一个务实的名录,使用常规收集的临床变量来选流行的HFpEF:发展和时间验证
Chunmei Chen1, Yuetong Liu2, Xinxin Mao1
1Department of General Internal Medicine, Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
BMC cardiovascular disorders
|February 24, 2026
概括
使用非成像变量的新名图可以估计心力衰竭与保留射出分数 (HFpEF) 风险. 这种工具有助于查和优先考虑患者进行心声回声学,特别是在资源有限的地方.
科学领域:
- 心脏病学 心脏病学
- 医学诊断 医学诊断 医学诊断
- 预测分析是一种预测分析.
背景情况:
- 诊断心力衰竭与保存的喷射分数 (HFpEF) 可能是具有挑战性的.
- 当前的诊断途径可能依赖于无法普遍获得的成像资源.
- 需要有效的查和分类工具来识别患有HFpEF风险的患者.
研究的目的:
- 开发和验证一个务实的名ogram来估计流行HFpEF的概率.
- 支持查,分类和优先考虑心声回声学.
- 利用常规可用的临床和实验室变量,避免复杂的成像.
主要方法:
- 使用2187个病例开发了一个预测模型,并通过2026个独立病例进行验证.
- 对于变量选择,使用了 LASSO 回归分析.
- 后勤回归建立了最终的nomogram,使用引导来评估性能.
主要成果:
- 创建了一个由9个预测因子组成的诺图,包括年龄,SBP,MONO%,RDW-CV,GLU,TG,HDL-C,尿素和IgG.
- 命名图表显示出良好的区别 (C指数为0.762培训,0.783验证).
- 校准很好,内部/时间验证证实了模型的稳定性.
结论:
- 开发的名图有效地使用非成像变量估计个性化HFpEF风险.
- 它可以帮助查,分类和高效的心声回声学资源分配.
- 该工具优先考虑回声心脏学转诊,而不是取代基于指南的诊断.
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