了解代谢综合征和肺功能之间的因果关系和异质性:中国全国一项前性队列研究
Jun Wang1,2,3, Hai-Bin Yu2,3, Si-Yuan Lei2,3
1Department of Respiratory Diseases, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, 200030, China.
Diabetology & metabolic syndrome
|July 3, 2025
概括
代谢综合征 (MetS) 对肺功能产生不利影响,特别是呼吸流量峰值. 因果模型揭示了这种普遍效应,强调了对呼吸系统健康管理MetS的重要性.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 肺部病理学 肺部病理学
背景情况:
- 代谢综合征 (MetS) 是肺功能减弱的已知危险因素.
- 将MetS与肺功能联系在一起的因果证据有限,并因个体特征而异.
研究的目的:
- 为了研究MetS对肺功能的因果关系.
- 通过使用因果模型,探索MetS和肺功能之间的异质关系.
主要方法:
- 使用中国健康与退休纵向研究 (CHARLS) 数据的队列研究 (n=6,468,年龄≥45).
- 倾向性得分重叠权重和CausalForestDML模型用于因果和异质效应估计.
- 沙普利添加式解释特征重要性和TOC/QINI曲线用于模型评估.
主要成果:
- 暴露于MetS显示出对预测值 (PEF%pred) 的百分比 (ATE = -4.20,p < 0.001) 的峰值呼气流有显著的不良因果作用.
- 身体质量指数 (BMI),基线PEF%pred,HDL-C和TyG指数是关键影响因素.
- 小组分析确定了具有较差结果的特定人口和临床资料,例如小组4 (CATE = -5.10).
结论:
- 尽管个体异质,MetS对肺功能的不良因果影响是普遍的.
- 预防和管理MetS对于维持肺功能至关重要.
- 因果机器学习模型为个性化 MetS 治疗决策提供了潜力.
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