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一个验证的算法来识别退伍军人卫生管理局电子健康记录系统中的肝损失补偿

Lamia Y Haque^1,2, Janet P Tate^2,3, Michael Chew^1,2

¹Section of Digestive Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

Pharmacoepidemiology and drug safety

|October 30, 2024

概括

使用国际疾病分类第10次修订 (ICD-10) 代码的新算法准确地识别了电子健康记录中的肝脏去补偿. 这种方法对于慢性肝病患者的研究至关重要.

科学领域:

肝病学肝病学是一种肝病学.
药学流行病学药学流行病学
医疗信息学医疗信息学

背景情况:

对于慢性肝病的药理流行病学研究来说,准确识别肝衰竭至关重要.
现有的方法在识别这一关键临床事件时可能缺乏准确性.

研究的目的:

开发和验证一种算法,用于识别使用疾病国际分类第十版 (ICD-10) 代码的肝损伤补偿.
在现实世界医疗保健环境中评估该算法的积极预测值 (PPV).

主要方法:

使用ICD-10代码创建了一个算法,用于肝脏衰减 (≥1住院患者或≥2门诊患者代码).
数据来源于2015年10月至2019年7月期间的退伍军人健康管理局.
肝病学家对医疗记录的审查证实了病例,并计算了算法的PPV.

主要成果:

该算法在185个记录中在149个记录中确定了确定的肝衰竭,产生了81%的PPV (95%CI,70%-90%).
炎是与肝脏衰竭相关的最常见的诊断.
肝硬化诊断代码仅在56%的确诊肝脏衰竭病例中存在.

结论:

一个基于ICD-10的编码算法证明了识别肝脏衰减的高积极预测值.
这种经过验证的算法可以在退伍军人卫生管理局内可靠地支持慢性肝病患者的药物流行病学研究.

关键词:

流行病学方法流行病学方法肝脏不补偿的情况肝硬化是肝硬化的一种疾病.验证验证的时间

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