ArticleJournal of the American Heart Association2026
Association of Composite Metabolic Indices With Incident Carotid Plaque: A Chinese Cohort Study.
Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Development and validation of a cross-sectional risk screening nomogram for carotid plaque based on routine health examination data and the triglyceride-glucose-waist-to-hip ratio.Frontiers in endocrinology · 2026Article
- Linear dose-response relationship between TyG-WC index and diastolic dysfunction: insights from restricted cubic spline and machine learning analysis.Frontiers in endocrinology · 2026Article
- Differential age-related patterns in the associations of LDL-C, TG/HDL-C ratio, and carotid plaque: a large-scale cross-sectional study in a Chinese health check-up population.Frontiers in cardiovascular medicine · 2026Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundComposite metabolic indices are key drivers of carotid plaque (CP) formation. This study aimed to evaluate and compare the predictive performance of 12 composite metabolic indices for incident CP in a large Chinese cohort.
methodsThis retrospective cohort study enrolled 10 407 participants free of CP at baseline from the DHMC (Dalian Health Management Cohort). The primary outcome was incident CP, diagnosed via carotid ultrasound. Cox proportional hazards regression models were used to assess the association between 12 indices-the triglyceride-glucose index (TyG), TyG-body mass index, TyG-waist circumference, TyG-waist-to-height ratio, body mass index, weight-adjusted-waist index, body roundness index, lipid accumulation product, visceral adiposity index, cardiometabolic index, lipoprotein combined index, and atherogenic index of plasma-and incident CP. Time-dependent receiver operating characteristic curves were employed to compare their predictive performance. Subgroup analyses were performed to validate the findings.
resultsDuring a median follow-up of 2.4 years, 1832 participants (17.6%) developed CP. After adjustment for potential confounders, all composite metabolic indices were significantly associated with incident CP. Among these indices, the lipoprotein combined index exhibited the strongest association and the best predictive performance. Time-dependent receiver operating characteristic analyses further confirmed that lipoprotein combined index consistently achieved the highest predictive accuracy throughout the follow-up period.
conclusionsAmong 12 metabolic indices, LCI emerged as the strongest predictor for CP development in this Asian cohort, supporting its use as a simple, noninvasive tool to identify high-risk individuals for subclinical atherosclerosis and improve atherosclerotic cardiovascular disease primary prevention.
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