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Article

Epidemiology of Chronic Obstructive Pulmonary Disease (COPD) Comorbidities in Lithuanian National Database: A Cluster Analysis

1
Faculty of Medicine, Vilnius University, Čiurlionio Str. 21, LT-03101 Vilnius, Lithuania
2
Vilnius University Hospital, Santaros Klinikos, Santariškių Str. 2, LT-08661 Vilnius, Lithuania
3
Faculty of Mathematics and Informatics, Institute of Data Science and Digital Technologies, Vilnius University, Naugarduko g. 24, LT-03225 Vilnius, Lithuania
*
Author to whom correspondence should be addressed.
Academic Editors: Ahmed A. Arif and Rajib Paul
Int. J. Environ. Res. Public Health 2022, 19(2), 970; https://doi.org/10.3390/ijerph19020970
Received: 22 November 2021 / Revised: 7 January 2022 / Accepted: 9 January 2022 / Published: 15 January 2022
(This article belongs to the Special Issue Chronic Disease Epidemiology: Advances in Research and Methods)
Various comorbidities and multimorbidity frequently occur in chronic obstructive pulmonary disease (COPD), leading to the overload of health care systems and increased mortality. We aimed to assess the impact of COPD on the probability and clustering of comorbidities. The cross-sectional analysis of the nationwide Lithuanian database was performed based on the entries of the codes of chronic diseases. COPD was defined on the code J44.8 entry and six-month consumption of bronchodilators. Descriptive statistics and odds ratios (ORs) for associations and agglomerative hierarchical clustering were carried out. 321,297 patients aged 40–79 years were included; 4834 of them had COPD. A significantly higher prevalence of cardiovascular diseases (CVD), lung cancer, kidney diseases, and the association of COPD with six-fold higher odds of lung cancer (OR 6.66; p < 0.0001), a two-fold of heart failure (OR 2.61; p < 0.0001), and CVD (OR 1.83; p < 0.0001) was found. Six clusters in COPD males and five in females were pointed out, in patients without COPD—five and four clusters accordingly. The most prevalent cardiovascular cluster had no significant difference according to sex or COPD presence, but a different linkage of dyslipidemia was found. The study raises the need to elaborate adjusted multimorbidity case management and screening tools enabling better outcomes. View Full-Text
Keywords: COPD; comorbidities; multimorbidity; clusters COPD; comorbidities; multimorbidity; clusters
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MDPI and ACS Style

Jurevičienė, E.; Burneikaitė, G.; Dambrauskas, L.; Kasiulevičius, V.; Kazėnaitė, E.; Navickas, R.; Puronaitė, R.; Smailytė, G.; Visockienė, Ž.; Danila, E. Epidemiology of Chronic Obstructive Pulmonary Disease (COPD) Comorbidities in Lithuanian National Database: A Cluster Analysis. Int. J. Environ. Res. Public Health 2022, 19, 970. https://doi.org/10.3390/ijerph19020970

AMA Style

Jurevičienė E, Burneikaitė G, Dambrauskas L, Kasiulevičius V, Kazėnaitė E, Navickas R, Puronaitė R, Smailytė G, Visockienė Ž, Danila E. Epidemiology of Chronic Obstructive Pulmonary Disease (COPD) Comorbidities in Lithuanian National Database: A Cluster Analysis. International Journal of Environmental Research and Public Health. 2022; 19(2):970. https://doi.org/10.3390/ijerph19020970

Chicago/Turabian Style

Jurevičienė, Elena, Greta Burneikaitė, Laimis Dambrauskas, Vytautas Kasiulevičius, Edita Kazėnaitė, Rokas Navickas, Roma Puronaitė, Giedrė Smailytė, Žydrūnė Visockienė, and Edvardas Danila. 2022. "Epidemiology of Chronic Obstructive Pulmonary Disease (COPD) Comorbidities in Lithuanian National Database: A Cluster Analysis" International Journal of Environmental Research and Public Health 19, no. 2: 970. https://doi.org/10.3390/ijerph19020970

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