Evidence map›Paper›PMID 42818901›Full record

ArticleFrontiers in endocrinology2026

Predictive value of baseline, cumulative exposure and annual mean changes in TyG-related indices for cardiovascular events in older rural adults with cardiovascular-kidney-metabolic syndrome stages 0-3: a cohort study.

Yangzhen Xue, Qingxiu Tian, Rong Zhang, Jiayou Chu, Guilin Liu, Huishu Sun, Yong Qin, Xiaodan Yuan

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Article in Frontiers in endocrinology, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yangzhen Xue *School of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Qingxiu Tian *Department of Nutrition, Xuyi County T.C.M. Hospital, Huai'an, Jiangsu, China.
Rong ZhangSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Jiayou ChuSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Guilin LiuSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Huishu SunSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Yong QinDepartment of Anesthesiology, Xuyi County T.C.M. Hospital, Huai'an, Jiangsu, China.
Xiaodan YuanDepartment of Public Health, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triglyceride-glucose (TyG) index and its derivatives are cost-effective markers of insulin resistance and cardiovascular risk. However, the comparative predictive value of baseline levels, cumulative exposure, and annual mean changes in TyG-related indices remains unclear. This study aimed to systematically compare the predictive performance of multiple dimensions of TyG-related indices for cardiovascular events in rural older adults with cardiovascular-kidney-metabolic (CKM) syndrome stages 0-3. Methods: This cohort study enrolled 4,169 participants aged ≥65 years with no history of cardiovascular events. Longitudinal data from annual standardized health examinations under the National Basic Public Health Services Project were used to calculate baseline, cumulative exposure, and annual mean change values of TyG-related indices. Associations, dose-response relationships, and predictive performance were assessed via accelerated failure time models, restricted cubic spline analyses, time-dependent receiver operating characteristic analyses, and model fit statistics. Linear mixed-effects models were applied to delineate longitudinal trajectories of these indices. Sensitivity analyses were further conducted to verify the robustness of the main findings. Results: During 6 years of follow-up, 822 cardiovascular events were documented. Cardiovascular risk increased progressively with advancing CKM syndrome stages ( Conclusion: Baseline and cumulative TyG-related indices demonstrated stronger associations with cardiovascular events compared with annual mean changes, suggesting that sustained metabolic exposure is more clinically informative than short-term fluctuation. Baseline and cumulative TyG-WC demonstrated relatively better predictive performance and, especially baseline measure, may serve as a simple and low-cost auxiliary tool for cardiovascular risk stratification in resource-constrained primary care settings, though it should not replace conventional cardiovascular risk-assessment instruments.

Indexed as

Blood GlucoseCardio-Renal SyndromeCardiovascular DiseasesMetabolic SyndromeTriglyceridesAgedBiomarkersCohort StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMalePredictive Value of TestsRural PopulationBiomarkersBlood GlucoseTriglyceridesbasic public health servicecardiovascular diseasecardiovascular-kidney-metabolic(CKM) syndromeinsulin resistanceTyG-related indices

Identifiers

PMID42818901
PMCPMC13624300

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