Suppression of disability progression is an important goal in the treatment of multiple sclerosis (MS). Randomized clinical trials in MS frequently use the time to the first confirmed disability progression (CDP) on the ordinal Expanded Disability Status Scale (EDSS) as an endpoint. However, especially in progressive forms of MS, patients may experience repeated CDP events over time. We investigate first how recurrent disability progression events can be defined, and consider then recurrent event analyses that could increase power and improve clinical interpretation of results. Data on disease activity and results from two simulation studies which compare analyses of the time to the first event with recurrent event analyses (including negative binomial, Andersen-Gill and Lin-Wei-Ying-Yang models) are presented to demonstrate challenges in defining disability progression and to identify analysis methods suitable for treatment comparisons in MS trials with disability progression endpoints. This article is based on the Master Thesis by Alexandra B\=uhler at the University of Ulm which was written under the supervision of Jan Beyersmann, Marcel Wolbers, Fabian Model and Qing Wang.
翻译:247. 有关疾病活动的数据和两次模拟研究的结果,其中将时间分析与经常事件分析(包括负面的二感、安德森-吉尔和林维英模式、法比安模式和王金模式)进行比较,以展示在确定残疾进展定义方面的挑战,并确定适合在残疾进展端点的MS试验中进行治疗比较的分析方法。 文章以Jan Beyersmann、Marcel Wolbers、法比安模式和王庆的监督下撰写的Ulm大学Alexandra Büuhler的硕士论文为基础。