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The postdoctoral researcher at Amsterdam University Medical Center talked about the development of the DAAE score, a tool for predicting the risk of transition to secondary progressive multiple sclerosis. [WATCH TIME: 8 minutes]
WATCH TIME: 8 minutes
"There's constraints that prevent us from translating our science to the clinical environments, and if we want to build clinical tools that can be translated and immediately useful, we really have to take those constraints seriously. "
Research shows that secondary progressive multiple sclerosis (SPMS) is associated with worse prognosis, thus, usage of an early predictive tool may be beneficial for clinicians in the clinical setting for estimating risk of the disease. Recent findings published in Multiple Sclerosis and Related Disorders showed that the DAAE score, a newly developed clinical tool, estimated patient risk to transition to SPMS consistently across datasets internationally over a 5-year period. These results suggest that the DAAE score is an easy-to-use tool; however, it may need additional validation in larger cohorts to be used for clinical risk estimation in MS.1
In the study, lead author Tom Fuchs, MD, PhD, and colleagues performed a retrospective analysis of data between 1994 and 2022 from the Jacobs Multiple Sclerosis Center and the Multiple Sclerosis Center Amsterdam. Patients included had clinically diagnosed MS, no other neurologic disorder, age 18 or older, had relapsing-remitting MS at baseline, multiple clinical assessments, and at least 1-year longitudinal clinical follow-up. This study included a development, internal-validation, and external-validation dataset, of which patients had a median age of 44.1/42.4/36.6 and disease duration of 7.7/6.2/4.4 years, respectively.
Fuchs, a postdoctoral researcher of the MS Center at Amsterdam University Medical Center, recently had a conversation with NeurologyLive® to talk about the key predictors used in the DAAE score for assessing the risk of transition to SPMS. During the interview, he also discussed how the DAAE score compares with existing predictive tools in terms of usability and accuracy in MS. Further into the discussion, Fuchs spoke about future developments that may be planned to enhance the DAAE score’s ability to support personalized MS treatment.