Journal Information
Vol. 57. Issue 2.
Pages 144 (February 2021)
Vol. 57. Issue 2.
Pages 144 (February 2021)
Letter to the Editor
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Chronic Obstructive Pulmonary Disease and Big Data
Sobre la enfermedad pulmonar obstructiva crónica y el big data
Joan B. Sorianoa,b,
Corresponding author

Corresponding author.
, Borja G. Cosíob,c, José Luís López-Camposb,d, Juan José Soler-Cataluñab,e, Julio Ancocheaa,b, en nombre del Comité Científico Big COPData 1
a Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria Princesa (IP), Universidad Autónoma de Madrid, Madrid, Spain
b Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
c Hospital Universitario Son Espases, Instituto de Investigación Sanitaria de Baleares (IdISBa), Palma, Mallorca, Spain
d Unidad Médico-Quirúrgica de Enfermedades Respiratorias, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/Universidad de Sevilla, Sevilla, Spain
e Servicio de Neumología, Hospital Arnau de Vilanova, Valencia, Spain
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To the Editor:

We have read with interest the novel study carried out by Prof. Izquierdo et al.1 Its results in the population with chronic obstructive pulmonary disease (COPD) in Castilla-La Mancha indicate that 10 years after the introduction of the National Strategy for COPD, important gaps unfortunately still exist in the diagnosis and management of these patients.2 Previous clinical audits on the management of COPD in Spain were based on tedious surveys that depended on the varying interest and response of individual researchers.3,4 The use and correct interpretation of big data should now provide almost real-time information on how and who is diagnosed and treated with COPD in Spain.

A huge amount of health information is already being digitalized and stored in administrative databases, but the text of the electronic medical record was considered unanalyzable. Big data now makes it possible to exploit this information, which should improve understanding of care processes and identify bottlenecks in order to correct errors and modify behaviors, thus improving health outcomes. One of the orphan areas of COPD is the study of severe exacerbations and the risk of readmissions, areas of interest due to their impact on disease prognosis at an individual level, on the health system in general, and on the costs of both.

The BIG COPData study,5 led by SEPAR and Savana® ( is currently underway, with the participation of France, Germany, the UK, Canada, USA, U.S., and other countries ( No. NCT04206098). Its objective is to identify factors associated with hospital readmissions in patients with COPD. Big COPData aims to developing a predictive model of readmissions, using Natural Language Processing (NLP) techniques and big data. This new methodology should allow for a better diagnosis of the entire healthcare process and its impact on the lives of COPD patients.

J.L. Izquierdo, D. Morena, Y. Gonzalez, J.M. Paredero, B. Perez, D. Graziani, et al.
Clinical Management of COPD in a Real-World Setting. A Big Data Analysis [Article in English, Spanish].
Arch Bronconeumol., (2020),
J. Ancochea, J.B. Soriano.
La EPOC en España al inicio de una nueva década.
J.L. Lopez-Campos, J.B. Soriano, M. Calle, Project 3E.
Determinants of use of the bronchodilator test in primary and secondary care: results of a national survey in Spain.
Clin Respir J., 10 (2016), pp. 217-222
M. Abad-Arranz, A. Moran-Rodriguez, E. Mascaros Balaguer, C. Quintana Velasco, L. Abad Polo, S. Nunez Palomo, et al.
Community Assessment of COPD Health Care (COACH) study: a clinical audit on primary care performance variability in COPD care.
BMC Med Res Methodol., 18 (2018), pp. 68
Big COPData [Accessed 3 March 2020] Available from: European Union Horizon2020 Identifier: 829654.

The members of the Big COPData Scientific Committee are: Julio Ancochea, Alberto Fernández-Villar, Borja G. Cosio, José Luis Izquierdo, José Luis López-Campos, Marc Miravitlles, José Miguel Rodríguez, Juan José Soler-Cataluña and Joan B. Soriano.

Please cite this article as: Soriano JB, Cosío BG, López-Campos JL, Soler-Cataluña JJ, Ancochea J. Sobre la enfermedad pulmonar obstructiva crónica y el big data. Arch Bronconeumol. 2021;57:144.

Copyright © 2020. SEPAR
Archivos de Bronconeumología
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