Introduction: Cladribine tablets are an effective treatment for relapsing remitting multiple sclerosis (RRMS). However, almost half of the treated patients are not free of disease activity after two years. The aim of this study was to describe the changes that cladribine tablets effectuate in the gut and oral microbiota and the peripheral immunological profile between responders and non-responders.
View Article and Find Full Text PDFRecent studies have shown promising sacral neuromodulation (SNM) results in neurogenic overactive bladder caused by multiple sclerosis. In the first half of 2025 we aim to start including patients in a multicentre, randomised controlled trial to test the hypothesis that SNM has a therapeutic benefit in this setting.
View Article and Find Full Text PDFCalophyllum brasiliense is employed in folk medicine as an analgesic and to treat inflammation. This study aimed to evaluate the anti-inflammatory effect of C. brasiliense leaves' methanol extract, fractions, and the isolated compound amentoflavone.
View Article and Find Full Text PDFPredicting long-term prognosis and choosing the appropriate therapeutic approach in patients with Multiple Sclerosis (MS) at the time of diagnosis is crucial in view of a personalized medicine. We investigated the impact of early therapeutic response on the 5-year prognosis of patients with relapsing-remitting MS (RRMS). We recruited patients from MSBase Registry covering the period between 1996 and 2022.
View Article and Find Full Text PDFComput Methods Programs Biomed
May 2025
Background: Prognostic machine learning research in multiple sclerosis has been mainly focusing on black-box models predicting whether a patients' disability will progress in a fixed number of years. However, as this is a binary yes/no question, it cannot take individual disease severity into account. Therefore, in this work we propose to model the time to disease progression instead.
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