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An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi

BACKGROUND: Different definitions used for chronic obstructive pulmonary disease (COPD) preclude getting reliable prevalence estimates. Study objective was to find the prevalence of COPD as per standard Global Initiative for Chronic Obstructive Lung Disease definition, risk factors associated, and t...

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Autores principales: Sinha, B, Vibha, Singla, R, Chowdhury, R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394814/
https://www.ncbi.nlm.nih.gov/pubmed/27853040
http://dx.doi.org/10.4103/0022-3859.194200
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author Sinha, B
Vibha,
Singla, R
Chowdhury, R
author_facet Sinha, B
Vibha,
Singla, R
Chowdhury, R
author_sort Sinha, B
collection PubMed
description BACKGROUND: Different definitions used for chronic obstructive pulmonary disease (COPD) preclude getting reliable prevalence estimates. Study objective was to find the prevalence of COPD as per standard Global Initiative for Chronic Obstructive Lung Disease definition, risk factors associated, and treatment seeking in adults >30 years. METHODOLOGY: Community-based cross-sectional study was conducted in Delhi, among 1200 adults, selected by systematic random sampling. Pretested questionnaire was used to interview all subjects and screen for symptoms of COPD. Postbronchodilator spirometry was done to confirm COPD. STATISTICAL ANALYSIS: Adjusted odds ratio (aOR) was calculated by multivariable analysis to examine the association of risk factors with COPD. Receiver operating characteristic (ROC) curve was developed to assess predictability. Results: The prevalence of COPD was 10.1% (95% confidence interval [CI] 8.5, 11.9%). Tobacco smoking was the strongest risk factor associated (aOR 9.48; 95% CI 4.22, 14.13) followed by environmental tobacco smoke (ETS), occupational exposure, age, and biomass fuel. Each pack-year of smoking increased 15% risk of COPD. Ex-smokers had 63% lesser risk compared to current smokers. Clinical allergy seems to preclude COPD (aOR 0.06; 95% CI 0.02, 0.37). ROC analysis showed 94.38% of the COPD variability can be assessed by this model (sensitivity 57.4%; positive predictive value 93.3%). Only 48% patients were on treatment. Treatment continuation was impeded by its cost. CONCLUSION: COPD prevalence in the region of Delhi, India, is high, and our case-finding population study identified a high rate of patients who were not on any treatment. Our study adds to creating awareness on the importance of smoking cessation, early diagnosis of COPD, and the need for regular treatment.
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spelling pubmed-53948142017-05-09 An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi Sinha, B Vibha, Singla, R Chowdhury, R J Postgrad Med Original Article BACKGROUND: Different definitions used for chronic obstructive pulmonary disease (COPD) preclude getting reliable prevalence estimates. Study objective was to find the prevalence of COPD as per standard Global Initiative for Chronic Obstructive Lung Disease definition, risk factors associated, and treatment seeking in adults >30 years. METHODOLOGY: Community-based cross-sectional study was conducted in Delhi, among 1200 adults, selected by systematic random sampling. Pretested questionnaire was used to interview all subjects and screen for symptoms of COPD. Postbronchodilator spirometry was done to confirm COPD. STATISTICAL ANALYSIS: Adjusted odds ratio (aOR) was calculated by multivariable analysis to examine the association of risk factors with COPD. Receiver operating characteristic (ROC) curve was developed to assess predictability. Results: The prevalence of COPD was 10.1% (95% confidence interval [CI] 8.5, 11.9%). Tobacco smoking was the strongest risk factor associated (aOR 9.48; 95% CI 4.22, 14.13) followed by environmental tobacco smoke (ETS), occupational exposure, age, and biomass fuel. Each pack-year of smoking increased 15% risk of COPD. Ex-smokers had 63% lesser risk compared to current smokers. Clinical allergy seems to preclude COPD (aOR 0.06; 95% CI 0.02, 0.37). ROC analysis showed 94.38% of the COPD variability can be assessed by this model (sensitivity 57.4%; positive predictive value 93.3%). Only 48% patients were on treatment. Treatment continuation was impeded by its cost. CONCLUSION: COPD prevalence in the region of Delhi, India, is high, and our case-finding population study identified a high rate of patients who were not on any treatment. Our study adds to creating awareness on the importance of smoking cessation, early diagnosis of COPD, and the need for regular treatment. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5394814/ /pubmed/27853040 http://dx.doi.org/10.4103/0022-3859.194200 Text en Copyright: © 2017 Journal of Postgraduate Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution NonCommercial ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sinha, B
Vibha,
Singla, R
Chowdhury, R
An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi
title An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi
title_full An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi
title_fullStr An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi
title_full_unstemmed An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi
title_short An epidemiological profile of chronic obstructive pulmonary disease: A community-based study in Delhi
title_sort epidemiological profile of chronic obstructive pulmonary disease: a community-based study in delhi
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394814/
https://www.ncbi.nlm.nih.gov/pubmed/27853040
http://dx.doi.org/10.4103/0022-3859.194200
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