Yanyu Zhang, Xiaoyi Liu, Deyun Luo, Bingli Chen, Chenyi Lai, Chenyu He, Luo Yan, Haifeng Ding, Shiyang Li
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引用次数: 0
Abstract
Hyperuricemia (HUA) is a metabolic abnormality syndrome caused by disorders of purine metabolism. This study aimed to investigate the predictive value of the low-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (LHR) for the risk of developing HUA. We extracted data from the China Health and Retirement Longitudinal Study (CHARLS) database from 2011 to 2016. Multivariable logistic regression, restricted cubic splines (RCSs) analysis, and linear correlation analysis were conducted to evaluate the association between LHR and risk of developing HUA. Subgroup analyses and interaction tests were also performed. A higher LHR was associated with an increased incidence of HUA (7.8% vs. 9.9% vs. 13.9, p < 0.001). The LHR was also higher in the HUA group compared to the non-HUA group (2.64 ± 1.07 vs. 2.40 ± 0.91, p < 0.001). When assessed as a continuous variable, LHR was independently associated with the risk of HUA (OR = 1.27, 95% CI = 1.16–1.39, p < 0.001). The risk of developing HUA was significantly higher among individuals with the highest LHR subgroup than those with the lowest LHR subgroup (OR = 1.81, 95% CI = 1.47–2.23, p < 0.001). RCS analysis revealed a significant nonlinear association between an increased LHR and a higher risk of developing HUA. The predictive abilities of LHR for HUA were 0.577. The composite variable comprising LHR and other traditional risk factors could significantly enhance the ability to predict HUA (C statistic = 0.677). In conclusion, a higher LHR was associated with an increased risk of developing HUA. Further studies on LHR could be beneficial for preventing and treating HUA.
高尿酸血症(HUA)是由嘌呤代谢紊乱引起的代谢异常综合征。本研究旨在探讨低密度脂蛋白胆固醇与高密度脂蛋白胆固醇之比(LHR)对HUA发生风险的预测价值。我们从中国健康与退休纵向研究(CHARLS)数据库中提取了2011年至2016年的数据。采用多变量logistic回归、限制性三次样条(RCSs)分析和线性相关分析评价LHR与HUA发生风险的相关性。还进行了亚组分析和相互作用试验。较高的LHR与较高的HUA发生率相关(7.8% vs. 9.9% vs. 13.9, p
期刊介绍:
Clinical and Translational Science (CTS), an official journal of the American Society for Clinical Pharmacology and Therapeutics, highlights original translational medicine research that helps bridge laboratory discoveries with the diagnosis and treatment of human disease. Translational medicine is a multi-faceted discipline with a focus on translational therapeutics. In a broad sense, translational medicine bridges across the discovery, development, regulation, and utilization spectrum. Research may appear as Full Articles, Brief Reports, Commentaries, Phase Forwards (clinical trials), Reviews, or Tutorials. CTS also includes invited didactic content that covers the connections between clinical pharmacology and translational medicine. Best-in-class methodologies and best practices are also welcomed as Tutorials. These additional features provide context for research articles and facilitate understanding for a wide array of individuals interested in clinical and translational science. CTS welcomes high quality, scientifically sound, original manuscripts focused on clinical pharmacology and translational science, including animal, in vitro, in silico, and clinical studies supporting the breadth of drug discovery, development, regulation and clinical use of both traditional drugs and innovative modalities.