Multiple Sclerosis Diagnostic Criteria: Moving Ahead or Walking in Place?

A Global, Regional, and National Survey on Burden and Quality of Care Index of Multiple Sclerosis: Global Burden of Disease Systematic Analysis 1990-2019

BACKGROUND

Multiple sclerosis (MS) is a common neurologic autoimmune disorder. We have used a newly introduced measure, Quality of Care Index (QCI), which is associated with the efficacy of care given to patients suffering from MS.

OBJECTIVES

The aims of the study were to report and compare the quality of care given to MS patients in different regions and country.

METHODS

Primary measures were retrieved from Global Burden of Disease (GBD) from 1990 to 2019. Secondary measures (mortality-to-incidence ratio, DALY-to-prevalence ratio, prevalence-to-incidence ratio, and YLL-to-YLD ratio) were combined using principal component analysis, to form an essential component (QCI) (0-100 index with higher values representing better condition).

RESULTS

In 2019, there were 59,345 (95% UI: 51,818-66,943) new MS incident cases globally. Global QCI of 88.4 was calculated for 2019. At national level, Qatar had the highest quality of care (100) followed by Kuwait (98.5) and Greenland (98.1). The lowest QCI was observed in Kiribati (13.5), Nauru (31.5), and Seychelles (36.3), respectively. Most countries have reached gender equity during the 30 years. Also, QCI was lowest in ages from 55 to 80 in global scale.

CONCLUSION

MS QCI is better among those countries of higher socioeconomic status, possibly due to better healthcare access and early detection in these regions. Countries could benefit from adopting the introduced QCI to evaluate the quality of care given to MS patients at national and global level.

The Brave New World of Early Treatment of Multiple Sclerosis: Using the Molecular Biomarkers CXCL13 and Neurofilament Light to Optimize Immunotherapy

Multiple sclerosis (MS) is a highly heterogeneous disease involving a combination of inflammation, demyelination, and CNS injury. It is the leading cause of non-traumatic neurological disability in younger people. There is no cure, but treatments in the form of immunomodulatory drugs (IMDs) are available. Experience over the last 30 years has shown that IMDs, also sometimes called disease-modifying therapies, are effective in downregulating neuroinflammatory activity. However, there are a number of negatives in IMD therapy, including potential for significant side-effects and adverse events, uncertainty about long-term benefits regarding disability outcomes, and very high and increasing financial costs. The two dozen currently available FDA-approved IMDs also are heterogeneous with respect to efficacy and safety, especially long-term safety, and determining an IMD treatment strategy is therefore challenging for the clinician. Decisions about optimal therapy have been particularly difficult in early MS, at the time of the initial clinical demyelinating event (ICDE), at a time when early, aggressive treatment would best be initiated on patients destined to have a highly inflammatory course. However, given the fact that the majority of ICDE patients have a more benign course, aggressive immunosuppression, with its attendant risks, should not be administered to this group, and should only be reserved for patients with a more neuroinflammatory course, a decision that can only be made in retrospect, months to years after the ICDE. This quandary of moderate vs. aggressive therapy facing clinicians would best be resolved by the use of biomarkers that are predictive of future neuroinflammation. Unfortunately, biomarkers, especially molecular biomarkers, have not thus far been particularly useful in assisting clinicians in predicting the likelihood of future neuroinflammation, and thus guiding therapy. However, the last decade has seen the emergence of two highly promising molecular biomarkers to guide therapy in early MS: the CXCL13 index and neurofilament light. This paper will review the immunological and neuroscientific underpinnings of these biomarkers and the data supporting their use in early MS and will propose how they will likely be used to maximize benefit and minimize risk of IMDs in MS patients.