Global, regional, and national burden of multiple sclerosis 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

BACKGROUND: Multiple sclerosis is the most common inflammatory neurological disease in young adults. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic method of quantifying various effects of a given condition by demographic variables and geography. In this systematic analysis, we quantified the global burden of multiple sclerosis and its relationship with country development level. METHODS: We assessed the epidemiology of multiple sclerosis from 1990 to 2016. Epidemiological outcomes for multiple sclerosis were modelled with DisMod-MR version 2.1, a Bayesian meta-regression framework widely used in GBD epidemiological modelling. Assessment of multiple sclerosis as the cause of death was based on 13 110 site-years of vital registration data analysed in the GBD's cause of death ensemble modelling module, which is designed to choose the optimum combination of mathematical models and predictive covariates based on out-of-sample predictive validity testing. Data on prevalence and deaths are summarised in the indicator, disability-adjusted life-years (DALYs), which was calculated as the sum of years of life lost (YLLs) and years of life lived with a disability. We used the Socio-demographic Index, a composite indicator of income per person, years of education, and fertility, to assess relations with development level. FINDINGS: In 2016, there were 2 221 188 prevalent cases of multiple sclerosis (95% uncertainty interval [UI] 2 033 866-2 436 858) globally, which corresponded to a 10·4% (9·1 to 11·8) increase in the age-standardised prevalence since 1990. The highest age-standardised multiple sclerosis prevalence estimates per 100 000 population were in high-income North America (164·6, 95% UI, 153·2 to 177·1), western Europe (127·0, 115·4 to 139·6), and Australasia (91·1, 81·5 to 101·7), and the lowest were in eastern sub-Saharan Africa (3·3, 2·9-3·8), central sub-Saharan African (2·8, 2·4 to 3·1), and Oceania (2·0, 1·71 to 2·29). There were 18 932 deaths due to multiple sclerosis (95% UI 16 577 to 21 033) and 1 151 478 DALYs (968 605 to 1 345 776) due to multiple sclerosis in 2016. Globally, age-standardised death rates decreased significantly (change -11·5%, 95% UI -35·4 to -4·7), whereas the change in age-standardised DALYs was not significant (-4·2%, -16·4 to 0·8). YLLs due to premature death were greatest in the sixth decade of life (22·05, 95% UI 19·08 to 25·34). Changes in age-standardised DALYs assessed with the Socio-demographic Index between 1990 and 2016 were variable. INTERPRETATION: Multiple sclerosis is not common but is a potentially severe cause of neurological disability throughout adult life. Prevalence has increased substantially in many regions since 1990. These findings will be useful for resource allocation and planning in health services. Many regions worldwide have few or no epidemiological data on multiple sclerosis, and more studies are needed to make more accurate estimates. FUNDING: Bill & Melinda Gates Foundation

Economic costs incurred by the patients with multiple sclerosis at different levels of the disease : A cross-sectional study in Northwest Iran

Background: Multiple sclerosis (MS) causes significant economic burden to the patients, families, health systems and society. This study aimed to estimate the annual economic costs incurred by patients with multiple sclerosis (pwms) at different levels of the disease. Method: This was a cross-sectional study, using the Expanded Disability Status Scale (EDSS) tool for assessing the disease level of 300 (=N) pwms in East Azerbaijan province, Iran. To estimate the cost of MS, a questionnaire with its validity and reliability (CVR 92% and CVI 87%) and pilot test (Cronbach’s alpha score 0.89) was used. The data were collected by interviewing pwms and reviewing their clinical records. Multivariate linear regression was used to assess the relationship between disease levels and incurred costs. Results: The results revealed that the mean annual cost for pwms in Iran is 97,521,740 IRR (equivalent to 2321.94 USD; 1978.93 EURO) and the mean score of EDSS in pwms was 3.14. The annual cost incurred by pwms with mild, moderate and severe levels of disease were 83,918,150 IRR (1998.05 USD; 1702.88EURO), 137,772,660 IRR (3280.30 USD; 2795.71 EURO) and 119,962,670 IRR (2856.25 USD;2434.30 EURO), respectively. Also, on average, each increase in EDSS score in pwms in Iran led to increase 8,139,260 IRR (equivalent to 193.79 USD; and 165.16 EURO) in total annual cost which must paid from pwms and their households exclusively. Also, there was a significant relationship between total annual cost and disease severity in such a way that any increase in EDSS degree is led to 8,139,260 IRR (193.79 USD; 165.16 EURO) added cost for pwms. Conclusion: The study results could be helpful for Iranian health managers to solve problems which are facing by the patients with multiple sclerosis and their families.