ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025
TyG-WC Index as a Superior Predictor of Hyperuricemia Risk in the Hypertensive Population: A Prospective Cohort Study.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- The link between dietary inflammation and hyperuricemia: what is the mediating role of insulin resistance and abdominal obesity?Nutrition & metabolism · 2026Article
- Circulating Adiponectin and Omentin Across Cardiometabolic Phenotypes: Links to Atherogenic Indices in Prediabetes and New-Onset Type 2 Diabetes.International journal of molecular sciences · 2026Article
- Association between the triglyceride-glucose index and hyperuricemia in an apparently healthy population with zero metabolic syndrome components: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Comprehensive evaluation of the prevalent insulin resistance indices for pan-cancer incidence and mortality prediction.Tropical medicine and health · 2025Article
- The Interplay of Cardiometabolic Syndrome Phenotypes and Cardiovascular Risk Indices in Patients Diagnosed with Diabetes Mellitus.International journal of molecular sciences · 2025Article
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7 authors.
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Abstract
Objective: To evaluate the predictive value of the triglyceride-glucose waist circumference index (TyG-WC) for hyperuricemia (HUA) risk in the hypertensive population. Methods: This prospective cohort study involved 831 hypertensive patients with normal uric acid levels, who underwent continuous health examinations for five years. Participants were categorized into four groups based on baseline TyG-WC quartiles, and the incidence of hyperuricemia was monitored in each group. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) for HUA incidence were calculated using Cox proportional hazards regression analysis. The predictive ability of various TyG indices for HUA was evaluated using receiver operating characteristic curves. Results: After five years of follow-up, 117 participants developed HUA. The cumulative incidence of HUA was significantly higher in the highest TyG-WC quartile (Q4) compared to the lowest quartile (Q1). The TyG-WC index demonstrated the highest predictive value, with an area under the curve of 0.685 (95% CI: 0.635-0.734) compared to other obesity-related TyG indices. After adjusting for confounding factors, per standard deviation increase in the TyG-WC index was associated with a 1.28-fold higher risk of developing HUA (95% CI: 1.04-1.56, P < 0.001). Conclusion: The TyG-WC index is a robust independent predictor of HUA risk in the hypertensive population. It provides a practical, reliable, and cost-effective tool for the early identification of high-risk individuals in this population.
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