Goldman Samuel M, Weaver Frances M, Cao Lishan, Gonzalez Beverly, Stroupe Kevin T, Colletta Kalea, Jugnundan Shamil, Brown Ethan G, Tanner Caroline M
Division of Occupational, Environmental, and Climate Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
San Francisco Veterans Affairs Health Care System, San Francisco, California, USA.
Mov Disord. 2025 Feb;40(2):245-253. doi: 10.1002/mds.30075. Epub 2024 Dec 4.
Electronic medical record (EMR)-based studies hold great potential for epidemiologic investigations of Parkinson's disease (PD) causal factors and phenomenology, but diagnostic misclassification may obscure or bias inferences.
The aims were to determine the validity of PD diagnostic codes in the Veterans Administration (VA) national electronic medical databases and develop recommendations for maximizing ascertainment accuracy.
We investigated a cohort of 146,776 veterans who utilized VA healthcare between 1999 and 2021. We reviewed the medical records of individuals with a PD International Classification of Diseases (ICD) code in outpatient, inpatient, or community care encounters to assign a gold-standard diagnosis. We determined diagnostic accuracy based on provider type, coding frequency, medications, and potentially exclusionary ICD codes overall and by race.
A total of 377 of 810 (46.5%) with a PD ICD code had PD. Veterans whose PD was coded by a PD-specialist neurologist were most likely to have PD (83.6%), but sensitivity was low (15.0%). Diagnostic accuracy decreased for PD coded by any neurologist (66.9%), but sensitivity improved (69.4%). Requiring two or more PD codes in combination with two or more levodopa prescriptions improved accuracy, particularly among nonneurologists. Neuroleptic-induced parkinsonism was the most frequent diagnosis in those without PD (15.6%). Accuracy was lower in Black (29.0%) than White (50.5%) veterans regardless of provider type (miscoding odds ratio 2.5, 95% confidence interval 1.7-3.6).
These results highlight the limitations of EMR-based PD ascertainment. Researchers can maximize accuracy by considering provider specialty, coding frequency, pharmacy data, and exclusionary diagnoses, but some degree of record review is required to ensure high accuracy. Higher miscoding among Black veterans warrants further study. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
基于电子病历(EMR)的研究在帕金森病(PD)病因和现象学的流行病学调查中具有巨大潜力,但诊断错误分类可能会使推论模糊或产生偏差。
目的是确定退伍军人事务部(VA)国家电子医疗数据库中PD诊断代码的有效性,并制定提高确诊准确性的建议。
我们调查了1999年至2021年间使用VA医疗服务的146,776名退伍军人队列。我们审查了在门诊、住院或社区护理中具有PD国际疾病分类(ICD)代码的个体的病历,以确定金标准诊断。我们根据医疗服务提供者类型、编码频率、药物治疗以及总体和按种族划分的潜在排除性ICD代码来确定诊断准确性。
810名有PD ICD代码的患者中共有377名(46.5%)患有PD。由PD专科神经科医生编码为PD的退伍军人最有可能患有PD(83.6%),但敏感性较低(15.0%)。任何神经科医生编码的PD诊断准确性降低(66.9%),但敏感性提高(69.4%)。要求两个或更多PD代码与两个或更多左旋多巴处方相结合可提高准确性,特别是在非神经科医生中。在没有PD的患者中,抗精神病药物所致帕金森综合征是最常见的诊断(15.6%)。无论医疗服务提供者类型如何,黑人(29.0%)退伍军人的准确性低于白人(50.5%)退伍军人(错误编码比值比2.5,95%置信区间1.7 - 3.6)。
这些结果突出了基于EMR的PD确诊的局限性。研究人员可以通过考虑医疗服务提供者专业、编码频率、药房数据和排除性诊断来最大限度地提高准确性,但需要进行一定程度的病历审查以确保高准确性。黑人退伍军人中较高的错误编码值得进一步研究。© 2024作者。《运动障碍》由Wiley Periodicals LLC代表国际帕金森和运动障碍协会出版。本文由美国政府雇员贡献,在美国其作品属于公共领域。