A risk assessment nomogram for cardiac remodeling in the multimorbid geriatric patients: a retrospective study

Myocardial remodeling is a key precursor to heart failure and adverse cardiovascular outcomes. While comorbidities such as hypertension, diabetes, and chronic kidney disease are prevalent in the geriatric population. Early identification of risk factors for myocardial remodeling could improve clinical outcomes in this population. This retrospective study analyzed data from older patients (≥ 60 years) at Xiangya Hospital (n = 306). Clinical, echocardiographic, and biochemical data were collected, and myocardial remodeling was defined using standardized criteria. Multivariate logistic regression identified associated factors, which were incorporated into nomograms for left and right heart remodeling. Model performance was assessed using receiver operating characteristic curves, calibration plots, and decision curve analysis. The following factors were associated with myocardial remodeling: myocardiopathy, arrhythmia, valvular disease, PCI, diabetes mellitus, smoking history, male sex, renal function (including eGFR, urea, and uric acid), thyroid dysfunction, and albumin levels. This study developed nomograms that provide a practical tool for early risk stratification, enabling targeted monitoring and intervention in the geriatric population. The Ethics Committees at Xiangya Hospital, Central South University, accepted the study protocol with a waiver of informed consent (No. 2025060932).

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2026-04-14
DOI
https://doi.org/10.1186/s12877-026-07462-2
Primary Topic
Cardiac Fibrosis and Remodeling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A risk assessment nomogram for cardiac remodeling in the multimorbid geriatric patients: a retrospective study

B A Liu, Jian Xiao, Lan Hu, Fei Li et al.
BMC Geriatrics
Cardiac Fibrosis and Remodeling
article

A risk assessment nomogram for cardiac remodeling in the multimorbid geriatric patients: a retrospective study

B A Liu, Jian Xiao, Lan Hu, Fei Li, Dan Hong, Ya Ting Liu
article en

Abstract

Myocardial remodeling is a key precursor to heart failure and adverse cardiovascular outcomes. While comorbidities such as hypertension, diabetes, and chronic kidney disease are prevalent in the geriatric population. Early identification of risk factors for myocardial remodeling could improve clinical outcomes in this population. This retrospective study analyzed data from older patients (≥ 60 years) at Xiangya Hospital (n = 306). Clinical, echocardiographic, and biochemical data were collected, and myocardial remodeling was defined using standardized criteria. Multivariate logistic regression identified associated factors, which were incorporated into nomograms for left and right heart remodeling. Model performance was assessed using receiver operating characteristic curves, calibration plots, and decision curve analysis. The following factors were associated with myocardial remodeling: myocardiopathy, arrhythmia, valvular disease, PCI, diabetes mellitus, smoking history, male sex, renal function (including eGFR, urea, and uric acid), thyroid dysfunction, and albumin levels. This study developed nomograms that provide a practical tool for early risk stratification, enabling targeted monitoring and intervention in the geriatric population. The Ethics Committees at Xiangya Hospital, Central South University, accepted the study protocol with a waiver of informed consent (No. 2025060932).

BMC Geriatrics
Central South University (CN), Xiangya Hospital Central South University (CN)
Natural Science Foundation of Hainan Province
Good health and well-being
Openalex Percentile: Top 8%
Cardiac Fibrosis and Remodeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.