# Relationship between nine triglyceride-glucose-related indices and cardiometabolic multimorbidity incidence in patients with cardiovascular-kidney-metabolic syndrome stage 0–3: a nationwide prospective cohort study

**Authors:** Tonglong Jin, Xiaogang Tang, Yang Han, Haiqing Fan, Qi Qin, Hui Jiang, Zhaoyao Chen, Wenlei Li, Yuan Zhu, Minghua Wu

PMC · DOI: 10.1186/s12933-026-03077-4 · Cardiovascular Diabetology · 2026-01-12

## TL;DR

This study shows that nine triglyceride-glucose-related indices, especially TyG-CVAI, can predict future cardiometabolic multimorbidity in patients with early-stage cardiovascular-kidney-metabolic syndrome.

## Contribution

The study establishes the predictive value of TyG-related indices for cardiometabolic multimorbidity in CKM syndrome stages 0–3.

## Key findings

- Nine TyG-related indices were associated with increased cardiometabolic multimorbidity risk in CKM syndrome patients.
- TyG-CVAI showed the highest predictive accuracy for CMM with an AUC of 0.679.
- Most indices demonstrated a linear dose-response relationship with CMM risk.

## Abstract

Cardiovascular-kidney-metabolic (CKM) syndrome integrates metabolic, renal, and cardiovascular disease risk. While increasing evidence suggests that triglyceride-glucose (TyG)-related indices are associated with the future risk of cardiometabolic multimorbidity (CMM), their link to CMM in CKM syndrome has not been established.

This study analyzed participants with CKM syndrome stage 0–3 from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020. We used Cox regression analysis, restricted cubic spline (RCS) curves, and Kaplan–Meier (K–M) survival curves to evaluate the relationship between TyG-related indices and CMM risk in patients with CKM stage 0–3 syndrome. Receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) analyses were used to assess the predictive performance of the TyG-related indices for CMM.

During a median follow-up of 9 years, 652 participants (9.5%) developed CMM. The fully adjusted model revealed an elevated CMM risk across the highest quartiles of all indices, with hazard increases ranging from 72 to over 200%. A linear dose-response relationship was observed for most indices, except for triglyceride glucose-a body shape index (TyG-ABSI) and C-reactive protein-triglyceride-glucose index (CTI). The triglyceride glucose-Chinese visceral adiposity index (TyG-CVAI) achieved the highest area under the curve (AUC) for CMM prediction (0.679), and compared with the fully adjusted model (Model 4), all indices provided significant incremental predictive values.

Nine TyG-related indices, particularly TyG-CVAI, are strong independent predictors of future CMM in patients with CKM syndrome stage 0–3. These findings underscore the utility of TyG-related indices, particularly TyG-CVAI, in identifying high-risk individuals, thereby informing strategies for the early detection and prevention of CKM syndrome.

The online version contains supplementary material available at 10.1186/s12933-026-03077-4.

## Linked entities

- **Diseases:** cardiovascular-kidney-metabolic syndrome (MONDO:0976301)

## Full-text entities

- **Genes:** CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CKM (creatine kinase, M-type) [NCBI Gene 1158] {aka CKMM, CPK-M, M-CK}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}
- **Diseases:** vascular stiffness (MESH:C566112), angina (MESH:D000787), RCS (MESH:D002313), visceral adiposity (MESH:D007418), TyG (MESH:C566031), atherogenic lipid disorders (MESH:D011017), hypertension (MESH:D006973), visceral obesity (MESH:D056128), CHARLS (OMIM:603663), hyperglycemia (MESH:D006943), thrombosis (MESH:D013927), stroke (MESH:D020521), obesity (MESH:D009765), BRI (MESH:D018208), metabolic (MESH:D008659), Inflammatory (MESH:D007249), Cardiovascular-kidney-metabolic (CKM) syndrome (MESH:D007674), heart disease (MESH:D006331), dyslipidemia (MESH:D050171), CKD (MESH:D051436), hypertriglyceridemia (MESH:D015228), adiposity (MESH:D018205), coronary artery disease (MESH:D003324), plaque rupture (MESH:D012421), metabolic dysregulation (MESH:D021081), Coronary heart disease (MESH:D003327), CVD (MESH:D002318), cognitive decline (MESH:D003072), death (MESH:D003643), congestive heart failure (MESH:D006333), euglycemic hyperinsulinemic (MESH:D044903), atherosclerosis (MESH:D050197), diabetes (MESH:D003920), CMM (MESH:D024821), IR (MESH:D007333)
- **Chemicals:** UA (MESH:D014527), FFA (MESH:D005230), FBG (-), nitric oxide (MESH:D009569), Cr (MESH:D003404), glucose (MESH:D005947), lipid (MESH:D008055), alcohol (MESH:D000438), TC (MESH:D014280), cholesterol (MESH:D002784), urea (MESH:D014508)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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Source: https://tomesphere.com/paper/PMC12879366