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

IF 6.8 4区 医学 Q1 NUTRITION & DIETETICS
Yong Huang, Ziling Wei, Linfeng Wang, Gaojie Zhang, Guo Yang, Jiang Yu, Qingyu Wu, Jiayu Liu
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引用次数: 0

摘要

目的:本研究旨在阐明甘油三酯-葡萄糖(TyG)相关肥胖指数与高尿酸血症(HUA)患者全因死亡率和心血管死亡率之间的关系。方法:从全国健康与营养调查(NHANES)数据库中选取4207例HUA患者作为研究对象。采用多种方法,包括加权多变量调整Cox回归模型、Kaplan-Meier曲线、受限三次样条曲线和受试者工作曲线。结果:tyg相关肥胖指数与全因死亡率呈非线性关系,与心血管疾病死亡率呈线性正相关。其中,TyG-ABSI(体型指数)的预测能力最强,3、5、10年全因死亡率曲线下面积分别为0.638、0.632、0.650,3、5、10年心血管死亡率曲线下面积分别为0.699、0.673、0.671。阈值分析揭示了非线性关系的潜在拐点(k)。亚组分析显示与年龄、糖尿病或心血管疾病有相互作用。此外,血清尿酸被发现部分介导tyg衍生指标与随访时间之间的关联。敏感性分析结果与原分析结果一致。结论:TyG-ABSI表现出最好的预测能力,可作为HUA患者长期随访的有价值的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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