身体形状指数与冠心病之间的关联:中国南部的一项病例对照研究
Weikun Zhao1,2, Ruiyan Huang1, Renxuan Qin1
1Department of Cardiovascular Medicine, Third Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Frontiers in cardiovascular medicine
|February 20, 2026
概括
身体形状指数 (ABSI) 显示出在中国人群中预测冠心病 (CHD) 风险的潜力. 将ABSI与其他因素 (如前专辑蛋白和阿波利波蛋白B) 结合起来,可以显著改善心脏病风险预测模型.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 人类测量学 人类测量学.
背景情况:
- 冠心病 (CHD) 的负担日益增加.
- 传统的肥胖测量方法在反映脂肪分布和心脏病风险方面的局限性.
- 需要新的人类计量指标,如A体型指数 (ABSI) 进行风险评估.
研究的目的:
- 调查ABSI和相关因素与中国南部心脏病风险的关联.
- 促进早期识别患有心血管疾病高风险的个体.
- 评估ABSI和其他CHD生物标志物的预测性能.
主要方法:
- 对996名接受冠状动脉血管造影的患者进行了回顾性病例对照研究.
- 倾向性得分匹配 (PSM) 选择125个心血管疾病病例和125个对照.
- 特性选择技术 (LASSO,RFE,随机森林) 用于识别关键预测因素.
- 后勤回归和ROC分析用于模型评估和比较.
主要成果:
- ABSI,前白蛋白 (PA),直接与总白血素比率 (DB/TB),阿波利波蛋白B (ApoB),血球蛋白 (GLO),阿波利波蛋白A-I (ApoA-I) 和基本高血压 (EH) 是关键的心脏病预测因素.
- 个别预测因素的预测能力很小 (AUC为0.57-0.66),ABSI显示高灵敏度 (86.4%) 和ApoB高特异性 (78.4%).
- 整合这些因素的多变量模型实现了0.809的AUC,明显超过了个别预测因素.
结论:
- ABSI被认为是中国南部人口中冠心病风险的潜在预测因素.
- 将ABSI与其他生物标志物的整合提高了CHD风险预测模型的性能.
- 使用ABSI和其他因素的多因素方法可以改善心血管疾病风险表征和预防策略.
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