BACKGROUND AND PURPOSE: To define the predictive value of clinical and magnetic resonance imaging (MRI) characteristics in identifying relapsing-remitting multiple sclerosis (RR-MS) patients with sustained disability progression during interferon beta (IFNB) treatment. METHODS: All patients receiving treatment with one of the available IFNB formulations for at least 1 year were included in this single-centre, prospective and post-marketing study. Demographic, clinical and MRI data were collected at IFNB start and at 1 year of therapy; patients were followed-up at least yearly. Poor clinical response was defined as the occurrence of a sustained disability progression of > or =1 point in the Expanded Disability Status Scale (EDSS) during the follow-up period. RESULTS: Out of 454 RR-MS patients starting IFNB therapy, data coming from 394 patients with a mean follow-up of 4.8 (2.4) years were analysed. Sixty patients were excluded because of too short follow-up. Less than 1/3 (30.4%) of the patients satisfied the criterion of 'poor responders'. Patients presenting new lesions on T2-weighted MRI scan after 1 year of therapy (compared with baseline) had a higher risk of being poor responder to treatment with IFNB during the follow-up period (HR 16.8, 95% CI 7.6-37.1, P < 0.001). An augmented risk increasing the number of lesions was observed, with a 10-fold increase for each new lesion. CONCLUSIONS: Developing new T2-hyperintense lesions during IFNB treatment was the best predictor of long-term poor response to therapy. MRI scans performed after 1 year of IFNB treatment may be useful in contributing to early identification of poor responders.
BACKGROUND AND PURPOSE: To define the predictive value of clinical and magnetic resonance imaging (MRI) characteristics in identifying relapsing-remitting multiple sclerosis (RR-MS) patients with sustained disability progression during interferon beta (IFNB) treatment. METHODS: All patients receiving treatment with one of the available IFNB formulations for at least 1 year were included in this single-centre, prospective and post-marketing study. Demographic, clinical and MRI data were collected at IFNB start and at 1 year of therapy; patients were followed-up at least yearly. Poor clinical response was defined as the occurrence of a sustained disability progression of > or =1 point in the Expanded Disability Status Scale (EDSS) during the follow-up period. RESULTS: Out of 454 RR-MS patients starting IFNB therapy, data coming from 394 patients with a mean follow-up of 4.8 (2.4) years were analysed. Sixty patients were excluded because of too short follow-up. Less than 1/3 (30.4%) of the patients satisfied the criterion of 'poor responders'. Patients presenting new lesions on T2-weighted MRI scan after 1 year of therapy (compared with baseline) had a higher risk of being poor responder to treatment with IFNB during the follow-up period (HR 16.8, 95% CI 7.6-37.1, P < 0.001). An augmented risk increasing the number of lesions was observed, with a 10-fold increase for each new lesion. CONCLUSIONS: Developing new T2-hyperintense lesions during IFNB treatment was the best predictor of long-term poor response to therapy. MRI scans performed after 1 year of IFNB treatment may be useful in contributing to early identification of poor responders.
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
Authors: Riley Bove; Tanuja Chitnis; Bruce Ac Cree; Mar Tintoré; Yvonne Naegelin; Bernard Mj Uitdehaag; Ludwig Kappos; Samia J Khoury; Xavier Montalban; Stephen L Hauser; Howard L Weiner Journal: Mult Scler Date: 2017-08-29 Impact factor: 6.312
Authors: Edru Erbayat Altay; Elizabeth Fisher; Stephen E Jones; Claire Hara-Cleaver; Jar-Chi Lee; Richard A Rudick Journal: JAMA Neurol Date: 2013-03-01 Impact factor: 18.302