ArticleAmerican heart journal plus : cardiology research and practice2025
Establishment of a nomogram that predicts the risk of heart failure in hemodialysis patients.
Article in American heart journal plus : cardiology research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Efficacy of 3D-printed bone graft container in the treatment of tibial plateau fractures and postoperative rehabilitation prediction model.BMC surgery · 2026Article
- Predicting cardiovascular events in hemodialysis patients based on the fusion of physicochemical indicators and tongue images: a prospective and multicenter study.Frontiers in physiology · 2026Article
- Construction of a nomogram prediction model for individualized prediction of the risk of left ventricular diastolic dysfunction in maintenance hemodialysis patients.Frontiers in cardiovascular medicine · 2026Article
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6 authors.
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Abstract
Chronic kidney disease (CKD) is expected to become the fifth leading cause of death globally by 2040. Cardiovascular disease (CVD), particularly heart failure (HF), is a severe complication in CKD patients on hemodialysis. This study aimed to develop a nomogram to predict the risk of heart failure hospitalization in hemodialysis patients, providing a valuable tool for clinical decision-making. We retrospectively analyzed data from 196 patients at Kunming Yanan Hospital's hemodialysis center, including demographic, dialysis-related, and laboratory information. Significant HF predictors identified through univariate and multivariate logistic regression were age, diabetes, dialysis duration, left ventricular mass index (LVMI), albumin (ALB), and ejection fraction (EF). These predictors formed the basis of the nomogram, which demonstrated good discrimination (AUC = 0.728) and calibration (Hosmer-Lemeshow test,
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