An algorithm using clinical data to predict the optimal individual glucocorticoid dosage to treat multiple sclerosis relapses
Background: Glucocorticoid (GC) pulse therapy is used for multiple sclerosis (MS) relapse treatment; however, GC resistance is a common problem. Considering that GC dosing is individual with several response-influencing factors, establishing a predictive model, which supports clinicians to estimate...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-06-01
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| Series: | Therapeutic Advances in Neurological Disorders |
| Online Access: | https://doi.org/10.1177/17562864211020074 |