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Multimorbidity patterns and association with mortality in 0.5 million Chinese adults

BACKGROUND: Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality amo...

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Autores principales: Fan, Junning, Sun, Zhijia, Yu, Canqing, Guo, Yu, Pei, Pei, Yang, Ling, Chen, Yiping, Du, Huaidong, Sun, Dianjianyi, Pang, Yuanjie, Zhang, Jun, Gilbert, Simon, Avery, Daniel, Chen, Junshi, Chen, Zhengming, Lyu, Jun, Li, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276333/
https://www.ncbi.nlm.nih.gov/pubmed/35191418
http://dx.doi.org/10.1097/CM9.0000000000001985
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author Fan, Junning
Sun, Zhijia
Yu, Canqing
Guo, Yu
Pei, Pei
Yang, Ling
Chen, Yiping
Du, Huaidong
Sun, Dianjianyi
Pang, Yuanjie
Zhang, Jun
Gilbert, Simon
Avery, Daniel
Chen, Junshi
Chen, Zhengming
Lyu, Jun
Li, Liming
author_facet Fan, Junning
Sun, Zhijia
Yu, Canqing
Guo, Yu
Pei, Pei
Yang, Ling
Chen, Yiping
Du, Huaidong
Sun, Dianjianyi
Pang, Yuanjie
Zhang, Jun
Gilbert, Simon
Avery, Daniel
Chen, Junshi
Chen, Zhengming
Lyu, Jun
Li, Liming
author_sort Fan, Junning
collection PubMed
description BACKGROUND: Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults. METHODS: We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality. RESULTS: Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 − 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 − 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 − 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 − 1.37) with every additional disease. CONCLUSION: Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults.
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spelling pubmed-92763332022-07-13 Multimorbidity patterns and association with mortality in 0.5 million Chinese adults Fan, Junning Sun, Zhijia Yu, Canqing Guo, Yu Pei, Pei Yang, Ling Chen, Yiping Du, Huaidong Sun, Dianjianyi Pang, Yuanjie Zhang, Jun Gilbert, Simon Avery, Daniel Chen, Junshi Chen, Zhengming Lyu, Jun Li, Liming Chin Med J (Engl) Original Articles BACKGROUND: Few studies have assessed the relationship between multimorbidity patterns and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns and examined the associations of multimorbidity patterns and the number of chronic diseases with the risk of mortality among Chinese middle-aged and older adults. METHODS: We used data from the China Kadoorie Biobank and included 512,723 participants aged 30 to 79 years. Multimorbidity was defined as the presence of two or more of the 15 chronic diseases collected by self-report or physical examination at baseline. Multimorbidity patterns were identified using hierarchical cluster analysis. Cox regression was used to estimate the associations of multimorbidity patterns and the number of chronic diseases with all-cause and cause-specific mortality. RESULTS: Overall, 15.8% of participants had multimorbidity. The prevalence of multimorbidity increased with age and was higher in urban than rural participants. Four multimorbidity patterns were identified, including cardiometabolic multimorbidity (diabetes, coronary heart disease, stroke, and hypertension), respiratory multimorbidity (tuberculosis, asthma, and chronic obstructive pulmonary disease), gastrointestinal and hepatorenal multimorbidity (gallstone disease, chronic kidney disease, cirrhosis, peptic ulcer, and cancer), and mental and arthritis multimorbidity (neurasthenia, psychiatric disorder, and rheumatoid arthritis). During a median of 10.8 years of follow-up, 49,371 deaths occurred. Compared with participants without multimorbidity, cardiometabolic multimorbidity (hazard ratios [HR] = 2.20, 95% confidence intervals [CI]: 2.14 − 2.26) and respiratory multimorbidity (HR = 2.13, 95% CI:1.97 − 2.31) demonstrated relatively higher risks of mortality, followed by gastrointestinal and hepatorenal multimorbidity (HR = 1.33, 95% CI:1.22 − 1.46). The mortality risk increased by 36% (HR = 1.36, 95% CI: 1.35 − 1.37) with every additional disease. CONCLUSION: Cardiometabolic multimorbidity and respiratory multimorbidity posed the highest threat on mortality risk and deserved particular attention in Chinese adults. Lippincott Williams & Wilkins 2022-03-20 2022-02-21 /pmc/articles/PMC9276333/ /pubmed/35191418 http://dx.doi.org/10.1097/CM9.0000000000001985 Text en Copyright © 2022 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Articles
Fan, Junning
Sun, Zhijia
Yu, Canqing
Guo, Yu
Pei, Pei
Yang, Ling
Chen, Yiping
Du, Huaidong
Sun, Dianjianyi
Pang, Yuanjie
Zhang, Jun
Gilbert, Simon
Avery, Daniel
Chen, Junshi
Chen, Zhengming
Lyu, Jun
Li, Liming
Multimorbidity patterns and association with mortality in 0.5 million Chinese adults
title Multimorbidity patterns and association with mortality in 0.5 million Chinese adults
title_full Multimorbidity patterns and association with mortality in 0.5 million Chinese adults
title_fullStr Multimorbidity patterns and association with mortality in 0.5 million Chinese adults
title_full_unstemmed Multimorbidity patterns and association with mortality in 0.5 million Chinese adults
title_short Multimorbidity patterns and association with mortality in 0.5 million Chinese adults
title_sort multimorbidity patterns and association with mortality in 0.5 million chinese adults
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276333/
https://www.ncbi.nlm.nih.gov/pubmed/35191418
http://dx.doi.org/10.1097/CM9.0000000000001985
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