{"title":"高尿酸血症患者甘油三酯-葡萄糖相关肥胖指数与全因死亡率和心血管死亡率的关联:一项回顾性队列研究","authors":"Yong Huang, Ziling Wei, Linfeng Wang, Gaojie Zhang, Guo Yang, Jiang Yu, Qingyu Wu, Jiayu Liu","doi":"10.1080/27697061.2025.2475876","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study sought to clarify the relationship between triglyceride-glucose (TyG)-related obesity indices and all-cause and cardiovascular mortality in patients with hyperuricemia (HUA).</p><p><strong>Method: </strong>A total of 4207 patients with HUA from the National Health and Nutrition Examination Survey (NHANES) database were included in this study. Various methods were employed, including weighted multivariate-adjusted Cox regression models, Kaplan-Meier curves, restricted cubic spline, and receiver operating curves.</p><p><strong>Results: </strong>A nonlinear relationship was identified between TyG-related obesity indices and all-cause mortality, while a linear positive relationship was observed for cardiovascular mortality. Among the indices, TyG-ABSI (a body shape index) demonstrated the strongest predictive ability, with areas under the curve for all-cause mortality at 3, 5, and 10 years being 0.638, 0.632, and 0.650, respectively, and for cardiovascular mortality at 3, 5, and 10 years being 0.699, 0.673, and 0.671, respectively. Threshold analysis revealed the potential inflection point (k) of the nonlinear relationship. Subgroup analyses indicated interactions with age, diabetes, or cardiovascular disease. Additionally, serum uric acid was found to partially mediate the association between TyG-derived indices and follow-up time. The results of the sensitivity analysis were consistent with those of the original analysis.</p><p><strong>Conclusions: </strong>TyG-ABSI, which exhibited the best predictive ability, may serve as a valuable biomarker for the long-term follow-up of individuals with HUA.</p>","PeriodicalId":29768,"journal":{"name":"Journal of the American Nutrition Association","volume":" ","pages":"1-10"},"PeriodicalIF":6.8000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of Triglyceride-Glucose-Related Obesity Indices With All-Cause and Cardiovascular Mortality Among Individuals With Hyperuricemia: A Retrospective Cohort Study.\",\"authors\":\"Yong Huang, Ziling Wei, Linfeng Wang, Gaojie Zhang, Guo Yang, Jiang Yu, Qingyu Wu, Jiayu Liu\",\"doi\":\"10.1080/27697061.2025.2475876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study sought to clarify the relationship between triglyceride-glucose (TyG)-related obesity indices and all-cause and cardiovascular mortality in patients with hyperuricemia (HUA).</p><p><strong>Method: </strong>A total of 4207 patients with HUA from the National Health and Nutrition Examination Survey (NHANES) database were included in this study. Various methods were employed, including weighted multivariate-adjusted Cox regression models, Kaplan-Meier curves, restricted cubic spline, and receiver operating curves.</p><p><strong>Results: </strong>A nonlinear relationship was identified between TyG-related obesity indices and all-cause mortality, while a linear positive relationship was observed for cardiovascular mortality. Among the indices, TyG-ABSI (a body shape index) demonstrated the strongest predictive ability, with areas under the curve for all-cause mortality at 3, 5, and 10 years being 0.638, 0.632, and 0.650, respectively, and for cardiovascular mortality at 3, 5, and 10 years being 0.699, 0.673, and 0.671, respectively. Threshold analysis revealed the potential inflection point (k) of the nonlinear relationship. Subgroup analyses indicated interactions with age, diabetes, or cardiovascular disease. Additionally, serum uric acid was found to partially mediate the association between TyG-derived indices and follow-up time. The results of the sensitivity analysis were consistent with those of the original analysis.</p><p><strong>Conclusions: </strong>TyG-ABSI, which exhibited the best predictive ability, may serve as a valuable biomarker for the long-term follow-up of individuals with HUA.</p>\",\"PeriodicalId\":29768,\"journal\":{\"name\":\"Journal of the American Nutrition Association\",\"volume\":\" \",\"pages\":\"1-10\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Nutrition Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/27697061.2025.2475876\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Nutrition Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/27697061.2025.2475876","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Association of Triglyceride-Glucose-Related Obesity Indices With All-Cause and Cardiovascular Mortality Among Individuals With Hyperuricemia: A Retrospective Cohort Study.
Objective: This study sought to clarify the relationship between triglyceride-glucose (TyG)-related obesity indices and all-cause and cardiovascular mortality in patients with hyperuricemia (HUA).
Method: A total of 4207 patients with HUA from the National Health and Nutrition Examination Survey (NHANES) database were included in this study. Various methods were employed, including weighted multivariate-adjusted Cox regression models, Kaplan-Meier curves, restricted cubic spline, and receiver operating curves.
Results: A nonlinear relationship was identified between TyG-related obesity indices and all-cause mortality, while a linear positive relationship was observed for cardiovascular mortality. Among the indices, TyG-ABSI (a body shape index) demonstrated the strongest predictive ability, with areas under the curve for all-cause mortality at 3, 5, and 10 years being 0.638, 0.632, and 0.650, respectively, and for cardiovascular mortality at 3, 5, and 10 years being 0.699, 0.673, and 0.671, respectively. Threshold analysis revealed the potential inflection point (k) of the nonlinear relationship. Subgroup analyses indicated interactions with age, diabetes, or cardiovascular disease. Additionally, serum uric acid was found to partially mediate the association between TyG-derived indices and follow-up time. The results of the sensitivity analysis were consistent with those of the original analysis.
Conclusions: TyG-ABSI, which exhibited the best predictive ability, may serve as a valuable biomarker for the long-term follow-up of individuals with HUA.