Evidence map›Paper›PMID 41254490›Full record

ArticleBMC geriatrics2025

Prevalence of heart failure stages in elderly population: from a community-dwelling elderly people survey.

Manyun Huang, Min Wang, Xin Gong, Sibin Guan, Hao Hu, Xiaoling Xi, Chenying Zhu, Qingliu Zhang, Jianhong Cao, Wei Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2025. 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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2 · The registry

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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.

Manyun Huang *Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Min Wang *Department of General Medicine, Beicai Community Health Service Center of Pudong, New District, Shanghai, China.
Xin GongDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Sibin GuanDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Hao HuDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaoling XiDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Chenying ZhuDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Qingliu ZhangDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Jianhong CaoDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Wei HanDepartment of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China. 2100504@tongji.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF) is a major public health concern in China, but there is a lack of epidemiological data on the prevalence of early-stage HF in the elderly.

objectivesThis study aimed to evaluate the prevalence of different stages of HF in individuals aged ≥ 60 years in a community-based survey.

methodsThis cross-sectional study enrolled 7,640 participants from a community. Basic demographic information, NT-proBNP, troponin T (TnT) levels, and echocardiographic data were collected. Participants were classified into four stages: Healthy, Stage A, Stage B, and Stage C. Prevalence and associated risk factors were analyzed.

resultsThe mean age was 70.2 years, with 54.5% being female. The prevalence of Stage A and B was 44.0% and 27.8%, respectively. In Stage A, hypertension was the most common risk factor (80.89%), followed by diabetes (29.75%) and obesity (18.08%). In Stage B and C, 97.2% and 88.2% had an ejection fraction ≥ 50%. The prevalence of Stage B increased with age (P < 0.001), and women had higher prevalence of Stage B compared to men (29.69% vs. 25.65%, P < 0.001). Female gender (OR 1.352, P < 0.001), older age (OR 1.096, P < 0.001), atrial fibrillation/flutter (OR 2.853, P < 0.001), and coronary artery disease (OR 1.473, P < 0.001) were identified as significant risk factors for Stage B.

conclusionsThis survey revealed a high prevalence of Stage A and B HF in the elderly, with most Stage B individuals having an ejection fraction ≥ 50%, emphasizing the need for targeted prevention and management strategies for at-risk groups.

Indexed as

Health SurveysHeart FailureIndependent LivingPopulation SurveillanceResidence CharacteristicsAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPrevalenceNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)ElderlyHeart failure stageNT-proBNPPrevalence

Identifiers

PMID41254490
PMCPMC12625626

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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.