Aims: The aim of this study was to quantify how multiple sclerosis (MS) phenotypes differ from each other in respect of costs and quality-of-life. Materials and methods: The study is based on survey data from Finnish patients with MS (n ¼ 553). The information contained disease type, disease severity according to self-reported Expanded Disease Severity Scale (EDSS), healthcare resource use, and medication use. In addition, information related to employment and early retirement was collected. EQ-5D-VAS and Multiple Sclerosis Impact Scale-29 (MSIS-29) instruments were used to collect quality-of-life data, and Fatigue Severity Scale (FSS) instrument for evaluating fatigue. Patients were stratified based on their disease type (relapsing-remitting MS (RRMS), secondary progressive MS (SPMS), primary progressive MS (PPMS)) and disease severity. The data were primarily analyzed using summary statistics. Results: SPMS had the highest annual total cost (71,177e) followed by PPMS (51,082e) and RRMS (36,492e). Early retirement covered the greatest share of costs in RRMS (39%) and SPMS (43%). In PPMS, early retirement and professional care were the two most equally important cost drivers, contributing together 56% of the total costs. Direct healthcare costs were responsible for 33%, 19%, and 18% of total costs in RRMS, SPMS, and PPMS. The mean EDSS in RRMS, SPMS, and PPMS were 2.5, 5.5, and 5.9, respectively. Differences in the quality-of-life were observed with both disease specific (MSIS-29) and generic (EQ-5D-VAS) instruments. The mean utility value from EQ-5D among patients with RRMS, SPMS, and PPMS was 0.76, 0.52, and 0.49, respectively. In addition, patients with SPMS and PPMS were more likely to report fatigue than patients with RRMS. Conclusions: MS phenotype has an impact on costs and quality-of-life of the patients. Early retirement seems to be one of the most important contributors to MS-related costs.

Prognostic factors and long-term treatment response of interferon β-1a s.c tiw has not been studied in a real-life clinical cohort in Finland. The aim of the paper was to evaluate long-term treatment response, prognostic clinical factors and adherence among interferon β-1a s.c tiw treated patients in Finland. A retrospective review of medical records was performed. Confirmed relapsing multiple sclerosis patients treated with interferon β-1a s.c tiw 22μg or 44μg as their first treatment, from 1996 to 2010 in Western Finland, were included. Longitudinal generalized linear regression models were applied to assess risk of disability progression, using Expanded Disability Status Scale (EDSS), during the treatment period. Odd’s ratios with 95% confidence intervals (95% CI) were calculated for risk factors: gender, age at diagnosis, treatment delay, dose, baseline EDSS and EDSS change in one year. Kaplan-Meier was applied to study median time to discontinuation. Mean duration of treatment in 293 cases was 2.9 years (min 0.04, max 13.5). EDSS increase vs. no increase in one-year carried a significant risk for long-term disability progression (1.20, 1.08-1.33). Older age, defined by a 10-year increase in age at diagnosis (1.43, 1.07-1.91) and one-year delay to treatment start showed an increased risk for disability progression (1.05, 0.99-1.11), but gender (0.66, 0.38-1.15) or initial dose (1.00, 0.45-2.25) showed no risk. Treatment was stopped in 37% due to disease activation at median of 1.7 years, and in 25% due to side effects at 9.3 months. Our results show that young age, a short delay to treatment start and slower disability progression were identified as factors for better outcome among cases with interferon β-1a s.c tiw as their first disease modifying treatment.