在中年和老年人中发现冠心病的临床预测模型的开发和验证:一个诊断研究
Shiyi Tao1, Lintong Yu1, Deshuang Yang2
1Graduate School, Beijing University of Chinese Medicine, Beijing, China.
European journal of medical research
|September 25, 2023
概括
一个新的多变量模型准确地预测了老年人使用年龄,血红蛋白A1c,脚-手臂指数和手臂动脉流量介导血管扩张的冠心病 (CHD) 风险. 这种工具有助于早期查和诊断,以更好地管理患者.
科学领域:
- 心血管医学 心血管医学
- 医学预测建模医学预测建模
- 老年心脏病学 老年心脏病学
背景情况:
- 冠心病 (CHD) 对中年和老年人群构成重大健康风险.
- 准确的风险分层和早期检测对于这些人群中有效的冠状动脉疾病管理至关重要.
研究的目的:
- 开发和验证一个多变量预测模型,用于估计中年和老年人心血管疾病风险.
- 建立一个可行的方法,用于早期查和诊断心血管疾病在这个患者群体.
主要方法:
- 一个回顾性,单中心的病例控制研究,涉及839名怀疑患有心血管疾病的患者.
- 利用最小绝对收缩和选择操作员 (Lasso) 回归来从临床特征中识别关键预测因素.
- 构建并验证了一种多变量后勤回归模型,使用ROC曲线,校准图和决策曲线分析评估性能.
主要成果:
- 研究人员确定了四种心血管疾病的重要预测因素:年龄,血红蛋白A1c,脚-手臂指数和手臂动脉流量介导的血管扩张.
- 经过验证的模型表现出良好的校准 (霍斯默-莱梅肖测试) 和出色的预测能力 (ROC AUC分别为0.722和0.783的导出和验证集).
- 决策曲线分析表明该模型具有显著的临床实用性和净益处.
结论:
- 开发的多变量模型有效地整合了实验室和临床参数,以对老年人个性化CHD风险预测.
- 该模型提供了一个有价值的工具,以帮助临床评估和决策在治疗和管理的慢性病.
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