使用国际疾病分类 (ICD) 代码识别异常发炎性肌肉病研究队伍:系统性审查
Astia Allenzara1, Jill Stachowski2, Emily P Jones3
1Division of Rheumatology, Allergy and Immunology and Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC USA.
Seminars in arthritis and rheumatism
|September 26, 2025
概括
国际疾病分类 (ICD) 编码有助于识别异常性炎症性肌肉病 (IIM) 进行研究. 使用多个代码或住院患者数据可以提高皮肤肌炎 (DM) 和多肌炎 (PM) 识别的准确性.
科学领域:
- 类风湿病学 类风湿病学
- 生物信息学是一种生物信息学.
- 医疗信息学 医疗信息学
背景情况:
- 异常性炎症性肌肉病变 (IIM) 是一种罕见的自身免疫性疾病,影响肌肉.
- 准确的病例鉴定对于流行病学和生物信息学研究至关重要.
- 国际疾病分类 (ICD) 代码被广泛用于疾病监测和研究队列识别.
研究的目的:
- 系统地审查和总结那些验证使用ICD编码来识别IIM病例的研究,特别关注皮肤肌炎 (DM) 和多肌炎 (PM).
主要方法:
- 在医学图书馆员的指导下,在PubMed,Scopus,Embase和CINAHL数据库中进行了全面的文献搜索.
- 包括标准指的是使用ICD-9和/或ICD-10代码识别病例并报告清晰的验证方法的英语出版物.
- 总共有3684个引用被选,导致69篇文章的全文审查和11项研究的纳入.
主要成果:
- 十一项研究符合纳入标准,评估ICD-9 (n=5),ICD-10 (n=5),或两者 (n=1).
- 验证方法各不相同,包括已建立的标准,如Bohan和Peter (n=5) 和2017年EULAR/ACR分类 (n=2).
- 四项研究报告了0.9或更高的积极预测值 (PPV),在使用多个ICD代码或与住院患者入院相关的代码时观察到更高的PPV.
结论:
- 在IIM的生物信息学研究中,ICD编码是构建研究队伍的宝贵工具.
- 有限的研究专门验证了ICD代码用于IIM队列构建的使用.
- 通过应用多个编码实例或通过利用与住院护理相关的代码来实现识别DM和PM病例的最高PPV.
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