Abstract
Background: The DAAE Score is a tool for estimating patient risk of disease progression. We aimed to validate this tool externally. Methods: Data was collected from a clinical cohort treated at the MS Center of Verona. We appraised binary predictions in case-control balanced data using synthetic-minority-oversampling techniques. Results: Included patients (n = 218) had a mean(SD) age and disease duration of 36.8(11.0) and 6.5(6.6). Over 5.2(1.2) years, 53(24.3 %) patients converted to secondary progressive MS. Validation analyses revealed an AUROC=0.948[95 %CI=0.918–0.978], brier-score=1.09, prediction accuracy=89.4 %(95 %CI=85.1 %-94.1 %), sensitivity=0.76(95 %CI=0.69–0.84), and specificity=0.94(95 %CI=0.90–0.99). Conclusion: Within MS Center of Verona, the DAAE Score performs well on external validation.
| Original language | English |
|---|---|
| Article number | 106586 |
| Journal | Multiple Sclerosis and Related Disorders |
| Volume | 101 |
| DOIs | |
| State | Published - Sep 2025 |
Keywords
- Clinical
- Multiple sclerosis
- Prediction
- Risk factors
- Secondary progressive multiple sclerosis
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