从NHS数字数据中识别心力衰竭住院:与专家裁决的比较
Fardad Soltani1,2, Joshua Bradley1,2, Antonio Bonandi1,2
1Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
ESC heart failure
|January 17, 2024
概括
对于确定心力衰竭 (HHF) 的住院患者,NHS数字数据不准确. 它的低灵敏度和积极的预测值意味着它不应该单独用于HHF识别.
科学领域:
- 医疗信息学 医疗信息学
- 心血管流行病学心血管流行病学
- 健康数据的准确性 健康数据的准确性
背景情况:
- 电子健康记录越来越多地用于人口健康研究.
- 准确识别特定条件,如心力衰竭住院治疗至关重要.
- 对于心力衰竭住院治疗 (HHF) 的NHS数字数据的可靠性尚未确定.
研究的目的:
- 评估NHS数字数据的准确性,以识别心力衰竭 (HHF) 的住院病例.
- 评估不同编码集在使用NHS数字数据识别HHF时的性能.
主要方法:
- 一项前性队列研究根据NHS数字数据确定了有和没有HHF的患者.
- 对504名患者进行了专家评判.
- 三个代码集 (ICD-10 I50,OIS,NICOR) 与专家判断进行了比较.
主要成果:
- 只有2%的患者被判定经历过高高频.
- 在第一个诊断位置的所有代码集的特异性高 (>93%).
- 所有编码集的灵敏度和积极预测值都很低,NICOR标准的PPV最高为36.4%.
结论:
- 据NHS数字数据显示,鉴定心力衰竭 (HHF) 住院患者的准确性较低.
- 这些数据不应单独用于HHF识别.
- 在依赖NHS数字数据进行HHF研究之前,需要进一步验证.
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