<span class="elsevierStyleHsp" style=""></span>h, n (%)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">74 (62) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 (54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.39 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Lactate (mmol/L), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.5 (2.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.9 (1.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">GCS, points mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.79 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Respiratory rate (bpm), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 (9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.69 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">pH, mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.33 (0.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.36 (0.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.14 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">PaCO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45 (16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44 (15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.91 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">PaO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84 (52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75 (18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.35 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">PaO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">/FiO</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">(mm Hg), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">148 (105) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">118 (61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.14 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Leukocyte count (×10</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">9</span></span><span class="elsevierStyleItalic">/L), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.2 (8.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.0 (6.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Platelet count (×10</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">9</span></span><span class="elsevierStyleItalic">/L), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">215 (132) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">240 (151) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.32 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hemoglobin (g/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.2 (2.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.2 (2.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Creatinine (mg/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.4 (0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5 (1.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.96 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Albumin (g/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.5 (0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.3 (0.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Total Bilirubin (mg/dL), mean (SD)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.4 (2.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8 (0.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Characteristics of pneumonia</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Number Rx quadrants, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.2 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.3 (1.0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.39 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Bacteremia, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 (18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.96 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Adequacy of antibiotics, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">116 (97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36 (92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">.25 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1501009.png" ] ] ] ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:40 [ 0 => array:3 [ "identificador" => "bib0205" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Noninvasive mechanical ventilation in acute respiratory failure: trends in use and outcomes" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "D. 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Year/Month | Html | Total | |
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2024 November | 12 | 2 | 14 |
2024 October | 62 | 21 | 83 |
2024 September | 57 | 17 | 74 |
2024 August | 79 | 36 | 115 |
2024 July | 60 | 21 | 81 |
2024 June | 75 | 36 | 111 |
2024 May | 171 | 36 | 207 |
2024 April | 66 | 27 | 93 |
2024 March | 48 | 22 | 70 |
2024 February | 39 | 17 | 56 |
2023 June | 1 | 1 | 2 |
2023 March | 10 | 4 | 14 |
2023 February | 56 | 16 | 72 |
2023 January | 38 | 16 | 54 |
2022 December | 78 | 21 | 99 |
2022 November | 94 | 27 | 121 |
2022 October | 88 | 38 | 126 |
2022 September | 38 | 35 | 73 |
2022 August | 46 | 47 | 93 |
2022 July | 51 | 47 | 98 |
2022 June | 49 | 51 | 100 |
2022 May | 47 | 48 | 95 |
2022 April | 45 | 44 | 89 |
2022 March | 44 | 41 | 85 |
2022 February | 39 | 38 | 77 |
2022 January | 58 | 35 | 93 |
2021 December | 44 | 38 | 82 |
2021 November | 53 | 43 | 96 |
2021 October | 105 | 54 | 159 |
2021 September | 65 | 50 | 115 |
2021 August | 55 | 39 | 94 |
2021 July | 75 | 17 | 92 |
2021 June | 68 | 42 | 110 |
2021 May | 91 | 49 | 140 |
2021 April | 229 | 127 | 356 |
2021 March | 89 | 21 | 110 |
2021 February | 67 | 33 | 100 |
2021 January | 75 | 28 | 103 |
2020 December | 51 | 28 | 79 |
2020 November | 58 | 15 | 73 |
2020 October | 52 | 28 | 80 |
2020 September | 57 | 18 | 75 |
2020 August | 69 | 21 | 90 |
2020 July | 69 | 32 | 101 |
2020 June | 81 | 8 | 89 |
2020 May | 86 | 20 | 106 |
2020 April | 89 | 29 | 118 |
2020 March | 80 | 15 | 95 |
2020 February | 91 | 18 | 109 |
2020 January | 57 | 21 | 78 |
2019 December | 58 | 25 | 83 |
2019 November | 63 | 32 | 95 |
2019 October | 33 | 30 | 63 |
2019 September | 55 | 13 | 68 |
2019 August | 42 | 17 | 59 |
2019 July | 43 | 14 | 57 |
2019 June | 33 | 24 | 57 |
2019 May | 41 | 16 | 57 |
2019 April | 45 | 41 | 86 |
2019 March | 41 | 24 | 65 |
2019 February | 46 | 32 | 78 |
2019 January | 40 | 28 | 68 |
2018 December | 59 | 29 | 88 |
2018 November | 121 | 29 | 150 |
2018 October | 113 | 31 | 144 |
2018 September | 75 | 15 | 90 |
2018 May | 15 | 1 | 16 |
2018 April | 29 | 3 | 32 |
2018 March | 30 | 9 | 39 |
2018 February | 49 | 16 | 65 |
2018 January | 59 | 10 | 69 |
2017 December | 79 | 23 | 102 |
2017 April | 0 | 1 | 1 |