BACKGROUND AND OBJECTIVE: Several criteria for treatment response to interferon beta (IFNbeta) have been proposed, although there is no consensus among different investigators. Hence, the aim of this study was to investigate magnetic resonance imaging (MRI) and clinical predictors of response during the first 12 months of therapy. METHODS: This is a prospective and longitudinal study of relapsing-remitting multiple sclerosis (RRMS) patients treated with IFNbeta. Patients were classified based on the presence of new lesions on MRI, relapses, confirmed disability increase, or combinations of all these variables after 1 year of therapy. Regression analysis was performed in order to identify variables of response after a follow-up of 3 years. RESULTS: We included 222 RRMS patients. The logistic model demonstrated that only the combination of new active lesions on MRI with the presence of relapses (OR 4.4; 95% CI 1.6-12.5) or disability progression (Odds Ratio (OR) 7.1; 95% Confidence Interval (CI) 1.6-33.9), or both (OR 6.5; 95% CI 1.9-23.4) achieved significant values to identify those patients with a poor outcome. CONCLUSIONS: In RRMS patients treated with IFNbeta, the combination of measures of disease activity and the presence of new active lesions on MRI may have a prognostic value for identifying patients with disease activity in the second and third year of therapy.
BACKGROUND AND OBJECTIVE: Several criteria for treatment response to interferon beta (IFNbeta) have been proposed, although there is no consensus among different investigators. Hence, the aim of this study was to investigate magnetic resonance imaging (MRI) and clinical predictors of response during the first 12 months of therapy. METHODS: This is a prospective and longitudinal study of relapsing-remitting multiple sclerosis (RRMS) patients treated with IFNbeta. Patients were classified based on the presence of new lesions on MRI, relapses, confirmed disability increase, or combinations of all these variables after 1 year of therapy. Regression analysis was performed in order to identify variables of response after a follow-up of 3 years. RESULTS: We included 222 RRMS patients. The logistic model demonstrated that only the combination of new active lesions on MRI with the presence of relapses (OR 4.4; 95% CI 1.6-12.5) or disability progression (Odds Ratio (OR) 7.1; 95% Confidence Interval (CI) 1.6-33.9), or both (OR 6.5; 95% CI 1.9-23.4) achieved significant values to identify those patients with a poor outcome. CONCLUSIONS: In RRMS patients treated with IFNbeta, the combination of measures of disease activity and the presence of new active lesions on MRI may have a prognostic value for identifying patients with disease activity in the second and third year of therapy.
Authors: Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman Journal: Nat Rev Neurol Date: 2015-09-15 Impact factor: 42.937
Authors: Maria Trojano; Mar Tintore; Xavier Montalban; Jan Hillert; Tomas Kalincik; Pietro Iaffaldano; Tim Spelman; Maria Pia Sormani; Helmut Butzkueven Journal: Nat Rev Neurol Date: 2017-01-13 Impact factor: 42.937
Authors: Stuart D Cook; Suhayl Dhib-Jalbut; Peter Dowling; Luca Durelli; Corey Ford; Gavin Giovannoni; June Halper; Colleen Harris; Joseph Herbert; David Li; John A Lincoln; Robert Lisak; Fred D Lublin; Claudia F Lucchinetti; Wayne Moore; Robert T Naismith; Carlos Oehninger; Jack Simon; Maria Pia Sormani Journal: Int J MS Care Date: 2012
Authors: Claudio Gasperini; Luca Prosperini; Mar Tintoré; Maria Pia Sormani; Massimo Filippi; Jordi Rio; Jacqueline Palace; Maria A Rocca; Olga Ciccarelli; Frederik Barkhof; Jaume Sastre-Garriga; Hugo Vrenken; Jette L Frederiksen; Tarek A Yousry; Christian Enzinger; Alex Rovira; Ludwig Kappos; Carlo Pozzilli; Xavier Montalban; Nicola De Stefano Journal: Neurology Date: 2018-12-26 Impact factor: 9.910