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Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia
BACKGROUND: Krasnoyarsk region is a territory with the widespread risk factors for chronic obstructive pulmonary disease (COPD) such as tobacco smoke, air pollution, and occupational exposure. An assessment of COPD prevalence based on medical diagnosis statistics underestimates the true COPD prevale...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562723/ https://www.ncbi.nlm.nih.gov/pubmed/26366070 http://dx.doi.org/10.2147/COPD.S79601 |
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author | Artyukhov, Ivan P Arshukova, Irina L Dobretsova, Elena A Dugina, Tatyana A Shulmin, Andrey V Demko, Irina V |
author_facet | Artyukhov, Ivan P Arshukova, Irina L Dobretsova, Elena A Dugina, Tatyana A Shulmin, Andrey V Demko, Irina V |
author_sort | Artyukhov, Ivan P |
collection | PubMed |
description | BACKGROUND: Krasnoyarsk region is a territory with the widespread risk factors for chronic obstructive pulmonary disease (COPD) such as tobacco smoke, air pollution, and occupational exposure. An assessment of COPD prevalence based on medical diagnosis statistics underestimates the true COPD prevalence. This study aims to evaluate how medical examinations may increase the accuracy of estimates of COPD prevalence. METHODS: True COPD prevalence was estimated as a number of patients with the established disease diagnosis supplemented by the additional disease cases detected during medical examinations per 1,000 inhabitants of the region. Official medical statistics data and the data collected from the Global Alliance against Chronic Respiratory Diseases program 2011 among 15,000 inhabitants of the region aged 18 years and older were analyzed. RESULTS: This study revealed the COPD cases without official medical diagnosis. The true prevalence of COPD is estimated to be two times higher than the prevalence estimates based on medical diagnosis statistics. CONCLUSION: Undiagnosed and untreated cases of COPD result in severe COPD forms as well as addition of severe comorbidities. Because of this, there is an increase in the index of potential years of life lost. Conducting special medical examinations may increase the number of COPD cases detected at the early stages of the disease. This, in turn, may reduce the overall burden of the disease for the population of the region. |
format | Online Article Text |
id | pubmed-4562723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45627232015-09-11 Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia Artyukhov, Ivan P Arshukova, Irina L Dobretsova, Elena A Dugina, Tatyana A Shulmin, Andrey V Demko, Irina V Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: Krasnoyarsk region is a territory with the widespread risk factors for chronic obstructive pulmonary disease (COPD) such as tobacco smoke, air pollution, and occupational exposure. An assessment of COPD prevalence based on medical diagnosis statistics underestimates the true COPD prevalence. This study aims to evaluate how medical examinations may increase the accuracy of estimates of COPD prevalence. METHODS: True COPD prevalence was estimated as a number of patients with the established disease diagnosis supplemented by the additional disease cases detected during medical examinations per 1,000 inhabitants of the region. Official medical statistics data and the data collected from the Global Alliance against Chronic Respiratory Diseases program 2011 among 15,000 inhabitants of the region aged 18 years and older were analyzed. RESULTS: This study revealed the COPD cases without official medical diagnosis. The true prevalence of COPD is estimated to be two times higher than the prevalence estimates based on medical diagnosis statistics. CONCLUSION: Undiagnosed and untreated cases of COPD result in severe COPD forms as well as addition of severe comorbidities. Because of this, there is an increase in the index of potential years of life lost. Conducting special medical examinations may increase the number of COPD cases detected at the early stages of the disease. This, in turn, may reduce the overall burden of the disease for the population of the region. Dove Medical Press 2015-09-02 /pmc/articles/PMC4562723/ /pubmed/26366070 http://dx.doi.org/10.2147/COPD.S79601 Text en © 2015 Artyukhov et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Artyukhov, Ivan P Arshukova, Irina L Dobretsova, Elena A Dugina, Tatyana A Shulmin, Andrey V Demko, Irina V Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia |
title | Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia |
title_full | Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia |
title_fullStr | Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia |
title_full_unstemmed | Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia |
title_short | Epidemiology of chronic obstructive pulmonary disease: a population-based study in Krasnoyarsk region, Russia |
title_sort | epidemiology of chronic obstructive pulmonary disease: a population-based study in krasnoyarsk region, russia |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562723/ https://www.ncbi.nlm.nih.gov/pubmed/26366070 http://dx.doi.org/10.2147/COPD.S79601 |
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