ArticleTranslational andrology and urology2025
Associations of triglyceride glucose-related parameters with kidney stones: a cross-sectional study from NHANES 2007-2020.
Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between the triglyceride-glucose index and kidney stone disease: a systematic review and dose-response meta-analysis.Lipids in health and disease · 2026Pooled it
- The association between triglyceride glucose index and its derived indices with kidney stones: a nationwide population-based study.World journal of urology · 2026Article
- Interpretable Machine Learning for Predicting Metabolic Syndrome-Kidney Stone Disease Comorbidity: The Role of Dietary Micronutrients.Food science & nutrition · 2026Article
- ZJU index and prevalence of kidney stones in US adults: evidence for a threshold association from NHANES 2007-2018.Translational andrology and urology · 2026Article
- Triglyceride-glucose-waist circumference index: A powerful tool for metabolic dysfunction-associated steatotic liver disease.World journal of hepatology · 2025Review
- Exploring the relationship between triglyceride-glucose index and kidney stones in Chinese adults: a cross-sectional study.Translational andrology and urology · 2025Article
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Abstract
Background: The triglyceride-glucose (TyG) index, combined with obesity-related indicators such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR), has been proven to be reliable for assessing insulin resistance (IR). The objective of this study is to investigate the relationships between TyG-related parameters and the prevalence of kidney stones among adults in the United States (US). Methods: This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007-2020 to evaluate the associations of TyG-related parameters with kidney stones. Weighted logistic regression, restricted cubic spline (RCS) analysis, receiver operating characteristic (ROC) analysis, and subgroup analysis were employed to investigate these relationships. Results: A total of 15,590 participants were included in the analysis. Significant differences were observed in the distributions of TyG-related parameters between those with and without kidney stones. In the fully adjusted model, participants in the highest quartile of TyG-related parameters had a higher risk of kidney stones compared to those in the lowest quartile [TyG-WC: odds ratio (OR): 2.08, 95% confidence interval (CI): 1.66-2.60; TyG-BMI: OR: 2.03, 95% CI: 1.61-2.57; TyG-WHtR: OR: 2.21, 95% CI: 1.72-2.84]. RCS analysis indicated that these associations were non-linear (P for nonlinearity <0.05). ROC analysis showed that TyG-WC had the highest diagnostic accuracy (area under curve: 0.6130). Subgroup analysis further revealed a stronger positive association between TyG-WC and TyG-WHtR and the prevalence of kidney stones in participants without hypertension (P for interaction <0.05). Conclusions: Taken together, there are strong positive correlations between TyG-related parameters and the prevalence of kidney stones in US adults. Our findings suggest that managing IR and preventing obesity may help reduce the risk of kidney stone formation.
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