网络工具来提高HFpEF诊断算法的准确性:一个潜在的交叉研究
Jerremy Weerts1, Hesam Amin1,2, Arantxa Barandiarán Aizpurua1
1Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+), PO Box 616, 6200 MD, Maastricht, The Netherlands.
ESC heart failure
|September 19, 2023
概括
一个自动化的网络工具显著提高了使用复杂算法诊断心力衰竭的准确性. 这种工具可以提高得分的准确性,并且在许多情况下可能会影响临床决策.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 诊断工具 诊断工具 诊断工具
背景情况:
- 通过保留喷射分数 (HFpEF) 诊断心力衰竭存在重大挑战.
- 目前的诊断算法,如HFA-PEFF和H2FPEF,是复杂的,容易出现手动计算错误.
研究的目的:
- 评估一个在线工具,旨在自动计算HFpEF诊断算法.
- 评估这个网络工具是否能提高比心脏病学家手动计算的得分准确度.
主要方法:
- 为自动算法计算开发了一个在线HFpEF计算器.
- 一组55名心脏病学家使用了三重交叉设计来比较临床病例的手动和自动评分.
- 准确性被定义为正确得分的百分比,分析了研究完成者的数据.
主要成果:
- 在HFA-PEFF和H2FPEF算法中,手动评分的准确率为50%.
- 对于这两种算法,HFpEF计算器将正确得分提高到100% (P < 0.001).
- 在病例上花费的时间是相似的,但该工具在多达67%的病例中影响了诊断决策,其中67%的心脏病学家更喜欢使用它.
结论:
- 手动计算HFpEF诊断算法经常是不准确的.
- 一个自动化的网络工具显著提高了HFpEF算法得分的准确性.
- 这种工具的常规采用可能会对大量患者的诊断决策产生积极影响.
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