Identification of idiopathic inflammatory myopathy research cohorts using international classification of disease (ICD) codes: A systematic review

IF 4.4 2区医学 Q1 RHEUMATOLOGY

Seminars in arthritis and rheumatism Pub Date : 2025-09-17 DOI:10.1016/j.semarthrit.2025.152830

Astia Allenzara , Jill Stachowski , Emily P. Jones , Amanda E. Nelson , Galen Foulke

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引用次数: 0

Abstract

Objective

To summarize studies validating International Classification of Disease (ICD) coding for idiopathic inflammatory myopathies (IIM) case identification, focusing on dermatomyositis (DM) and polymyositis (PM).

Methods

PubMed, Scopus, Embase, and CINAHL search was performed with a medical librarian (Prospero #CRD4202452377). Inclusion criteria required: English language, use of ICD-9 and/or -10 coding to identify cases, and clear method for validating cases.

Results

3684 citations were screened by title/abstract resulting in 69 full-text publications reviewed with 11 articles meeting inclusion criteria. Of the included studies, 5 evaluated only ICD-9, 5 evaluated only ICD-10, and one study evaluated both. All but one study in the US were single center, while those in Europe (n = 4) and Canada (n = 1) were population based. Reference standards varied, including Bohan and Peter (n = 5), 2017 EULAR/ACR classification (n = 2), expert opinion (n = 3), enrollment in Rheumatology Quality Register (n = 1) and muscle biopsy (n = 1). Four studies had a positive predictive value (PPV) of 0.9 or higher; two of these studies used coding associated with inpatient admission, and another required at least 2 codes (710.3) 3 months apart. Multiple coding instances decreased the sensitivity but increased PPV.

Conclusions

ICD coding is a valuable tool for identifying cases in bioinformatic research. Only a few studies describe ICD code validation for IIM research cohort construction. The highest PPV’s are reported for DM and PM with the use of multiple coding instances, or those instances associated with inpatient admission.

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使用国际疾病分类（ICD）代码识别特发性炎性肌病研究队列：系统综述

目的总结验证国际疾病分类（ICD）编码用于特发性炎性肌病（IIM）病例识别的研究，重点是皮肌炎（DM）和多发性肌炎（PM）。方法通过医学图书馆员（Prospero #CRD4202452377）对spubmed、Scopus、Embase和CINAHL进行检索。纳入标准要求：英语，使用ICD-9和/或-10编码来识别病例，以及明确的病例验证方法。结果按标题/摘要筛选了3684篇引文，共审查了69篇全文出版物，其中11篇符合纳入标准。在纳入的研究中，5项仅评估ICD-9, 5项仅评估ICD-10, 1项研究同时评估了ICD-10。除了一项研究外，美国的所有研究都是单中心的，而欧洲（n = 4）和加拿大（n = 1）的研究都是基于人口的。参考标准各不相同，包括Bohan和Peter (n = 5)， 2017年EULAR/ACR分类（n = 2），专家意见（n = 3），风湿学质量登记（n = 1）和肌肉活检（n = 1）。4项研究的阳性预测值（PPV）为0.9或更高；其中两项研究使用与住院患者入院相关的编码，另一项研究相隔3个月至少需要2个编码（710.3）。多个编码实例降低了灵敏度，但增加了PPV。结论sicd编码是生物信息学研究中病例识别的重要工具。只有少数研究描述了用于IIM研究队列构建的ICD代码验证。使用多个编码实例或与住院患者相关的实例时，DM和PM的PPV报告最高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Seminars in arthritis and rheumatism 医学-风湿病学

CiteScore

9.20

自引率

4.00%

发文量

176

审稿时长

46 days

期刊介绍： Seminars in Arthritis and Rheumatism provides access to the highest-quality clinical, therapeutic and translational research about arthritis, rheumatology and musculoskeletal disorders that affect the joints and connective tissue. Each bimonthly issue includes articles giving you the latest diagnostic criteria, consensus statements, systematic reviews and meta-analyses as well as clinical and translational research studies. Read this journal for the latest groundbreaking research and to gain insights from scientists and clinicians on the management and treatment of musculoskeletal and autoimmune rheumatologic diseases. The journal is of interest to rheumatologists, orthopedic surgeons, internal medicine physicians, immunologists and specialists in bone and mineral metabolism.