血清尿酸与高密度脂蛋白胆固醇比值与阻塞性睡眠呼吸暂停的关联:一项横断面研究。

IF 3.9 2区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yan Tang, Jiaxin Liu, Junchi Zhang, Yuying Zhu, Jinling Zhou
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引用次数: 0

摘要

背景:阻塞性睡眠呼吸暂停(OSA)以间歇性缺氧(IH)、睡眠片段化和交感神经系统活动增强为特征,可诱发氧化应激、全身性炎症和代谢紊乱。这些紊乱表现为血清尿酸(SUA)和高密度脂蛋白胆固醇(HDL-C)水平的改变。最近,SUA与HDL-C (UHR)的比率已成为反映炎症和代谢状态的潜在生物标志物。本研究探讨了UHR与OSA之间的关系。方法:采用横断面设计,从国家健康与营养检查调查(NHANES)数据库中提取数据,时间为2015年至2020年3月。通过NHANES睡眠障碍问卷确定OSA。调查采用加权逻辑回归和趋势检验来评估UHR与OSA之间的关系。用限制三次样条分析和阈值效应分析检验了非线性关系。采用受试者工作特征(ROC)曲线比较UHR、SUA和HDL-C对OSA的预测能力,并计算曲线下面积(AUC)来评估模型的预测准确性。此外,还进行了中介分析,以探讨体重指数(BMI)在这种关联中的作用,敏感性分析证实了研究结果的稳健性。亚组分析进一步评估了各种协变量的影响。结果:在纳入的9985名成年人中,有4906人被确定为OSA患者。UHR与OSA风险呈正相关(OR = 1.02;95% ci: 1.01, 1.04;p = 0.014)。两者之间存在非线性关系(非线性P = 0.024),在UHR水平10.23处出现拐点。与SUA (AUC = 0.568)和HDL-C (AUC = 0.580)相比,UHR对OSA (AUC = 0.591)的预测准确性更高。BMI在UHR与OSA之间有部分中介作用,中介比例为61.99%。结论:UHR与成人OSA风险呈正相关,BMI是部分中介因素。研究结果支持UHR作为OSA患者早期检测和风险评估的可行生物标志物。注重体重管理的策略可能会降低UHR水平升高的个体患OSA的风险。
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 serum uric acid-to-high-density lipoprotein cholesterol ratio with obstructive sleep apnea: a cross-sectional study.

Background: Characterized by intermittent hypoxia (IH), sleep fragmentation, and enhanced sympathetic nervous system activity, obstructive sleep apnea (OSA) precipitates oxidative stress, systemic inflammation, and metabolic perturbations. These disturbances manifest as alterations in serum uric acid (SUA) and high-density lipoprotein cholesterol (HDL-C) levels. Recently, the ratio of SUA to HDL-C (UHR) has emerged as a potential biomarker reflecting both inflammatory and metabolic status. This study investigates the association between UHR and OSA.

Methods: Using a cross-sectional design, data were extracted from adults aged 20 years and older in the National Health and Nutrition Examination Survey (NHANES) database, covering the period from 2015 to March 2020. OSA was determined via the NHANES Sleep Disorders Questionnaire. The investigation employed weighted logistic regression alongside trend tests to evaluate the relationship between UHR and OSA. Nonlinear relationships were examined with restricted cubic spline analysis and threshold effect analysis. Receiver operating characteristic (ROC) curves were utilized to compare the predictive capacities of UHR, SUA, and HDL-C for OSA, with the area under the curve (AUC) calculated to assess the models' predictive accuracy. In addition, mediation analyses were conducted to explore the role of body mass index (BMI) in this association, and sensitivity analyses confirmed the robustness of the findings. Subgroup analyses further assessed the impact of various covariates.

Results: Among the 9985 adults included, 4906 were identified as individuals with OSA. A positive association between UHR and the risk of OSA was observed (OR = 1.02; 95% CI: 1.01, 1.04; P = 0.014). Moreover, a nonlinear relationship was confirmed (P for nonlinearity = 0.024), with an inflection point at a UHR level of 10.23. UHR demonstrated greater predictive accuracy for OSA (AUC = 0.591) compared to SUA (AUC = 0.568) and HDL-C (AUC = 0.580). Additionally, BMI was found to partially mediate the relationship between UHR and OSA, with a mediation proportion of 61.99%. This association remained significant within specific subpopulations (P < 0.05) and was further modulated by factors such as age, alcohol consumption, and diabetes status (P for interaction < 0.05). Sensitivity analyses underscored the stability of these results.

Conclusion: UHR is positively correlated with the risk of OSA in adults, with BMI serving as a partial mediator. The findings support UHR as a viable biomarker for early detection and risk assessment in patients with OSA. Strategies focusing on weight management may reduce the risk of OSA among individuals with elevated UHR levels.

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来源期刊
Lipids in Health and Disease
Lipids in Health and Disease 生物-生化与分子生物学
CiteScore
7.70
自引率
2.20%
发文量
122
审稿时长
3-8 weeks
期刊介绍: Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.
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