← 返回

Risk factors associated with malnutrition in elderly patients with chronic heart failure.

Risk factors associated with malnutrition in elderly patients with chronic heart failure.

期刊: Medicine 日期: 2026-07-17 PMID: 42470052 DOI: 10.1097/MD.0000000000049680 浏览: 26
作者: Long J, Deng L, Zhang J, Liu S, Zhou K
J, L., L, D., J, Z., S, L., & K, Z. (2026). Risk factors associated with malnutrition in elderly patients with chronic heart failure.. Medicine. https://doi.org/10.1097/MD.0000000000049680
J L, L D, J Z, S L, K Z. Risk factors associated with malnutrition in elderly patients with chronic heart failure.. Medicine. 2026; doi: 10.1097/MD.0000000000049680
J L, L D, J Z, et al. Risk factors associated with malnutrition in elderly patients with chronic heart failure.[J]. Medicine. 2026. DOI: 10.1097/MD.0000000000049680.
@article{j2026,
  author = {Long J and Deng L and Zhang J and Liu S and Zhou K},
  title = {Risk factors associated with malnutrition in elderly patients with chronic heart failure.},
  journal = {Medicine},
  year = {2026},
  doi = {10.1097/MD.0000000000049680},
  note = {PMID: 42470052},
}
TY  - JOUR
AU  - Long J
AU  - Deng L
AU  - Zhang J
AU  - Liu S
AU  - Zhou K
TI  - Risk factors associated with malnutrition in elderly patients with chronic heart failure.
T2  - Medicine
PY  - 2026
DO  - 10.1097/MD.0000000000049680
AN  - PMID:42470052
ER  - 

摘要

This retrospective observational study aimed to identify clinical determinants of malnutrition in elderly patients with chronic heart failure. Elderly patients (≥65 years) with established chronic heart failure managed at a single tertiary hospital between January 2022 and December 2024 were included. Malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition criteria, using a 2-step approach combining risk screening and phenotypic and etiologic assessment. Demographic, anthropometric, comorbidity, laboratory, and heart failure-related data were extracted from electronic medical records. Univariate and multivariate logistic regression analyses were performed to explore factors associated with malnutrition, and model performance was evaluated using receiver operating characteristic analysis. Among 203 patients, 36 (17.7%) were classified as malnourished. Compared with non-malnourished patients, those with malnutrition were older and had a lower body mass index, lower serum albumin and prealbumin, higher C-reactive protein and neutrophil-to-lymphocyte ratio, poorer renal function, higher N-terminal pro-B-type natriuretic peptide levels, and a higher prevalence of New York Heart Association class III/IV and chronic obstructive pulmonary disease. In multivariate analysis, older age, lower body mass index, higher New York Heart Association class, elevated C-reactive protein, presence of chronic obstructive pulmonary disease, reduced estimated glomerular filtration rate, and higher N-terminal pro-B-type natriuretic peptide remained independently associated with malnutrition. The final model showed good discriminatory performance, with an area under the curve of 0.902, supporting its potential utility for nutritional risk stratification in this population.

AI 智能解读

相关文献

返回分类: 心衰 查看原文 (DOI)
已选择 0 篇文献