3 research outputs found

    Assessing association of comorbidities with treatment choice and persistence in MS: A real-life multicenter study

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    OBJECTIVE: To assess whether the presence of concomitant diseases at multiple sclerosis (MS) diagnosis is associated with the choice and the treatment persistence in an Italian MS cohort.METHODS: We included newly diagnosed patients (2010-2016) followed in 20 MS centers and collected demographic and clinical data. We evaluated baseline factors related to the presence of comorbidities and the association between comorbidities and the clinical course of MS and the time to the first treatment switch.RESULTS: The study cohort included 2,076 patients. Data on comorbidities were available for 1,877/2,076 patients (90.4%). A total of 449/1,877 (23.9%) patients had at least 1 comorbidity at MS diagnosis. Age at diagnosis (odds ratio 1.05, 95% confidence interval [CI] 1.04-1.06; p < 0.001) was the only baseline factor independently related to the presence of comorbidities. Comorbidities were not significantly associated with the choice of the first disease-modifying treatment, but were significantly associated with higher risk to switch from the first treatment due to intolerance (hazard ratio 1.42, CI 1.07-1.87; p = 0.014). Association of comorbidities with risk of switching for intolerance was significantly heterogeneous among treatments (interferon \uce\ub2, glatiramer acetate, natalizumab, or fingolimod; interaction test, p = 0.04).CONCLUSIONS: Comorbidities at diagnosis should be taken into account at the first treatment choice because they are associated with lower persistence on treatment

    Determinants of therapy switch in multiple sclerosis treatment-na\uefve patients: A real-life study

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    Background: With many options now available, first therapy choice is challenging in multiple sclerosis (MS) and depends mainly on neurologist and patient preferences. Objectives: To identify prognostic factors for early switch after first therapy choice. Methods: Newly diagnosed relapsing\u2013remitting MS patients from 24 Italian centers were included. We evaluated the association of baseline demographics, clinical, and magnetic resonance imaging (MRI) data to the switch probability for lack of efficacy or intolerance/safety with a multivariate Cox analysis and estimated switch rates by competing risks models. Results: We enrolled 3025 patients. The overall switch frequency was 48% after 3 years. Switch risk for lack of efficacy was lower with fingolimod (hazard ratio (HR) = 0.50; p = 0.009), natalizumab (HR = 0.13; p < 0.001), dimethyl-fumarate (HR = 0.60; p = 0.037), teriflunomide (HR = 0.21; p = 0.031) as compared to interferons. Younger age (HR = 0.96; p < 0.001), diagnosis delay (HR = 1.23; p = 0.021), higher baseline Expanded Disability Status Scale (HR = 1.17; p = 0.001), and spinal cord lesions (HR = 1.46; p = 0.001) were independently associated with higher inefficacy switch rates. We found lower switch for intolerance/safety with glatiramer acetate (HR = 0.61; p = 0.001), fingolimod (HR = 0.35; p = 0.002), and dimethyl-fumarate (HR = 0.57; p = 0.022) as compared to interferons, while it increased with natalizumab (HR = 1.43; p = 0.022). Comorbidities were associated with intolerance switch (HR = 1.28; p = 0.047). Conclusion: Several factors are associated with higher switch risk in patients starting a first-line therapy and could be integrated in the decision-making process of first treatment choice
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