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      The prevalence, burden and risk factors associated with chronic obstructive pulmonary disease in Commonwealth of Independent States (Ukraine, Kazakhstan and Azerbaijan): results of the CORE study

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          Translated abstract

          Background

          In the Commonwealth of Independent States (CIS) countries the epidemiology of chronic obstructive pulmonary disease (COPD) is poorly characterized. The objective of this analysis is to present the prevalence, burden and risk factors associated with COPD in three CIS countries as part of the CORE study (Chronic Obstructive Respiratory Diseases), the rationale and design of which have been described elsewhere.

          Methods

          A total of 2842 adults (≥18 years) were recruited (964 in Ukraine, Kiev, 945 in Kazakhstan, Almaty and 933 in Azerbaijan, Baku) between 2013 and 2015 during household visits. Two-step cluster randomization was used for the sampling strategy. All respondents were interviewed about respiratory symptoms, smoking status and medical history, and underwent spirometry with bronchodilator. COPD was defined as (i) “previously diagnosed” when the respondent reported that he/she had previously been diagnosed with COPD by a doctor, (ii) “diagnosed by spirometry” using the GOLD criteria (2011) based on spirometry conducted during the study (FEV 1/FVC <  0.70), and (iii) “firstly diagnosed by spirometry”, when the patient had received the COPD diagnosis for the first time based on the spirometry results obtained in this study.

          Results

          The prevalence of “previously diagnosed” COPD was 10.4, 13.8 and 4.3 per 1000, and the prevalence of COPD “diagnosed by spirometry” was 31.9, 66.7 and 37.5 per 1000 in Ukraine, Kazakhstan, and Azerbaijan, respectively. Almost all respondents with COPD were diagnosed for the first time during this study. A statistically significant relationship was shown between smoking and COPD in Kazakhstan (odds ratio, OR: 3.75) and Azerbaijan (OR: 2.80); BMI in Ukraine (OR: 2.10); tuberculosis in Ukraine (OR: 32.3); and dusty work in Kazakhstan (OR: 2.30). Co-morbidities like cardiovascular diseases and a history of pneumonia occurred significantly ( p <  0.05) more frequently in the COPD population compared to the non-COPD population across all participating countries. For hypertension, this was the case in Ukraine and Azerbaijan.

          Conclusion

          In CIS countries (Ukraine, Kazakhstan and Azerbaijan), the prevalence of COPD “diagnosed by spirometry” was significantly higher than the prevalence of previously diagnosed COPD. Compared to many other countries, the prevalence of COPD seems to be relatively low in CIS countries. Factors such as limited funding from the government; lack of COPD knowledge and the attitude within the population, and of primary care physicians; as well as low access to high-quality spirometry may play a role in this under-diagnosis of COPD. The information provided in this paper will be helpful for healthcare policy makers in CIS countries to instruct COPD management and prevention strategies and to allocate healthcare resources accordingly.

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          Most cited references22

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          THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL

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            Epidemiology of COPD.

            Chronic obstructive pulmonary disease (COPD) is responsible for early mortality, high death rates and significant cost to health systems. The projection for 2020 indicates that COPD will be the third leading cause of death worldwide (from sixth in 1990) and fifth leading cause of years lost through early mortality or handicap (disability-adjusted life years) (12th in 1990). Active smoking remains the main risk factor, but other factors are becoming better known, such as occupational factors, infections and the role of air pollution. Prevalence of COPD varies according to country, age and sex. This disease is also associated with significant comorbidities. COPD is a disorder that includes various phenotypes, the continuum of which remains under debate. The major challenge in the coming years will be to prevent onset of smoking along with early detection of the disease in the general population.
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              Creating scenarios of the impact of copd and their relationship to copd assessment test (CAT™) scores

              Background The COPD Assessment Test (CAT™) is a new short health status measure for routine use. New questionnaires require reference points so that users can understand the scores; descriptive scenarios are one way of doing this. A novel method of creating scenarios is described. Methods A Bland and Altman plot showed a consistent relationship between CAT scores and scores obtained with the St George's Respiratory Questionnaire for COPD (SGRQ-C) permitting a direct mapping process between CAT and SGRQ items. The severity associated with each CAT item was calculated using a probabilistic model and expressed in logits (log odds of a patient of given severity affirming that item 50% of the time). Severity estimates for SGRQ-C items in logits were also available, allowing direct comparisons with CAT items. CAT scores were categorised into Low, Medium, High and Very High Impact. SGRQ items of corresponding severity were used to create scenarios associated with each category. Results Each CAT category was associated with a scenario comprising 12 to 16 SGRQ-C items. A severity 'ladder' associating CAT scores with exemplar health status effects was also created. Items associated with 'Low' and 'Medium' Impact appeared to be subjectively quite severe in terms of their effect on daily life. Conclusions These scenarios provide users of the CAT with a good sense of the health impact associated with different scores. More generally they provide a surprising insight into the severity of the effects of COPD, even in patients with apparently mild-moderate health status impact.
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                Author and article information

                Contributors
                damilya@gmail.com
                diagnost@ifp.kiev.ua
                admin@ifp.kiev.ua
                study.adonis@gmail.com
                Kateryna.S.Malynovska@gsk.com
                elcan.m@gmail.com
                akhundova.irada@gmail.com
                nadnurkina@gmail.com
                luqman.l.tariq@gsk.com
                +7495 7778900 , yana.j.makarova@gsk.com
                averyan.g.vasylyev@gsk.com
                Journal
                BMC Pulm Med
                BMC Pulm Med
                BMC Pulmonary Medicine
                BioMed Central (London )
                1471-2466
                30 January 2018
                30 January 2018
                2018
                : 18
                : 26
                Affiliations
                [1 ]GRID grid.443614.0, Semey State Medical University, ; Almaty, Kazakhstan
                [2 ]GRID grid.419973.1, National Institute of Phthisiology and Pulmonology F.G. Yanovsky of NAMS, ; Kiev, Ukraine
                [3 ]GRID grid.412081.e, National Medical University n.a. O.O. Bogomoletz, ; Kiev, Ukraine
                [4 ]GlaxoSmithKline, Kiev, Ukraine
                [5 ]Scientific Research Institute of Lung Diseases, Baku, Azerbaijan
                [6 ]GlaxoSmithKline, Dubai, UAE
                [7 ]GlaxoSmithKline, Moscow, Russia
                [8 ]GSK Russia Business Park “Krylatsky Hills”, 17, Krylatskaya Street, Building 3 (“Air”), 121614 Moscow, Russia
                Article
                589
                10.1186/s12890-018-0589-5
                5791247
                29382317
                e60c1827-1d1c-4f5c-b058-36001f923025
                © The Author(s). 2018

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 15 October 2017
                : 15 January 2018
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Respiratory medicine
                chronic obstructive pulmonary disease (copd),prevalence,risk factors,ukraine,kazakhstan,azerbaijan

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