营养炎症指数与阻塞性睡眠呼吸暂停风险之间的关联:来自NHANES 2015-2020年和门德尔随机化分析的见解
Meixiu Lin1,2, Kaiweisa Abuduxukuer3,4, Lisong Ye1,2
1Department of Orthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai 200001, China.
Healthcare (Basel, Switzerland)
|April 12, 2025
概括
先进的肺癌炎症指数 (ALI),使用常规血标记,显示与阻塞性睡眠呼吸暂停 (OSA) 风险有显著的关联. 这一指数包括体重指数 (BMI) 和白蛋白 (ALB),为OSA管理提供了一种可行的方法.
科学领域:
- 营养免疫学 营养免疫学
- 睡眠的药物 睡眠的药物
- 生物统计学 生物统计学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 风险评估往往忽略了全身代谢和生理因素.
- 目前的监测方法,如多睡眠学 (PSG) 是资源密集型,限制常规使用.
- 需要可访问的生物标志物来评估OSA风险.
研究的目的:
- 为了评估OSA风险的常规血液标志物的综合营养-炎症指数.
- 确定可行的OSA管理和监测指数.
- 探索这些指数与OSA风险之间的关联.
主要方法:
- 来自NHANES (2015-2020) 和GWAS数据集的9622名成年人的分析.
- 使用后勤回归,限制立方线,机器学习和门德尔随机化 (MR).
- 识别了高级肺癌炎症指数 (ALI) 的关键组成部分,包括BMI和专蛋白 (ALB).
主要成果:
- ALI与OSA风险有显著的相关性 (OR = 1.59).
- 在最高的ALI第三位的个体中,OSA的可能性增加了59%.
- 确定BMI和ALB是OSA的因果风险因素;年龄,性别和NLR也是显著的预测因素.
结论:
- 先进的肺癌炎症指数 (ALI) 显示了作为OSA风险评估的综合指数的潜力.
- 营养-炎症指数可以改善OSA的监测和管理.
- 统计建模,机器学习和因果推理的整合提高了临床效用.
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