怀疑指数的验证,以确定患有遗传性血管风险的患者
Marissa Shams1, Dawn A Laney1, Dave A Jacob2
1Emory School of Medicine, Atlanta, Ga.
The journal of allergy and clinical immunology. Global
|October 2, 2023
概括
使用电子健康记录 (EHR) 的新查工具可以帮助识别遗传性血管 (HAE) 的患者. 这种工具有助于提供者诊断这种罕见的遗传疾病,改善患者的治疗结果.
科学领域:
- 遗传学 是一个遗传学.
- 医疗信息学 医疗信息学
背景情况:
- 遗传性血管 (HAE) 是一种罕见的遗传性疾病.
- 它涉及到kallikrein-bradykinin通路的调节失调.
- 这种失调会导致反复出现的胀发作.
研究的目的:
- 开发和验证基于EHR的怀疑指数选工具,用于HAE.
- 评估该工具能够识别患有HAE增加可能性的患者的能力.
主要方法:
- 使用基于5种遗传HAE原因的逻辑回归模型创建了一个怀疑指数工具.
- 在已知的HAE患者和对照组中验证了该工具.
- 将该工具应用于两个不同站点的非识别EHR数据.
主要成果:
- 一个13个变量模型在EHR数据中准确地识别了大多数HAE患者.
- 扩展到25个变量实现了接近100%的灵敏度和特异性.
- 25个变量算法在一般EHR数据中识别了26名有风险的患者.
结论:
- 基于EHR的怀疑指数选工具可以帮助识别罕见的遗传疾病,如HAE.
- 这些工具可以帮助医疗保健提供者进行诊断.
- 实施这些工具对患者护理有好处.
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