建立和验证预测冠状动脉慢流风险的名图
Jiang Yu1,2, Yangshan Ran3, Dan Yi2
1Department of Hyperbaric Oxygen, The First Medical Centre of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
Frontiers in endocrinology
|March 19, 2024
概括
这项研究开发了一种结合生物和解剖学因素的名图,以预测冠状动脉慢流 (CSF) 风险. 该工具准确评估个体的CSF风险,帮助怀疑冠状动脉疾病的患者做出临床决定.
科学领域:
- 心脏病学 心脏病学
- 医学诊断 医学诊断 医学诊断
- 生物统计学 生物统计学
背景情况:
- 冠状动脉慢流 (CSF) 是一种严重的慢性冠状动脉疾病.
- 很少有研究将生物和解剖学因素用于CSF风险评估.
- 需要一个简单的,集成的CSF预测工具.
研究的目的:
- 开发和验证用于预测冠状动脉缓慢流动 (CSF) 风险的诺米克图.
- 结合生物学和解剖学因素,以改善CSF风险预测.
主要方法:
- 追溯病例控制研究,包括1042名患者 (614例CSF病例,428例对照).
- 患者随机分配到开发 (70%) 和验证 (30%) 队列.
- 最小绝对收缩和选择操作员回归和多变量逻辑回归用于构建和验证名图.
主要成果:
- 作为独立的预测因素,N-终端前脑尿素,高密度胆固醇,血红蛋白和冠状动脉直径 (LAD,LCx,RCA) 被确定为独立的预测因素.
- 在开发 (C指数0.771) 和验证 (C指数0.805) 队列中,Nomogram显示出高度的歧视.
- 通过决策曲线分析证明了卓越的校准和高临床效用.
结论:
- 开发的诺米图准确且个性化地预测了CSF风险.
- 这种工具可以考虑在怀疑冠状动脉缓慢流动的患者中临床使用.
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