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国际疾病分类第十次修订本临床修正版(ICD-10-CM)诊断编码在国家医疗保险索赔数据库中识别急性缺血性卒中的性能

Performance of ICD-10-CM Diagnosis Codes for Identifying Acute Ischemic Stroke in a National Health Insurance Claims Database.

作者信息

Hsieh Meng-Tsang, Hsieh Cheng-Yang, Tsai Tzu-Tung, Wang Yi-Ching, Sung Sheng-Feng

机构信息

Stroke Center and Department of Neurology, E-Da Hospital, Kaohsiung, Taiwan.

School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.

出版信息

Clin Epidemiol. 2020 Sep 25;12:1007-1013. doi: 10.2147/CLEP.S273853. eCollection 2020.

Abstract

PURPOSE

The validity of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding for the identification of acute ischemic stroke (AIS) in Taiwan's National Health Insurance claims database has not been investigated. This study aimed to construct and validate the case definition algorithms for AIS based on ICD-10-CM diagnostic codes.

PATIENTS AND METHODS

This study identified all hospitalizations with ICD-10-CM code of I63* in any position of the discharge diagnoses from the inpatient claims database and all patients with a final diagnosis of AIS from the stroke registry between Jan 2018 and Dec 2019. Hospitalizations in the claims data that could be successfully linked to those in the registry data were regarded as true episodes of AIS. Otherwise, their electronic medical records and images were manually reviewed to ascertain whether they were true episodes of AIS. Using the true episodes of AIS as the reference standard, the positive predictive value (PPV) and sensitivity of various case definition algorithms for AIS were calculated.

RESULTS

A total of 1227 hospitalizations were successfully linked. Among the 155 hospitalizations that could not be linked, 54 were determined to be true episodes of AIS. Using ICD-10-CM code of I63* in any position of the discharge diagnoses to identify AIS yielded a PPV and sensitivity of 92.7% and 99.4%, respectively. The PPV increased to 99.8% with >12% decrease in the sensitivity when AIS was restricted to those with I63* as the primary diagnosis. When AIS was defined to be I63* as the primary, first secondary, or second secondary diagnosis, both PPV and sensitivity were greater than 97%.

CONCLUSION

This study demonstrated the validity of various case definition algorithms for AIS based on ICD-10-CM coding and can provide a reference for future claims-based stroke research.

摘要

目的

台湾全民健康保险理赔数据库中,国际疾病分类第十次修订本临床修订版(ICD-10-CM)编码用于识别急性缺血性卒中(AIS)的有效性尚未得到研究。本研究旨在构建并验证基于ICD-10-CM诊断编码的AIS病例定义算法。

患者与方法

本研究从住院患者理赔数据库中识别出所有出院诊断中任何位置ICD-10-CM编码为I63*的住院病例,以及2018年1月至2019年12月期间卒中登记处最终诊断为AIS的所有患者。理赔数据中可成功与登记数据中的病例相匹配的住院病例被视为AIS的真实发病情况。否则,将人工查阅其电子病历和影像资料,以确定它们是否为AIS的真实发病情况。以AIS的真实发病情况作为参考标准,计算各种AIS病例定义算法的阳性预测值(PPV)和敏感性。

结果

共有1227例住院病例成功匹配。在155例无法匹配的住院病例中,有54例被确定为AIS的真实发病情况。使用出院诊断中任何位置的ICD-10-CM编码I63来识别AIS,PPV和敏感性分别为92.7%和99.4%。当将AIS限制为以I63作为主要诊断时,PPV升至99.8%,而敏感性下降超过12%。当将AIS定义为以I63*作为主要、第一顺位次要或第二顺位次要诊断时,PPV和敏感性均大于97%。

结论

本研究证明了基于ICD-10-CM编码的各种AIS病例定义算法的有效性,并可为未来基于理赔数据的卒中研究提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf80/7524174/c6107e8b5854/CLEP-12-1007-g0001.jpg

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