Retrospective insights into the cardiometabolic index: predicting cardiorespiratory fitness decline in heart failure

Reduced cardiorespiratory fitness, typically quantified as peak oxygen uptake (VO₂peak) during cardiopulmonary exercise testing, is a key marker of functional limitation and adverse prognosis in heart failure. The cardiometabolic index (CMI), a composite of waist-to-height ratio and the triglyceride-to-high-density lipoprotein cholesterol ratio, captures central adiposity and atherogenic dyslipidemia. However, its association with VO2peak in heart failure is not well defined. The study analyzed data from 505 patients with heart failure who underwent symptom-limited cardiopulmonary exercise testing between January 2022 and January 2024. Patients were stratified into tertiles by CMI. Impaired cardiorespiratory fitness was defined as VO2peak ≤ 20 mL/kg/min. The primary inferential analyses used multivariable logistic regression to estimate the association between CMI tertiles and impaired VO2peak, and restricted cubic spline models to examine whether this association showed a non-linear pattern. Exploratory association-decomposition analyses were used to evaluate candidate intermediate phenotypes, and complementary predictive models were included only to assess whether classification performance improved modestly beyond the regression framework. Higher CMI levels were associated with increased odds of impaired VO₂peak after multivariable adjustment (highest vs. lowest tertile: OR = 3.94, 95% CI 2.04–7.84; p < 0.01). Restricted cubic spline analysis showed a significant non-linear association, with odds increasing above CMI ≈ 0.79 and peaking around 1.17. Exploratory association-decomposition analyses identified statistically prominent candidate intermediate phenotypes, whereas complementary predictive models showed only modest performance gains beyond logistic regression. CMI is a simple, cost-effective, and readily available metabolic index that is strongly associated with impaired cardiorespiratory fitness in patients with HF, particularly HFpEF. The main contribution of this study is the demonstration of a robust and non-linear association between higher CMI and impaired VO2peak, supporting the potential utility of CMI for pragmatic risk stratification in metabolically associated heart failure.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2026-04-01
DOI
https://doi.org/10.1186/s40001-026-04323-x
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Retrospective insights into the cardiometabolic index: predicting cardiorespiratory fitness decline in heart failure

Jiateng Sun, Xunhan Qiu, Jun Ma, Jun Pu et al.
European journal of medical research
Cardiovascular and exercise physiology
article

Retrospective insights into the cardiometabolic index: predicting cardiorespiratory fitness decline in heart failure

Jiateng Sun, Xunhan Qiu, Jun Ma, Jun Pu, Li Xu, Yuhua Gu, Meng Jiang
article en

Abstract

Reduced cardiorespiratory fitness, typically quantified as peak oxygen uptake (VO₂peak) during cardiopulmonary exercise testing, is a key marker of functional limitation and adverse prognosis in heart failure. The cardiometabolic index (CMI), a composite of waist-to-height ratio and the triglyceride-to-high-density lipoprotein cholesterol ratio, captures central adiposity and atherogenic dyslipidemia. However, its association with VO2peak in heart failure is not well defined. The study analyzed data from 505 patients with heart failure who underwent symptom-limited cardiopulmonary exercise testing between January 2022 and January 2024. Patients were stratified into tertiles by CMI. Impaired cardiorespiratory fitness was defined as VO2peak ≤ 20 mL/kg/min. The primary inferential analyses used multivariable logistic regression to estimate the association between CMI tertiles and impaired VO2peak, and restricted cubic spline models to examine whether this association showed a non-linear pattern. Exploratory association-decomposition analyses were used to evaluate candidate intermediate phenotypes, and complementary predictive models were included only to assess whether classification performance improved modestly beyond the regression framework. Higher CMI levels were associated with increased odds of impaired VO₂peak after multivariable adjustment (highest vs. lowest tertile: OR = 3.94, 95% CI 2.04–7.84; p < 0.01). Restricted cubic spline analysis showed a significant non-linear association, with odds increasing above CMI ≈ 0.79 and peaking around 1.17. Exploratory association-decomposition analyses identified statistically prominent candidate intermediate phenotypes, whereas complementary predictive models showed only modest performance gains beyond logistic regression. CMI is a simple, cost-effective, and readily available metabolic index that is strongly associated with impaired cardiorespiratory fitness in patients with HF, particularly HFpEF. The main contribution of this study is the demonstration of a robust and non-linear association between higher CMI and impaired VO2peak, supporting the potential utility of CMI for pragmatic risk stratification in metabolically associated heart failure.

European journal of medical research
Shanghai Jiao Tong University (CN), Renji Hospital (CN)
National Natural Science Foundation of China, School of Medicine, Shanghai Jiao Tong University
Good health and well-being
Openalex Percentile: Top 30%
Cardiovascular and exercise physiology
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.