Background: Few studies have analysed long-term effects of immunomodulatory disease modifying drugs (DMDs).Objective: Assessment of the efficacy of DMDs on long-term evolution of multiple sclerosis, using a Bayesian approach to overcome methodological problems related to open-label studies.Methods: MS patients from three different Italian multiple sclerosis centres were divided into subgroups according to the presence of treatment in their disease history before the endpoint, which was represented by secondary progression. Patients were stratified on the basis of the risk score BREMS (Bayesian risk estimate for multiple sclerosis), which is able to predict the unfavourable long-term evolution of MS at an early stage.Results: We analysed data from 1178 patients with a relapsing form of multiple sclerosis at onset and at least 10 years of disease duration, treated (59%) or untreated with DMDs. The risk of secondary progression was significantly lower in patients treated with DMDs, regardless of the initial prognosis predicted by BREMS.Conclusions: DMDs significantly reduce the risk of multiple sclerosis progression both in patients with initial high-risk and patients with initial low-risk. These findings reinforce the role of DMDs in modifying the natural course of the disease, suggesting that they have a positive effect not only on the inflammatory but also on the neurodegenerative process. The study also confirms the capability of the BREMS score to predict MS evolution

Immunomodulatory therapies delay disease progression in multiple sclerosis

QUAGLINI, SILVANA;
2012-01-01

Abstract

Background: Few studies have analysed long-term effects of immunomodulatory disease modifying drugs (DMDs).Objective: Assessment of the efficacy of DMDs on long-term evolution of multiple sclerosis, using a Bayesian approach to overcome methodological problems related to open-label studies.Methods: MS patients from three different Italian multiple sclerosis centres were divided into subgroups according to the presence of treatment in their disease history before the endpoint, which was represented by secondary progression. Patients were stratified on the basis of the risk score BREMS (Bayesian risk estimate for multiple sclerosis), which is able to predict the unfavourable long-term evolution of MS at an early stage.Results: We analysed data from 1178 patients with a relapsing form of multiple sclerosis at onset and at least 10 years of disease duration, treated (59%) or untreated with DMDs. The risk of secondary progression was significantly lower in patients treated with DMDs, regardless of the initial prognosis predicted by BREMS.Conclusions: DMDs significantly reduce the risk of multiple sclerosis progression both in patients with initial high-risk and patients with initial low-risk. These findings reinforce the role of DMDs in modifying the natural course of the disease, suggesting that they have a positive effect not only on the inflammatory but also on the neurodegenerative process. The study also confirms the capability of the BREMS score to predict MS evolution
2012
Medical Research, Diagnosis & Treatment contains studies of existing and developing diagnostic and therapeutic techniques, as well as specific classes of clinical intervention. Resources in this category emphasize the difference between normal and disease states, with the ultimate goal of more effective diagnosis and intervention. Specific areas of interest include pathology and histochemical analysis of tissue, clinical chemistry and biochemical analysis of medical samples, diagnostic imaging, radiology and radiation, surgical research, anesthesiology and anesthesia, transplantation, artificial tissues, and medical implants. Resources focused on the disease, diagnosis, and treatment of specific organs or physiological systems are excluded and are covered in the Medical Research: Organs & Systems category.
Esperti anonimi
Inglese
Internazionale
STAMPA
multiple sclerosis; survival analysis; time-variant predictors
13
info:eu-repo/semantics/article
262
Bergamaschi, R.; Quaglini, Silvana; Tavazzi, E.; Amato, M. P.; Paolicelli, D.; Zipoli, V.; Romani, A.; Tortorella, C.; Portaccio, E.; D'Onghia, M.; Ga...espandi
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/459628
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