为识别事件中风的ICD-10代码的衍生和验证
Jesse A Columbo1,2, Natalie Daya3, Lisandro D Colantonio4
1Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire.
JAMA neurology
|July 1, 2024
概括
疾病国际统计分类第十次修订 (ICD-10) 代码可以在Medicare索赔中识别中风事件,具有中度敏感性和高特异性. 这种验证对于使用声明数据进行准确的临床研究至关重要.
科学领域:
- 临床研究 临床研究
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 索赔数据,包括国际疾病统计分类第十次修订 (ICD-10) 代码,在临床研究中被广泛使用.
- 使用ICD-10代码来定义发生中风的准确性以前没有在美国人口中与专家判断的结果进行验证.
- 在索赔数据中准确识别中风事件对于可靠的临床研究和公共卫生监测至关重要.
研究的目的:
- 开发和验证用于检测意外中风事件的ICD-10代码的准确列表.
- 评估ICD-10代码在使用Medicare住院患者服务费索赔数据识别中风方面的性能.
- 在大规模的健康主张数据库中提供验证的中风事件确定方法.
主要方法:
- 一项队列研究利用了来自社区动脉样硬化风险 (ARIC) 和中风地理和种族差异原因 (REGARDS) 研究的数据.
- 包括65岁或以上没有先前中风的参与者,以及相关的医疗保险索赔数据.
- 在这两项研究中,通过积极监测和专家评判来确定中风事件. 使用ARIC数据开发了一个ICD-10代码列表,并使用REGARDS数据进行验证.
主要成果:
- 在ARIC研究中,使用任何诊断码,ICD-10列表实现了94.5%的灵敏度和98.4%的特异性,用于发作中风的检测.
- 在REGARDS研究中,使用任何诊断代码,ICD-10列表显示77.9%的灵敏度和98.9%的特异性.
- 开发的ICD-10代码列表显示了两种数据集的高特异性,表明可靠的识别非中风病例.
结论:
- ICD-10代码可以有效地用于识别医疗保险索赔数据中的意外中风事件.
- 经过验证的ICD-10代码列表为中风研究提供了可靠的工具,平衡中度敏感度和高特异性.
- 这些发现支持在依赖医疗保险索赔的大规模美国人口研究中使用ICD-10代码来确定发生的中风.
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