Evidence map›Paper›PMID 42302024›Full record

ArticlePloS one2026

Frailty in older maintenance hemodialysis patients: A latent class analysis revealing personalized management.

Fangping Chen, Xingyue Guo, Dingyuan Wei, Mengxing Wang, Jiayan Wang, Didi Xu, Luyang Jin, Surui Liang, Siyi Li, Xuemei Xian

Abstract read
In one paragraph

Article in PloS one, 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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Fangping ChenNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-1636-5392
Xingyue GuoNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Dingyuan WeiNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Mengxing WangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jiayan WangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Didi XuNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Luyang JinHangzhou Traditional Chinese Medicine Hospital, Hangzhou, Zhejiang, China.
Surui LiangSchool of Nursing, Ma Kam Chan Memorial Building, Hong Kong, China.
Siyi LiShenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
Xuemei XianNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-0805-0251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElderly patients undergoing maintenance hemodialysis (MHD) exhibit an elevated risk of frailty, which is strongly associated with adverse clinical outcomes, including increased mortality. However, current frailty assessment tools often overlook intrinsic patient heterogeneity, limiting their clinical utility. This study employs latent class analysis to identify distinct frailty profiles in elderly MHD patients, aiming to explore heterogeneity in frailty phenotypes and identify associated factors, thereby informing the development of targeted interventions.

methodsData were collected from 227 elderly patients receiving MHD in Guangdong Province, China, from January to April 2023. Participants were assessed using a general information questionnaire and the Fried scale. Latent class analysis was applied to identify subgroups based on frailty characteristics, and Firth logistic regression was used to examine factors associated with frailty class membership.

resultsTwo distinct frailty subgroups were identified: Class 1 (low physical activity-high frailty group, 55.1%) and Class 2 (high physical activity-low frailty group, 44.9%). Firth logistic regression demonstrated that combined hypertension (odds ratio [OR] = 0.023; 95% confidence interval [CI]: 0.002-0.119; P < 0.001), older age (OR = 0.746; 95% CI: 0.618-0.840; P < 0.001), longer dialysis duration (OR = 0.935; 95% CI: 0.874-0.976; P = 0.001), lower serum albumin concentration (OR = 0.884; 95% CI: 0.775-0.973; P = 0.010), and lower serum creatinine concentration (OR = 0.996; 95% CI: 0.992-0.999; P = 0.017) were significantly associated with belonging to the high-frailty group. Overweight showed a trend toward a protective association but did not reach statistical significance (OR = 5.874; 95% CI: 0.900-55.438; P = 0.065).

conclusionsThis study highlights the heterogeneity of frailty among elderly maintenance hemodialysis patients. Combined hypertension was strongly and inversely associated with the low-frailty group, indicating its predominance in the high-frailty phenotype. Older age, longer dialysis duration, lower serum albumin levels, and lower serum creatinine levels were significantly associated with the high-frailty phenotype. These findings underscore the importance of personalized frailty assessment and interventions, such as blood pressure management, nutritional support, and tailored exercise programs, to improve health outcomes in this vulnerable population. Future multicenter longitudinal studies are warranted to validate these frailty phenotypes and evaluate their predictive value for clinical outcomes.

Indexed as

FrailtyRenal DialysisAgedAged, 80 and overChinaFemaleHumansLatent Class AnalysisLogistic ModelsMalePrecision MedicineRisk Factors

Identifiers

PMID42302024
PMCPMC13271483

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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.