丹麦急性损伤诊断代码的灵敏度和积极预测值
Sidse Høyer1, Uffe Heide-Jørgensen1, Simon Kok Jensen1
1Department of Clinical Epidemiology and Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus, Denmark.
Clinical kidney journal
|March 4, 2026
概括
急性损伤 (AKI) 诊断的准确性很高,但在健康登记册中敏感性较低,有可能被低估. 实验室数据对于全面的AKI识别和研究准确性至关重要.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 急性损伤 (AKI) 是导致发病率和死亡率的重要因素.
- 在健康登记册中,AKI的记录不足对准确的人口健康评估构成了挑战.
- 这项研究评估了患者登记册中AKI编码的诊断准确性.
研究的目的:
- 为了确定国际疾病分类第10版 (ICD-10) 对于急性损伤 (AKI) 的代码的敏感性和积极预测值 (PPV).
- 用病:改善全球结果 (KDIGO) 标准,比较卫生登记册中AKI诊断的准确性与实验室识别的AKI.
- 分析不同AKI阶段,设置和患者人口统计数据中诊断准确度的变化.
主要方法:
- 一项观察性研究分析了来自丹麦国家患者登记册和实验室数据库的数据 (2007年1月至2023年11月).
- 基于KDIGO肌素标准在±30天窗口内对ICD-10编码的AKI诊断与实验室识别的AKI发作进行比较.
- 分析的分层是按性别,年龄,AKI阶段,环境 (医院获得与社区获得),并发病率和短期死亡率进行的.
主要成果:
- 总共分析了947209个实验室识别的AKI发作和80,649个ICD-10编码的AKI发作.
- AKI ICD-10代码的整体敏感性低于7.5%,根据AKI阶段有显著的变化 (第一阶段为4.0%,第三阶段为21.7%).
- 总体积极预测值 (PPV) 高达90.6%,表明编码AKI事件的可靠确认.
结论:
- AKI的ICD-10代码具有很高的积极预测价值,证实了记录的诊断的准确性.
- AKI编码的低灵敏度表明,在健康登记册中,AKI发病率被严重低估了.
- 优先考虑实验室数据对于全面的AKI识别至关重要,研究必须解决诊断代码中的潜在偏差.
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