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利用美国退伍军人事务部电子健康记录开发和验证狼疮肾炎病例定义。

Development and validation of lupus nephritis case definitions using United States veterans affairs electronic health records.

机构信息

Division of Nephrology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA.

Clinical Epidemiology Center, VA Saint Louis Health Care System, Saint Louis, MO, USA.

出版信息

Lupus. 2021 Mar;30(3):518-526. doi: 10.1177/0961203320973267. Epub 2020 Nov 11.

Abstract

OBJECTIVE

International Classification of Diseases (ICD) codes are commonly used to identify patients with rare diseases in electronic health records (EHRs). However, misclassification is common, impacting the validity of study results. In this study, we compared the accuracies of several ICD-based case definitions of lupus nephritis (LN) in identifying United States veterans with LN.

METHODS

Using the Department of Veterans Affairs (VA) EHR, we identified all veterans with ≥1 ICD-9 or 10 diagnostic codes for systemic lupus erythematosus (SLE) between October 1, 1999 and September 30, 2017. A cohort was randomly selected for diagnostic validation and 9 ICD-based LN case definitions were applied to this cohort. The diagnostic accuracy of each definition was assessed against gold standard criterion of biopsy-proven LN.

RESULTS

18,420 veterans had ≥1 ICD-9 or 10 diagnostic codes for SLE; 981 were randomly selected for diagnostic validation. 95 veterans (9.7%) had biopsy-proven LN. The case definitions had high specificity and NPV but variable sensitivity and PPV. The definition containing ≥2 ICD -9 codes for SLE and ≥2 nephritis indicators had the highest combination of sensitivity and specificity (87.4% and 94.6% respectively). ICD-10 code for LN had high specificity (99.8%) and PPV (93.9%).

CONCLUSION

ICD-based case definitions of LN in the VA population have high specificity and NPV but variable sensitivity and PPV. Our results may help guide the design of future LN studies in VA cohorts. The choice of specific case definitions depends on the relative importance of different accuracy measures to individual studies.

摘要

目的

国际疾病分类(ICD)代码常用于在电子健康记录(EHR)中识别罕见病患者。然而,误诊很常见,影响研究结果的有效性。本研究比较了几种基于 ICD 的狼疮肾炎(LN)病例定义在识别美国退伍军人 LN 中的准确性。

方法

我们使用退伍军人事务部(VA)的 EHR,确定了 1999 年 10 月 1 日至 2017 年 9 月 30 日期间至少有 1 个 ICD-9 或 10 个系统性红斑狼疮(SLE)诊断代码的所有退伍军人。随机选择一个队列进行诊断验证,并将 9 个基于 ICD 的 LN 病例定义应用于该队列。根据活检证实的 LN 的金标准标准评估每个定义的诊断准确性。

结果

18420 名退伍军人有≥1 个 ICD-9 或 10 个 SLE 诊断代码;981 名随机选择进行诊断验证。95 名退伍军人(9.7%)有活检证实的 LN。病例定义具有高特异性和阴性预测值,但敏感性和阳性预测值各不相同。包含≥2 个 ICD-9 SLE 代码和≥2 个肾炎指标的定义具有最高的敏感性和特异性组合(分别为 87.4%和 94.6%)。LN 的 ICD-10 代码具有高特异性(99.8%)和阳性预测值(93.9%)。

结论

VA 人群中基于 ICD 的 LN 病例定义具有高特异性和阴性预测值,但敏感性和阳性预测值各不相同。我们的结果可能有助于指导 VA 队列中未来 LN 研究的设计。具体病例定义的选择取决于不同准确性测量对个别研究的相对重要性。

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