Abstract

Doc number: 186

Abstract

Background: Depression is a common comorbidity among patients with Chronic Obstructive Pulmonary Disease (COPD) and has a significant impact on the course of the disease. The aim of this study is to determine association between COPD Assessment Test (CAT) and major depression among clinically stable out-patient COPD subjects with mild hypoxemia.

Methods: Case-control study. Cases were 30 patients with major depression and controls were 30 patients without depression. Major depression was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders criteria by a psychiatric evaluation. All possible predictive variables were included in a multivariate logistic regression model to assess the association between major depression and each independent variable, while controlling for the sleep parameters.

Results: CAT score >20 was associated with major depression (OR 7.88; 95% CI 1.96 - 31.7; p = 0.004).

Conclusion: CAT score >20 was associated with major depression, suggesting CAT as a predictor variable of major depression among COPD patients with mild hypoxemia, and indicating that an additional specific evaluation for the presence of major depression should be done.

Details

Title
COPD Assessment Test (CAT) score as a predictor of major depression among subjects with chronic obstructive pulmonary disease and mild hypoxemia: a case-control study
Author
Silva Júnior, José Laerte R; Conde, Marcus Barreto; de Sousa Corrêa, Krislainy; da Silva, Christina; da Silva Prestes, Leonardo; Rabahi, Marcelo Fouad
Publication year
2014
Publication date
2014
Publisher
Springer Nature B.V.
e-ISSN
14712466
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1643267929
Copyright
© 2014 Silva Júnior et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.