Department of Neurology, Medical University of Vienna, Vienna, Austria.
Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Eur J Neurol. 2021 May;28(5):1609-1616. doi: 10.1111/ene.14705. Epub 2021 Jan 18.
There is a lack of evidence guiding discontinuation of disease-modifying therapy (DMT) in relapsing multiple sclerosis (RMS). Thus, the objective of this study was to generate and validate a risk score for disease reactivation after DMT discontinuation in RMS.
We drew a generation and validation dataset from two separate prospectively collected observational databases including RMS patients who received interferon-β or glatiramer acetate for ≥12 months, then discontinued DMT for ≥6 months and had ≥2 years of follow-up available. In the generation sample (n = 168), regression analysis was performed to identify clinical or magnetic resonance imaging (MRI) variables independently predicting disease reactivation after DMT discontinuation. A predictive score was calculated using the variables included in the multivariable model and applied to the validation sample (n = 98).
The variables included in the final model as independent predictors of disease reactivation were age at discontinuation, MRI activity at discontinuation, and duration of clinical stability (all p < 0.001). The resulting score was able to robustly identify patients at high (83%-85%), moderate (36%-38%), and low risk (7%) of disease reactivation within 5 years after DMT discontinuation in both cohorts.
The composite VIAADISC score is a valuable tool to inform and support patients and neurologists in the process of decision making to discontinue injectable DMTs.
目前缺乏指导复发型多发性硬化症(RMS)停止疾病修正治疗(DMT)的证据。因此,本研究旨在制定并验证一种 RMS 患者停止 DMT 后疾病复发风险评分。
我们从两个独立的前瞻性观察性数据库中抽取了生成和验证数据集,纳入接受干扰素-β或醋酸格拉替雷治疗≥12 个月、随后停止 DMT 治疗≥6 个月且有≥2 年随访资料的 RMS 患者。在生成队列(n=168)中,进行回归分析以确定独立预测 DMT 停药后疾病复发的临床或磁共振成像(MRI)变量。使用多变量模型中包含的变量计算预测评分,并应用于验证队列(n=98)。
作为 DMT 停药后疾病复发独立预测因素的最终模型中的变量包括停药时的年龄、停药时的 MRI 活动以及临床稳定持续时间(均 p<0.001)。该评分能够在两个队列中可靠地识别出 DMT 停药后 5 年内疾病复发风险高(83%-85%)、中(36%-38%)和低(7%)的患者。
VIAADISC 综合评分是一种有用的工具,可以为患者和神经科医生在停止注射型 DMT 的决策过程中提供信息和支持。