Mortality in Hungarian patients with multiple sclerosis between 1993 and 2013

Mortality of multiple sclerosis in Iceland population-based mortality of MS in incidence and prevalence cohorts

Introduction

Mortality is an important feature of the natural history of multiple sclerosis (MS). We report the mortality of all individuals with MS in Iceland, identified in a nationwide population-based study.

Patients and Methods

The results are based on a prevalence cohort and an incidence cohort. The prevalence cohort consisted of all patients with MS (n = 526) living in Iceland on the 31 December 2007. The incidence cohort consisted of all residents of Iceland (n = 222) diagnosed with MS during 2002 to 2007. Mortality was determined by following both the incidence cohort (from diagnosis) and the prevalence cohort (from the prevalence day) until death or 31 December 2020. The mortality, associated with MS, was compared with that expected in the Icelandic population (standardized mortality ratio (SMR)).

Results

(a) Prevalence cohort (n = 526). The mean follow up was 12.0 years (range 0.3-13.0). The SMR was 1.6 (95% confidence interval (CI) 1.3-2.0). (b) Incidence cohort (n = 222). The mean follow up was 15.4 years (range 3.7-18.5). The SMR was 1.2 (95% CI 0.6-2.2).

Conclusion

During the follow-up period, there was a substantial increase in mortality among the patients with MS, compared with the general population. There was no increase in mortality among the incidence cohort, when followed for up to 18.5 years following diagnosis.

[Geographic distribution of mortality due to multiple sclerosis in Colombia, 2010-2015]

OBJECTIVE

To characterize the geographical distribution of extended mortality due to multiple sclerosis in Colombia between 2010 and 2015.

MATERIALS AND METHODS

Descriptive study to analyze the geographical distribution of mortality rates from the death certificates between 2010 and 2015. State and municipal mortality rates were calculated and adjusted by age and sex.

RESULTS

56.8% of deaths occurred in women and 28.7% in people aged 50 to 59 years. In 2010, the national mortality rate was 0.28 per 100,000 people, and the highest was recorded in Casanare (0.59 per 100,000). In 2011, the rate was 0.24, and Buenaventura recorded the highest (0.51). In 2012, the rate was 0.27, and la Guajira recorded the highest (0.34). In 2013, the rate was 0.27, and the highest was in Arauca (0.83). In 2014, the rate was 0.32, and the highest was occurred in Putumayo (1.14). In 2015 the rate was 0.23 and Santa Marta recorded the highest (0.58). By municipalities, Sativanorte, Arcabuco (Boyacá), San Miguel, la Paz (Santander) and la Merced (Caldas) recorded the highest rates.

CONCLUSION

The pattern of mortality due to multiple sclerosis is similar in the study period. The highest burden of mortality was recorded in women and in municipalities of Santander and Boyacá.

Proteomics in Multiple Sclerosis: The Perspective of the Clinician

Multiple sclerosis (MS) is the inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS) that affects approximately 2.8 million people worldwide. In the last decade, a new era was heralded in by a new phenotypic classification, a new diagnostic protocol and the first ever therapeutic guideline, making personalized medicine the aim of MS management. However, despite this great evolution, there are still many aspects of the disease that are unknown and need to be further researched. A hallmark of these research are molecular biomarkers that could help in the diagnosis, differential diagnosis, therapy and prognosis of the disease. Proteomics, a rapidly evolving discipline of molecular biology may fulfill this dire need for the discovery of molecular biomarkers. In this review, we aimed to give a comprehensive summary on the utility of proteomics in the field of MS research. We reviewed the published results of the method in case of the pathogenesis of the disease and for biomarkers of diagnosis, differential diagnosis, conversion of disease courses, disease activity, progression and immunological therapy. We found proteomics to be a highly effective emerging tool that has been providing important findings in the research of MS.

Standardized mortality ratios in multiple sclerosis: Systematic review with meta-analysis

OBJECTIVE

To perform a meta-analysis of all-cause, cause-specific and gender-specific standardized mortality ratio and crude mortality rate for people with multiple sclerosis. We also examined the temporal trends in this data.

METHODS

Medline, Cochrane Library and Scopus were searched. Keywords were "multiple sclerosis" and "standardized mortality ratio" or "Standardized Mortality Ratio". We included longitudinal studies with available data on the number of deaths, follow-up period, person years and reports of standardized mortality ratio (SMR). Crude mortality ratio (CMR) was calculated and SMR was extracted. CMRs and log-SMR were pooled by the method of inverse variance. Meta-regression models were used to investigate temporal trends.

RESULTS

Fifty-seven articles were screened. Fifteen studies were included covering a period 1949-2013 (160,000 patients; 21,225 deaths). The all-cause SMR for people with MS was 2.61 (95% CI 2.58 to 2.65). For men this was 2.47 (95% CI 2.42 to 2.52) and for women 2.57 (95% CI 2.53 to 2.61). The CMR was 13.45/1000 person years. Cause-specific SMR was 1.74 (1.67 to 1.81) for CVD, 4.70 (4.45 to 4.87) for respiratory disease and infection, 1.81 (1.64 to 2.0) for accident and suicide and 0.99 (0.93 to 1.06) for cancer. Meta-regression analysis of the SMR compared to midpoint follow-up year revealed no relationship (co-efficient 0.001, p = .98).

CONCLUSIONS

People with multiple sclerosis (MS) have reduced overall survival and increased risk of death from cardiovascular, respiratory and infectious disease as well as accidents and suicide. This does not appear to have changed over the last 65 years.

