Evidence map›Paper›PMID 41736927›Full record

ArticleVascular health and risk management2026

Impact of Comorbidity Clusters on Quality of Life in Chronic Heart Failure.

Leyi Zhang, Yanwen Wang, Na Yuan, Yujia Zhang, Jingjing Yan, Lei Zhang, Wenxiao Xiong, Sanqiao Ma, Yanbo Zhang, Jing Tian

Abstract readComparative Study
In one paragraph

Article in Vascular health and risk management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Leyi ZhangDepartment of Health Statistics, School of Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.
Yanwen WangFirst Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.
Na YuanDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.
Yujia ZhangDepartment of Health Statistics, School of Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.ORCID 0009-0003-2373-9000
Jingjing YanDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.
Lei ZhangDepartment of Cardiology, Shanxi Bethune Hospital, Taiyuan, Shanxi Province, People's Republic of China.
Wenxiao XiongDepartment of Cardiology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.
Sanqiao MaDepartment of Health Statistics, School of Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.
Yanbo ZhangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.
Jing TianDepartment of Cardiology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.ORCID 0000-0002-0306-1947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Grouping comorbidities can better reflect the intrinsic relationships among complications. We aimed to explore the relationships between comorbidity groups and dynamic changes in health-related quality of life (HRQoL) in patients with chronic heart failure (CHF). Patients and Methods: A total of 1533 patients with CHF were included. Demographic and clinical variables were recorded during hospitalization. HRQoL was assessed using the Kansas City Cardiomyopathy Questionnaire (KCCQ) at baseline and at 3 and 12 months. Latent class analysis was used to identify comorbidity groups among patients with CHF. This method identifies latent subgroups by analyzing patterns in their comorbidities. Repeated-measures analysis of variance (ANOVA) was used to assess the relationships between comorbidity groups and dynamic changes in KCCQ scores. Results: Three comorbidity clusters were identified: the young/valvular heart disease (VHD) group, the elderly/coronary heart disease (CHD) group, and the high-comorbidity burden group. The young group had a relatively lower comorbidity burden and the best HRQoL, followed by the elderly/CHD group, while the high-comorbidity burden group showed the worst HRQoL. The overall summary scores, clinical summary scores, social limitations, physical limitations, and self-efficacy were significantly highest in the high-comorbidity burden group. In addition, at 3 months the symptom scores had decreased in all three groups. Repeated-measures ANOVA showed that the comorbidity groups were significantly associated with dynamic changes in HRQoL through time and group effects. Conclusion: There were significant differences in the baseline characteristics and dynamic changes of HRQoL among different comorbidity clusters. Patients in the high-comorbidity burden group performed the worst in terms of quality of life, but the improvement was the most significant.

Indexed as

Heart FailureQuality of LifeAgedAged, 80 and overAge FactorsChronic DiseaseComorbidityCost of IllnessFemaleHealth StatusHumansLatent Class AnalysisMaleMiddle AgedPrognosisProspective Studieschronic heart failurecomorbiditieshealth-related quality of lifeKansas City Cardiomyopathy Questionnairelatent class analysis

Identifiers

PMID41736927
PMCPMC12927863

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.