
Abstract Objectives To compare the effectiveness of early intensive treatment (EIT) versus escalation treatment (ESC) in a nationwide observational cohort of almost 1000 people with relapsing–remitting multiple sclerosis (RRMS). Materials and methods The EIT cohort started with alemtuzumab (AZM), cladribine (CLAD), fingolimod (FTY), natalizumab (NTZ), ocrelizumab (OCR), or ozanimod (OZA); whereas, the ESC cohort was escalated from dimethylfumarate (DMF) or teriflunomide (TERI) to AZM, CLAD, FTY, NTZ, OCR, or OZA within the Austrian MS Treatment Registry. Patients had to stay on therapy for at least 3 months and up to 16 years. The EIT cohort included 743 and the ESC cohort 227 RRMS patients. We used multinomial propensity scores for inverse probability weighting in generalized linear (GLM) and Cox proportional hazards models to correct for the bias of this non-randomized registry study. Results Estimated mean annualized relapse rates (ARR) were 0.09 for EIT and 0.4 for ESC patients. The incidence rate ratio (IRR) in the GLM model for relapses showed a decreased relapse probability of 78% for the EIT versus ESC cohort [IRR = 0.22, 95% CI (0.16–0.30), p < 0.001]. Analyzing the time to the first relapse by Cox regression, a hazard ratio (HR) of 0.17 [95% CI (0.13–0.22), p < 0.001] revealed a decreased risk of 83% for the EIT group. Regarding sustained Expanded Disability Status Scale (EDSS) progression for 12 weeks, a HR of 0.55 [95% CI (0.40–0.76), p < 0.001] showed a decreased probability of 45% for the EIT cohort. Conclusions ESC treatment after DMF and TERI revealed a higher relapse and EDSS progression probability compared to EIT in Austrian RRMS patients. Therefore, an early intensive treatment should be started in patients with an active or highly active disease course.
Male, Adult, Original Communication, Toluidines, Dimethyl Fumarate, Early intensive treatment, Comparison, Middle Aged, Multiple sclerosis, Cohort Studies, Multiple Sclerosis, Relapsing-Remitting, Austria, Immunosuppressive Agents/administration ; Female [MeSH] ; Immunologic Factors/administration ; Adult [MeSH] ; Humans [MeSH] ; Middle Aged [MeSH] ; Cohort Studies [MeSH] ; Comparison ; Multiple sclerosis ; Male [MeSH] ; Multiple Sclerosis, Relapsing-Remitting/drug therapy [MeSH] ; Escalation treatment ; Toluidines/administration ; Dimethyl Fumarate/administration ; Early intensive treatment ; Austria/epidemiology [MeSH] ; Original Communication ; Registries [MeSH], Humans, Immunologic Factors, Female, Registries, Immunosuppressive Agents, Escalation treatment
Male, Adult, Original Communication, Toluidines, Dimethyl Fumarate, Early intensive treatment, Comparison, Middle Aged, Multiple sclerosis, Cohort Studies, Multiple Sclerosis, Relapsing-Remitting, Austria, Immunosuppressive Agents/administration ; Female [MeSH] ; Immunologic Factors/administration ; Adult [MeSH] ; Humans [MeSH] ; Middle Aged [MeSH] ; Cohort Studies [MeSH] ; Comparison ; Multiple sclerosis ; Male [MeSH] ; Multiple Sclerosis, Relapsing-Remitting/drug therapy [MeSH] ; Escalation treatment ; Toluidines/administration ; Dimethyl Fumarate/administration ; Early intensive treatment ; Austria/epidemiology [MeSH] ; Original Communication ; Registries [MeSH], Humans, Immunologic Factors, Female, Registries, Immunosuppressive Agents, Escalation treatment
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
