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Association of LDL‐C/HDL‐C Ratio With Hyperuricemia: A National Cohort Study

机译:LDL-C/HDL-C 比值与高尿酸血症的关系:一项全国队列研究

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摘要

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.
机译:高尿酸血症 (华) 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比值 (LHR) 对发生 华 风险的预测价值。我们从 2011 年至 2016 年的中国健康与退休纵向研究 (CHARLS) 数据库中提取数据。进行多变量 logistic 回归、限制立方样条 (RCS) 分析和线性相关分析,以评估 LHR 与发生 华 风险之间的关联。还进行了亚组分析和交互作用测试。较高的 LHR 与 华 发生率增加相关 (7.8% vs. 9.9% vs. 13.9,p < 0.001)。与非 华 组相比,华 组的 LHR 也更高 (2.64 ± 1.07 vs. 2.40 ± 0.91,p < 0.001)。当评估为连续变量时,LHR 与 华 风险独立相关 (OR = 1.27,95% CI = 1.16–1.39,p < 0.001)。LHR 最高亚组的个体发生 华 的风险显著高于 LHR 最低亚组的个体 (OR = 1.81,95% CI = 1.47–2.23,p < 0.001)。RCS 分析显示 LHR 升高与发生 华 风险增加之间存在显著的非线性关联。LHR 对 华 的预测能力为 0.577。包含 LHR 和其他传统风险因素的复合变量可以显着增强预测 华 的能力 (C 统计量 = 0.677)。总之,较高的 LHR 与发生 华 的风险增加相关。对 LHR 的进一步研究可能有益于预防和治疗 华。

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