Validation of an algorithm to detect severe MS relapses in administrative health databases

Severe relapses can be identified from administrative datasets with reasonable accuracy. The trend since 2009 toward outpatient relapse treatment will improve the sensitivity of relapse detection with longitudinal follow-up of this cohort and will allow comparison of severe relapse rates between different DMTs, supporting future comparative effectiveness studies.