Clinical Profile and the Extent of Disability in Multiple Sclerosis Patients in Madinah, Saudi Arabia

Objectives: The objective is to study the demographics and clinical characteristics of Saudi multiple sclerosis (MS) patients in Madinah, Saudi Arabia, and assess their extent of disability using the Expanded Disability Status Scale (EDSS).

Methods: This hospital-based study intended to address the population of all MS-diagnosed patients registered between 2018 and 2021 in the Neurology Department of King Fahad Hospital in the Madinah region. Data were gathered from medical records and by interviewing participants in the Neurology Clinic. The chi-square test and linear and logistic regression were applied to draw inferences.

Results: A total of 195 MS-diagnosed patients were included in the analysis. Of these, 72.3% were female. The mean age of the total sample was 34.9±9.2 years, and 7.7% reported a positive family history. Of all patients, 17.9% (n=35) had comorbidities. The mean age at diagnosis was 29.3±8.2 years. The majority (85.6%) were diagnosed with relapsing-remitting multiple sclerosis (RRMS); 77.9% had an EDSS score between 0.0 and 1.5, showing little or no disability. A statistical significance existed between EDSS and the current age of the patients (p=0.004), age at onset (p=0.007), type of MS (p=0.000), presence of muscle weakness (p=0.044), bladder or bowel difficulties at onset (p=0.043), and the duration of MS (p=0.000). Of the patients, 23.6% were not using disease-modifying therapy (DMT). The most commonly used drug was interferon beta 1-b.

Conclusion: A lower EDSS was associated with younger age, diagnosis at a younger age, RRMS, duration less than five years, and lower body mass index (BMI). To increase the generalizability of findings, a national MS registry system and further prospective analytical epidemiological research studies are recommended.

The role of body fat in multiple sclerosis susceptibility and severity: A Mendelian randomisation study

OBJECTIVE

The objective of this study was to explore the potential causal associations of body mass index, height, weight, fat mass, fat percentage and non-fat mass in the whole body, arms, legs and trunk (henceforth, 'anthropometric measures') with multiple sclerosis (MS) risk and severity. We also investigated the potential for reverse causation between anthropometric measures and MS risk.

METHODS

We conducted a two-sample univariable, multivariable and bidirectional Mendelian randomisation (MR) analysis.

RESULTS

A range of features linked to obesity (body mass index, weight, fat mass and fat percentage) were risk factors for MS development and worsened the disease's severity in MS patients. Interestingly, we were able to demonstrate that height and non-fat mass have no association with MS risk or MS severity. We demonstrated that the association between anthropometric measures and MS is not subject to bias from reverse causation.

CONCLUSIONS

Our findings provide evidence from human genetics that a range of features linked to obesity is an important contributor to MS development and MS severity, but height and non-fat mass are not. Importantly, these findings also identify a potentially modifiable factor that may reduce the accumulation of further disability and ameliorate MS severity.