Evidence map›Paper›PMID 40610957›Full record

ArticleBMC cardiovascular disorders2025

Association between the cardiometabolic index and cardiovascular disease risk in patients with cardiovascular-kidney-metabolic syndrome: a cohort study.

De-Gang Mo, Tao Liu, Jing-Xian Bai, Min Liu, Qian-Feng Han, Heng-Chen Yao

Abstract read
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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

De-Gang Mo *School of Medicine, Qingdao University, Qingdao, 266000, China.
Tao Liu *Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, 252000, China.
Jing-Xian BaiDepartment of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, 252000, China.
Min LiuDepartment of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, 252000, China.
Qian-Feng HanDepartment of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, 252000, China. hqfg01@163.com.
Heng-Chen YaoDepartment of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, 252000, China. yaohc66@126.com.

Funding

Horizontal research project of Shandong University No.3450012001901 and No.23460012711702Natural Science Foundation of Shandong Province No. ZR2016HM49Traditional Chinese Medicine Science and Technology Development Plan Project of Shandong Province No.2019-0891
6 · The paper itself

Abstract

backgroundThe cardiovascular-kidney-metabolic (CKM) syndrome, a concept introduced by the American Heart Association in 2023, emphasizes preventing cardiovascular disease (CVD). The cardiometabolic index (CMI) serves as a comprehensive measure to predict CVD risk and assess cardiovascular metabolic health. This study aims to examine the association between CMI and CVD risk in individuals with CKM syndrome.

methodsData from 5,530 participants aged 45 and older were analyzed using the China Health and Retirement Longitudinal Study (CHARLS) database. CMI was calculated based on triglycerides to high-density lipoprotein cholesterol and waist-to-height ratios. All participants were followed up over a period of 9 years, with the endpoint event being the occurrence of CVD. Cox regression models were used to analyze the association between CMI and CVD risk. Kaplan-Meier survival analysis was employed to demonstrate the differences in CVD risk among different CMI groups. Subgroup analyses were conducted to explore the applicability of CMI in various subpopulations.

resultsThe CMI of participants who experienced CVD was significantly higher than that of participants who did not experience CVD (0.53 vs. 0.45, p < 0.001). In the fully adjusted Cox regression model, CMI is identified as an independent risk factor for the development of CVD in patients with CKM [Hazard Ratio (HR): 1.07, 95% Confidence Interval (CI): 1.02–1.04, p = 0.006]. Kaplan-Meier survival curve indicated that the highest quartile of CMI was associated with the greatest risk of CVD (Log-rank test, p < 0.001). Subgroup analyses indicate that CMI has a stronger association in patients with CKM syndrome at stage 3 (HR = 1.33, 95% CI:1.07–1.64, p = 0.010).

conclusionElevated CMI is a critical predictor of CVD incidence in individuals with CKM syndrome, especially in advanced stages.

Indexed as

Cardio-Renal SyndromeCardiovascular DiseasesCholesterol, HDLMetabolic SyndromeTriglyceridesAgedBiomarkersCardiometabolic Risk FactorsChinaDatabases, FactualFemaleHumansLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsBiomarkersCholesterol, HDLTriglyceridesCardiometabolic indexCardiovascular disease riskCardiovascular-Kidney-Metabolic SyndromeRisk assessment

Identifiers

PMID40610957
PMCPMC12226888

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.