ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024
Insulin Resistance Surrogates May Predict HTN-HUA in Young, Non-Obese Individuals.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Association Between the Triglyceride Glucose Index and Hyperuricemia: A Dose-Response Meta-Analysis.Nutrients · 2025Pooled it
- Associations Between Metabolic Syndrome Index, Systemic Inflammatory Index, and Arthritis Subtype in the U.S. and Chinese Adults: A Mediation Analysis.Mediators of inflammation · 2026Article
- Association between atherogenic index of plasma and hypertension combined with diabetes mellitus in United States adults: an analysis of the NHANES surveys from 2011 to 2016.Journal of health, population, and nutrition · 2025Article
- Weight-Adjusted Waist Index May Predict Hypertension Plus Hyperuricemia.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To compare the associations of three surrogate markers of insulin resistance (IR) [glucose and triglycerides (TyG index), TyG index with BMI (TyG-BMI), and the ratio of triglycerides divided by HDL-C (TG/HDL-C)] with hypertensive patients (HTN) plus hyperuricemia (HUA) (HTN-HUA) in young, non-obese individuals. Methods: Data from a cross-sectional epidemiological study of an annual health check-up population aged younger than 66 years were used to calculate the three IR surrogate indexes. The association with HTN-HUA and insulin resistance surrogates was examined with multinomial logistic regression and a receiver operating characteristic (ROC) curve. Results: A total of 6952 participants were included, including 671 (9.65%) participants with HTN alone, 272 (3.91%) participants with HUA alone, and 62 (0.90%) participants with HTN and HUA. Binary multiple-logistic regression results showed that TG/HDL-C was significantly correlated with HTN, HUA, and HTN-HUA. Compared with the lowest quartile, the odds ratios (95% CI) of the highest quartile of TG/HDL-C for HTN-HUA were 3.462 (1.138~10.530). TG/HDL-C and TyG-BMI had moderate discriminative abilities for HTN-HUA, and the area under the curve was 0.748 (0.682~0.815), 0.746 (0.694~0.798). Conclusion: Our study suggests that TG/HDL-C had a significant correlation with HTN-HUA and that TG/HDL-C had moderate discriminative abilities for HTN-HUA.
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