Evidence map›Paper›PMID 42116161›Full record

ArticleCardiovascular diabetology2026

Association of cumulative exposure and dynamic trajectories of the C-reactive protein-triglyceride-glucose and its modified indices with cardiovascular disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: a longitudinal analysis based on CHARLS.

Xinyu Yin, Jingyuan Yang, Rongji Li, Meiyun Zhang, Huili Cao, Bin Yang

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Article in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Xinyu YinDepartment of Cardiology, The Second Hospital of Shanxi Medical University, #382 Wuyi Road, Xinghualing District, 030000, Shanxi, Taiyuan, China.
Jingyuan YangDepartment of Cardiology, The Second Hospital of Shanxi Medical University, #382 Wuyi Road, Xinghualing District, 030000, Shanxi, Taiyuan, China.
Rongji LiDepartment of Cardiology, The Second Hospital of Shanxi Medical University, #382 Wuyi Road, Xinghualing District, 030000, Shanxi, Taiyuan, China.
Meiyun ZhangDepartment of Cardiology, The Second Hospital of Shanxi Medical University, #382 Wuyi Road, Xinghualing District, 030000, Shanxi, Taiyuan, China.
Huili CaoDepartment of Cardiology, The Second Hospital of Shanxi Medical University, #382 Wuyi Road, Xinghualing District, 030000, Shanxi, Taiyuan, China.
Bin YangDepartment of Cardiology, The Second Hospital of Shanxi Medical University, #382 Wuyi Road, Xinghualing District, 030000, Shanxi, Taiyuan, China. yangbxys@163.com.

Funding

Shanxi Provincial Health Commission's "Four Batches" Technology-Driven Medical Innovation Plan 2020XM34
6 · The paper itself

Abstract

backgroundTo evaluate the incremental predictive value of modifying the C-reactive protein-triglyceride-glucose (CTI) index with obesity parameters for incident cardiovascular disease (CVD) across Cardiovascular-Kidney-Metabolic (CKM) syndrome stages.

methodsBased on the longitudinal CHARLS cohort, Cox proportional hazards was utilized. Predictive increments were assessed using time-dependent Nearest Neighbor Estimation (NNE) AUC with Bootstrap resampling, cNRI, and IDI. Pathophysiological mechanisms were explored via Weighted Quantile Sum (WQS) regression and causal mediation analyses.

resultsAfter adjusting for demographic and clinical confounders, CTI and its modified indices all maintained robust, independent associations with incident CVD. Specifically, except for CTI-BMI, the new index, which incorporates the obesity index, transforms the dose-response relationship from a complex, nonlinear pattern to a threshold linear association. While increments in overall discrimination (AUC) were marginal, both baseline and cumulative CTI-CVAI significantly improved risk reclassification(cNRI: 0.093-0.126, IDI: 0.024-0.026, P < 0.001). The CKM stratification reveals stage-dependent predictive effects, with amplified relative risks in CKM 0-2 stages and stronger incremental value for risk reclassification in the CKM 3 stage. WQS confirmed visceral adiposity as the dominant risk driver, and physical frailty was identified as a significant pathophysiological mediator of the observed associations.

conclusionsIncorporating obesity indicators, particularly CVAI, into the CTI framework significantly improves the reclassification of CVD risk in early to moderate CKM stages. However, the lack of significant discriminative (AUC) improvement necessitates a careful clinical trade-off between adopting complex composite metrics and maintaining screening feasibility.

trial registrationNot applicable.

Indexed as

Blood GlucoseCardio-Renal SyndromeCardiovascular DiseasesC-Reactive ProteinMetabolic SyndromeObesityTriglyceridesAdiposityAgedBiomarkersFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedBiomarkersBlood GlucoseC-Reactive ProteinTriglyceridescardiovascular diseaseCardiovascular-kidney-metabolic syndromeCHARLSC-reactive protein-triglyceride-glucose index-Chinese Visceral Adipose Index

Identifiers

PMID42116161
PMCPMC13330237

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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.