Jing Xi , Miao Miao , Polly W.C. Li , Doris S.F. Yu
{"title":"多病簇对成人健康结局的预后影响:一项系统回顾和荟萃分析。","authors":"Jing Xi , Miao Miao , Polly W.C. Li , Doris S.F. Yu","doi":"10.1016/j.arr.2025.102897","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Multimorbidity is an important global health concern. We evaluated the prognostic impacts of multimorbidity clusters on health outcomes in adults.</div></div><div><h3>Methods</h3><div>This study was registered in PROSPERO (CRD42024528148), and no funding was received. Eight databases (PubMed, EMBASE, Cochrane Library, Web of Science, PsycINFO, CINAHL, Wan Fang, and CNKI) were searched for longitudinal studies reporting the prognostic impacts of multimorbidity clusters. Methodological quality was assessed using Newcastle–Ottawa Scale. Data analysis incorporated narrative synthesis, random-effects meta-analysis, subgroup analysis, meta-regression, sensitivity analysis, and Egger’s test.</div></div><div><h3>Results</h3><div>Forty articles identifying 12 multimorbidity clusters were included. Cardiometabolic multimorbidity (adjusted hazard ratio [HR]: 1.97, 95 % confidence interval [CI]: 1.76–2.21; adjusted odds ratio [OR]: 1.44, 95 % CI: 1.16–1.80) had strong prognostic impact on all-cause mortality, followed by cardiopulmonary (adjusted HR: 1.70, 95 % CI: 1.38–2.09), and digestive multimorbidity (adjusted HR: 1.46, 95 % CI: 1.11–1.93). It also predicted circulatory (adjusted HR: 3.41, 95 % CI: 2.27–5.12) and cancer mortality (adjusted HR: 1.32, 95 % CI: 1.04–1.67), activities of daily living disability (adjusted OR: 1.76, 95 % CI: 1.57–1.99), and depression (adjusted OR: 1.53, 95 % CI: 1.27–1.85). Multi-system multimorbidity predicted all-cause mortality (adjusted OR: 1.41, 95 % CI: 1.12–1.77) and activities of daily living disability (adjusted OR: 2.04, 95 % CI: 1.36–3.05). Cardiometabolic multimorbidity predicted a higher risk of all-cause mortality when identified using a pre-determined method.</div></div><div><h3>Conclusion</h3><div>Multimorbidity clusters strongly impact activities of daily living, depression, and mortality, with cardiometabolic multimorbidity warranting particular attention. However, due to methodological limitations, heterogeneity, Asian-dominant samples, and language bias, these results should be interpreted with caution.</div></div>","PeriodicalId":55545,"journal":{"name":"Ageing Research Reviews","volume":"112 ","pages":"Article 102897"},"PeriodicalIF":12.4000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic effects of multimorbidity clusters on health outcomes in adults: A systematic review and meta-analysis\",\"authors\":\"Jing Xi , Miao Miao , Polly W.C. Li , Doris S.F. Yu\",\"doi\":\"10.1016/j.arr.2025.102897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Multimorbidity is an important global health concern. We evaluated the prognostic impacts of multimorbidity clusters on health outcomes in adults.</div></div><div><h3>Methods</h3><div>This study was registered in PROSPERO (CRD42024528148), and no funding was received. Eight databases (PubMed, EMBASE, Cochrane Library, Web of Science, PsycINFO, CINAHL, Wan Fang, and CNKI) were searched for longitudinal studies reporting the prognostic impacts of multimorbidity clusters. Methodological quality was assessed using Newcastle–Ottawa Scale. Data analysis incorporated narrative synthesis, random-effects meta-analysis, subgroup analysis, meta-regression, sensitivity analysis, and Egger’s test.</div></div><div><h3>Results</h3><div>Forty articles identifying 12 multimorbidity clusters were included. Cardiometabolic multimorbidity (adjusted hazard ratio [HR]: 1.97, 95 % confidence interval [CI]: 1.76–2.21; adjusted odds ratio [OR]: 1.44, 95 % CI: 1.16–1.80) had strong prognostic impact on all-cause mortality, followed by cardiopulmonary (adjusted HR: 1.70, 95 % CI: 1.38–2.09), and digestive multimorbidity (adjusted HR: 1.46, 95 % CI: 1.11–1.93). It also predicted circulatory (adjusted HR: 3.41, 95 % CI: 2.27–5.12) and cancer mortality (adjusted HR: 1.32, 95 % CI: 1.04–1.67), activities of daily living disability (adjusted OR: 1.76, 95 % CI: 1.57–1.99), and depression (adjusted OR: 1.53, 95 % CI: 1.27–1.85). Multi-system multimorbidity predicted all-cause mortality (adjusted OR: 1.41, 95 % CI: 1.12–1.77) and activities of daily living disability (adjusted OR: 2.04, 95 % CI: 1.36–3.05). Cardiometabolic multimorbidity predicted a higher risk of all-cause mortality when identified using a pre-determined method.</div></div><div><h3>Conclusion</h3><div>Multimorbidity clusters strongly impact activities of daily living, depression, and mortality, with cardiometabolic multimorbidity warranting particular attention. However, due to methodological limitations, heterogeneity, Asian-dominant samples, and language bias, these results should be interpreted with caution.</div></div>\",\"PeriodicalId\":55545,\"journal\":{\"name\":\"Ageing Research Reviews\",\"volume\":\"112 \",\"pages\":\"Article 102897\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ageing Research Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1568163725002430\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ageing Research Reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1568163725002430","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Prognostic effects of multimorbidity clusters on health outcomes in adults: A systematic review and meta-analysis
Background
Multimorbidity is an important global health concern. We evaluated the prognostic impacts of multimorbidity clusters on health outcomes in adults.