Societal costs of primary progressive multiple sclerosis in Australia and the economic impact of a hypothetical disease-modifying treatment that could delay disease progression

AIMS

Primary progressive multiple sclerosis (PPMS) has a progressive course of disability with continuous neurological worsening. We investigated societal costs of PPMS in Australia and the economic impact of increasing the independence of people with PPMS through delaying disease progression.

METHODS

This prevalence-based retrospective cost-of-illness analysis used observational data from publicly available secondary data sources and literature findings. Direct and indirect costs of PPMS were considered. A replica estimated population was created using the National Centre for Social and Economic Modelling (NATSEM) microsimulation model of the Australian tax and transfer system (STINMOD+). Using a budget impact analysis approach, we modelled the effect on PPMS costs of an effective hypothetical disease-modifying treatment (DMT) that delays disease progression by a year from mild to moderate and a further year from moderate to severe PPMS.

RESULTS

An estimated 31,650 Australians have multiple sclerosis (MS) including 4,430 with PPMS. The proportion with PPMS was estimated to increase with age and disease severity. Overall 25% of males with MS, and 10% of females, were estimated to have PPMS. Societal cost of PPMS in Australia in 2018 was estimated at AU$418.1 million. Indirect costs contributed 67.5% of total costs, attributable to reduced workforce participation and need for informal care. The modelled DMT was estimated to create savings of AU$14.9 million (3.6%). Fewer people had moderate and severe PPMS resulting in major cost savings, partially offset by increased costs of treatment, care and support for a relative increase in the number of people with mild PPMS and their increased productivity losses.

LIMITATIONS

Publicly available data may be incomplete. The potential cost of the DMT was not considered.

CONCLUSIONS

The economic burden of PPMS was estimated at AU$418 million in 2018. An effective DMT that delayed progression from disease severity states by one year could provide significant cost savings.

Medicinal Chemistry of Multiple Sclerosis: Focus on Cladribine

BACKGROUND

In the recent years, many novel Disease-Modifying Drugs (DMD) have been introduced to the market in the treatment of multiple sclerosis.

OBJECTIVES

To provide the reader with an up to date, compact review on the pharmacokinetic properties, mechanism of action, and clinical attributes of one of the most recently approved drugs in the therapy of multiple sclerosis, cladribine.

CONCLUSION

Cladribine tablets proved to be a highly efficient treatment choice for Relapsing- Remitting Multiple Sclerosis (RRMS), especially for patients with high disease activity. It is the first DMD for MS with a complex mechanism of action, by inhibiting the adenosine-deaminase enzyme it increases the intracellular levels of deoxyadenosine triphosphate, which with relative selectivity depletes both T- and B-cells lines simultaneously. However long term follow-up safety and effectiveness data are still missing, and clear treatment protocols are lacking beyond the first two treatment years cladribine should prove to be a valuable addition to the therapeutic palette of RRMS, and potentially for Clinically Isolated Syndrome (CIS) as well.

Association between suicide and multiple sclerosis: An updated meta-analysis

BACKGROUND

Whether multiple sclerosis is associated with a higher rate of suicide remains controversial. Therefore, we aimed to evaluate the risk of suicide in multiple sclerosis patients based on meta-analysis of previously published data.

METHODS

We searched for studies that measured the suicide risk in multiple sclerosis patients compared with general population that were published up to 1 December 2018 in PubMed, EMBASE, and Web of Science databases. Sixteen studies fulfilled the eligibility criteria. We performed random-effects meta-analyses to calculate suicide rate ratio (SRR) and 95% confidence intervals (CIs) for patients with multiple sclerosis.

RESULTS

The association between suicide and multiple sclerosis was statistically significant with a pooled SRR 1.72 (95%CI 1.48-1.99, I-squared = 55.0%). Risk of suicide at diagnosis of multiple sclerosis (SRR 2.12, 95% CI 1.84-2.46; I-squared = 4.4%) was higher than the risk of suicide at symptom onset (SRR 1.69; 95% CI 1.43-2.00; I-squared = 0.0%). Gender may exert an influence on the impact of sex on the association between MS multiple sclerosis and suicide, but this requires is controversial and need more further studies to demonstrate.

CONCLUSION

Our meta-analysis shows a significant association between suicide and multiple sclerosis, although ethnic and geographical differences were not considered. These findings should be confirmed and extended in future large studies.

A contemporary study of mortality in the multiple sclerosis population of south east Wales

BACKGROUND

Mortality studies in multiple sclerosis (MS) are valuable to identify changing disease patterns and inform clinical management. This study examines mortality in a British MS cohort.

METHODS

Patients were selected from the southeast Wales MS registry. Hazard of death was analysed using Cox proportional hazards regression, adjusted for onset age, annualised relapse rate, initial disease course, time to EDSS 4.0, sex, socioeconomic status, and onset year. Age- and sex-stratified standardised mortality ratios (SMRs) were calculated by EDSS scores.

RESULTS

Median time from MS diagnosis to death was 35.5 years and median age 73.9. Older onset age (hazard ratio [HR] 1.05, 95% confidence interval 1.03-1.06) was associated with increased hazard of death. Primary progressive course was associated with increased hazard of death in women (HR 2.04, 1.15-3.63) but not men (HR 1.23, 0.61-2.47). Slow time to EDSS 4.0 (HR 0.41, 0.28-0.60) and high socioeconomic status (HR 0.54, 0.37-0.79) were associated with reduced hazard of death. SMR increased from EDSS 6.0 (3.86, 2.63-5.47) but more substantially at EDSS 8.0 (22.17, 18.20-26.75).

CONCLUSIONS

Risk of death in MS varies substantially with degree of disability. This has important implications for clinical management and health economic modelling.