Radiological Benefits of Vitamin D Status and Supplementation in Patients with MS-A Two-Year Prospective Observational Cohort Study.
Weronika GalusTomasz ChmielaAnna Walawska-HrycekEwa KrzystanekPublished in: Nutrients (2023)
Current data emphasize the immunomodulating role of vitamin D in enhancing the anti-inflammatory response. Vitamin D deficiency is an established risk factor for developing multiple sclerosis-the autoimmune demyelinating and degenerative disease of the central nervous system. Several studies confirmed that higher vitamin D serum level is associated with better clinical and radiological outcomes in patients with multiple sclerosis, whereas vitamin D supplementation benefits in multiple sclerosis remain inconclusive. Despite that, many experts suggest regular measurements of vitamin D serum levels and supplementation in patients with multiple sclerosis. In this study, 133 patients with multiple sclerosis (relapsing-remitting subtype) were prospectively observed in a 0-, 12- and 24-month time span in a clinical setting. The study group consisted of 71.4% of patients (95 out of 133) supplementing vitamin D. The associations between vitamin D serum levels, clinical outcomes (disability status expressed by EDSS, number of relapses and time to relapse) and radiological outcomes (new T2-weighted lesions and number of gadolinium-enhanced lesions) were evaluated. There were no statistically significant correlations between clinical outcomes and vitamin D serum levels or supplementations. Fewer new T2-weighted lesions were observed in patients with vitamin D supplementations ( p = 0.034) in 24 months of observation. Moreover, an optimal or higher level of vitamin D (>30 ng/mL) maintained throughout the entire observation period was associated with a lower number of new T2-weighted lesions in 24 months of observation ( p = 0.045). These results support vitamin D implementation commencement and amelioration in patients with multiple sclerosis.
Keyphrases
- multiple sclerosis
- inflammatory response
- magnetic resonance
- computed tomography
- type diabetes
- healthcare
- contrast enhanced
- mass spectrometry
- magnetic resonance imaging
- metabolic syndrome
- lps induced
- end stage renal disease
- chronic kidney disease
- primary care
- newly diagnosed
- quality improvement
- artificial intelligence
- insulin resistance
- patient reported outcomes
- network analysis
- patient reported