Risk factors and development of a predictive model for frailty in patients with heart failure

Fall history, advanced age, female sex, low hemoglobin levels, and diabetes are significant independent risk factors for frailty in HF patients. The nomogram prediction model demonstrated strong predictive performance, with high accuracy and clinical applicability.

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Publication Details

Journal
American Journal of Translational Research
Published
2025-01-01
DOI
https://doi.org/10.62347/ymbe5232
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
0.00
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article

Risk factors and development of a predictive model for frailty in patients with heart failure

Hongfang Jin
American Journal of Translational Research
Frailty in Older Adults
article

Risk factors and development of a predictive model for frailty in patients with heart failure

Hongfang Jin
article en

Abstract

Fall history, advanced age, female sex, low hemoglobin levels, and diabetes are significant independent risk factors for frailty in HF patients. The nomogram prediction model demonstrated strong predictive performance, with high accuracy and clinical applicability.

American Journal of Translational ResearchVol. 17(5)
Shanghai Traditional Chinese Medicine Hospital (CN)
Openalex Percentile: Top 86%
Frailty in Older Adults
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Risk factors and development of a predictive model for frailty in patients with heart failure — Hongfang Jin · American Journal of Translational Research (2025) | TGRS Research Map | TGRS