基于体检数据的冠状动脉疾病的性别特异性风险评估
Hui Yang1,2, Ya-Mei Luo3,4, Cai-Yi Ma2
1School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
NPJ digital medicine
|July 31, 2023
概括
使用体检数据的新性别特异系统有效评估冠状动脉心脏病 (CHD) 风险. 开发的模型和得分卡为大规模的CHD查和个人生活方式管理提供了准确,易于使用的工具.
科学领域:
- 心血管疾病研究研究
- 生物医学信息学 生物医学信息学
- 公共卫生查 公共卫生查
背景情况:
- 预防冠心病 (CHD) 需要有效的大规模风险查.
- 身体检查数据为健康评估提供了实用,全面的资源.
- 现有的风险评估工具可能缺乏性别特异性或临床应用的方便性.
研究的目的:
- 开发和验证使用体检数据进行冠心病 (CHD) 风险评估的性别特定系统.
- 为广泛的临床和个人使用创建一个用户友好的CHD风险模型和得分卡.
- 建立一个可访问的在线平台,用于CHD风险评估和生活方式管理.
主要方法:
- 使用了39538名心脏病患者和640,465名健康个体的大数据集.
- 从50个体检特征中,特征选择确定了10个关键风险因素.
- 一个完全连接的网络 (FCN) 模型被开发用于CHD风险预测,以及基于后勤回归 (LR) 的得分卡.
主要成果:
- 在独立和外部验证集上,FCN模型在男性和女性队列中表现出高性能,AUC从0.8671到0.9006不等.
- 与FCN模型相比,CHD风险得分卡显示AUC仅略有下降 (<0.05),这表明信息损失最小.
- 一个在线CHD风险评估系统成功建立并向公众提供.
结论:
- 开发的性别特定系统为大规模冠状动脉心脏病风险查提供了准确和有效的方法.
- 心血管疾病风险得分卡为临床实施提供了一个实用的,低信息损失的替代方案.
- 在线评估系统促进个人化的生活方式管理,以预防心血管疾病.
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