Literature DB >> 26028643

Development of a simple binary response questionnaire to identify airflow obstruction in a smoking population in Argentina.

Miguel A Bergna1, Gabriel R García2, Ramon Alchapar1, Hector Altieri1, Juan C Figueroa Casas1, Luis Larrateguy1, Luis J Nannini1, Daniel Pascansky1, Pedro Grabre1, Gustavo Zabert1, Marc Miravitlles3.   

Abstract

The CODE questionnaire (COPD detection questionnaire), a simple, binary response scale (yes/no), screening questionnaire, was developed for the identification of patients with chronic obstructive pulmonary disease (COPD). We conducted a survey of 468 subjects with a smoking history in 10 public hospitals in Argentina. Patients with a previous diagnosis of COPD, asthma and other respiratory illness were excluded. Items that measured conceptual domains in terms of characteristics of symptoms, smoking history and demographics data were considered. 96 (20.5%) subjects had a diagnosis of COPD according to the 2010 Global Initiative for Chronic Obstructive Lung Disease strategy document. The variables selected for the final questionnaire were based on univariate and multivariate analyses and clinical criteria. Finally, we selected the presence or absence of six variables (age ≥50 years, smoking history ≥30 pack-years, male sex, chronic cough, chronic phlegm and dyspnoea). Of patients without any of these six variables (0 points), none had COPD. The ability of the CODE questionnaire to discriminate between subjects with and without COPD was good (the area under the receiver operating characteristic curve was 0.75). Higher scores were associated with a greater probability of COPD. The CODE questionnaire is a brief, accurate questionnaire that can identify smoking individuals likely to have COPD.
Copyright ©ERS 2015.

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Year:  2015        PMID: 26028643     DOI: 10.1183/16000617.00005214

Source DB:  PubMed          Journal:  Eur Respir Rev        ISSN: 0905-9180


  2 in total

1.  Development and validation of the Salzburg COPD-screening questionnaire (SCSQ): a questionnaire development and validation study.

Authors:  Gertraud Weiss; Ina Steinacher; Bernd Lamprecht; Bernhard Kaiser; Romana Mikes; Lea Sator; Sylvia Hartl; Helga Wagner; M Studnicka
Journal:  NPJ Prim Care Respir Med       Date:  2017-01-26       Impact factor: 2.871

2.  Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study.

Authors:  Theresa M Lee; Karen Tu; Laura L Wing; Andrea S Gershon
Journal:  NPJ Prim Care Respir Med       Date:  2017-05-15       Impact factor: 2.871

  2 in total

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