Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA.
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Mult Scler. 2023 Oct;29(11-12):1428-1436. doi: 10.1177/13524585231196795. Epub 2023 Sep 12.
Misdiagnosis of multiple sclerosis (MS) is common and can have harmful effects on patients and healthcare systems. Identification of factors associated with misdiagnosis may aid development of prevention strategies.
To identify clinical and radiological predictors of MS misdiagnosis.
We retrospectively reviewed medical records of all patients who were referred to Johns Hopkins MS Center from January 2018 to June 2019. Patients who carried a diagnosis of MS were classified as correctly diagnosed or misdiagnosed with MS by the Johns Hopkins clinician. Demographics, clinical, laboratory, and radiologic data were collected. Differences between the two groups were evaluated, and a regression model was constructed to identify predictors of misdiagnosis.
Out of 338 patients who were previously diagnosed with MS, 41 (12%) had been misdiagnosed. An alternative diagnosis was confirmed in 28 (68%) of the misdiagnosed patients; cerebrovascular disease was the most common alternate diagnosis. Characteristics associated with misdiagnosis were female sex (odds ratio (OR): 5.81 (95% confidence interval (CI): 1.60, 21.05)) and non-specific brain magnetic resonance imaging (MRI) lesions (OR: 7.66 (3.42, 17.16)).
Misdiagnosis is a frequent problem in MS care. Non-specific brain lesions were the most significant predictor of misdiagnosis. Interventions aimed to reduce over-reliance on imaging findings and misapplication of the McDonald criteria may prevent MS misdiagnosis.
多发性硬化症(MS)的误诊较为常见,可能对患者和医疗系统造成不良影响。识别与误诊相关的因素可能有助于制定预防策略。
确定 MS 误诊的临床和影像学预测因素。
我们回顾性分析了 2018 年 1 月至 2019 年 6 月期间所有转诊至约翰霍普金斯 MS 中心的患者的病历。由约翰霍普金斯临床医生将被诊断为 MS 的患者分为正确诊断或误诊为 MS 的患者。收集了患者的人口统计学、临床、实验室和影像学数据。评估了两组之间的差异,并构建了回归模型以确定误诊的预测因素。
在 338 名先前被诊断为 MS 的患者中,有 41 名(12%)被误诊。在 28 名误诊患者中,确认了另一种诊断;最常见的替代诊断是脑血管疾病。与误诊相关的特征是女性(优势比(OR):5.81(95%置信区间(CI):1.60,21.05))和非特异性脑磁共振成像(MRI)病变(OR:7.66(3.42,17.16))。
误诊是 MS 治疗中的常见问题。非特异性脑病变是误诊的最显著预测因素。旨在减少对影像学发现的过度依赖和对 McDonald 标准的错误应用的干预措施可能预防 MS 误诊。