Methods
This study was registered in PROSPERO (CRD42024528148), and no funding was received. Eight databases (PubMed, EMBASE, Cochrane Library, Web of Science, PsycINFO, CINAHL, Wan Fang, and CNKI) were searched for longitudinal studies reporting the prognostic impacts of multimorbidity clusters. Methodological quality was assessed using Newcastle–Ottawa Scale. Data analysis incorporated narrative synthesis, random-effects meta-analysis, subgroup analysis, meta-regression, sensitivity analysis, and Egger’s test.
Results
Forty articles identifying 12 multimorbidity clusters were included. Cardiometabolic multimorbidity (adjusted hazard ratio [HR]: 1.97, 95 % confidence interval [CI]: 1.76–2.21; adjusted odds ratio [OR]: 1.44, 95 % CI: 1.16–1.80) had strong prognostic impact on all-cause mortality, followed by cardiopulmonary (adjusted HR: 1.70, 95 % CI: 1.38–2.09), and digestive multimorbidity (adjusted HR: 1.46, 95 % CI: 1.11–1.93). It also predicted circulatory (adjusted HR: 3.41, 95 % CI: 2.27–5.12) and cancer mortality (adjusted HR: 1.32, 95 % CI: 1.04–1.67), activities of daily living disability (adjusted OR: 1.76, 95 % CI: 1.57–1.99), and depression (adjusted OR: 1.53, 95 % CI: 1.27–1.85). Multi-system multimorbidity predicted all-cause mortality (adjusted OR: 1.41, 95 % CI: 1.12–1.77) and activities of daily living disability (adjusted OR: 2.04, 95 % CI: 1.36–3.05). Cardiometabolic multimorbidity predicted a higher risk of all-cause mortality when identified using a pre-determined method.
Conclusion
Multimorbidity clusters strongly impact activities of daily living, depression, and mortality, with cardiometabolic multimorbidity warranting particular attention. However, due to methodological limitations, heterogeneity, Asian-dominant samples, and language bias, these results should be interpreted with caution.
期刊介绍:
With the rise in average human life expectancy, the impact of ageing and age-related diseases on our society has become increasingly significant. Ageing research is now a focal point for numerous laboratories, encompassing leaders in genetics, molecular and cellular biology, biochemistry, and behavior. Ageing Research Reviews (ARR) serves as a cornerstone in this field, addressing emerging trends.
ARR aims to fill a substantial gap by providing critical reviews and viewpoints on evolving discoveries concerning the mechanisms of ageing and age-related diseases. The rapid progress in understanding the mechanisms controlling cellular proliferation, differentiation, and survival is unveiling new insights into the regulation of ageing. From telomerase to stem cells, and from energy to oxyradical metabolism, we are witnessing an exciting era in the multidisciplinary field of ageing research.
The journal explores the cellular and molecular foundations of interventions that extend lifespan, such as caloric restriction. It identifies the underpinnings of manipulations that extend lifespan, shedding light on novel approaches for preventing age-related diseases. ARR publishes articles on focused topics selected from the expansive field of ageing research, with a particular emphasis on the cellular and molecular mechanisms of the aging process. This includes age-related diseases like cancer, cardiovascular disease, diabetes, and neurodegenerative disorders. The journal also covers applications of basic ageing research to lifespan extension and disease prevention, offering a comprehensive platform for advancing our understanding of this critical field.