Literature DB >> 17986500

MRI activity and neutralising antibody as predictors of response to interferon beta treatment in multiple sclerosis.

L Durelli1, P Barbero, M Bergui, E Versino, M A Bassano, E Verdun, C Rivoiro, C Ferrero, E Picco, P Ripellino, G Giuliani, E Montanari, M Clerico.   

Abstract

OBJECTIVE: To prospectively validate MRI activity and neutralising anti-interferon antibody (NAb) during the first 6 months of interferon beta treatment as response indicators in multiple sclerosis (MS).
METHODS: Patients with relapsing-remitting MS were followed during the first 2 years of treatment. Neurological assessments were performed every 3 months or when a relapse was suspected. MRI scans performed at baseline and at 3, 4, 5 and 6 months after the start of treatment were assessed centrally for disease activity: new T2 or gadolinium enhancing T1 lesions. NAb were assessed using the MxA protein assay; positivity was defined as two consecutive titres >or=20 NU/ml. We evaluated the predictivity of an active scan, NAb positivity, or both, during the first 6 months of treatment, on the occurrence of clinical disease activity in the following 18 months.
RESULTS: 147 patients were assessed at 16 centres. Predictivity parameters (with confidence intervals) were as follows: active scan, sensitivity (SN) 52% (34-69%), specificity (SP) 80% (65-91%), negative predictive value (NPV) 73% (58-77%), positive predictive value (PPV) 62% (42-79%), p = 0.002; NAb positivity, SN 71% (45-88%), SP 66% (55-76%), NPV 92% (82-97%), PPV 29% (16-45%), p = 0.01; active scan and NAb positivity, SN 71% (38-91%), SP 86% (73-94%), NPV 94% (86-98%), PPV 50% (29-70%), p = 0.0003.
CONCLUSIONS: MRI activity and NAb occurrence during the first 6 months of interferon beta treatment were reliable predictors of long term clinical response, particularly when combined. Patients with negative predictors showed a less than 10% risk of developing clinical activity. Patients with positive predictors showed a 50% risk of further clinical activity. These patients need to be followed carefully with further MRI and NAb tests.

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Year:  2007        PMID: 17986500     DOI: 10.1136/jnnp.2007.130229

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  17 in total

1.  Use of Magnetic Resonance Imaging as Well as Clinical Disease Activity in the Clinical Classification of Multiple Sclerosis and Assessment of Its Course: A Report from an International CMSC Consensus Conference, March 5-7, 2010.

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

Review 2.  Defining Disease Activity and Response to Therapy in MS.

Authors:  Ulrike W Kaunzner; Mais Al-Kawaz; Susan A Gauthier
Journal:  Curr Treat Options Neurol       Date:  2017-05       Impact factor: 3.598

Review 3.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

Review 4.  Unraveling treatment response in multiple sclerosis: A clinical and MRI challenge.

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

5.  Switching therapies in multiple sclerosis.

Authors:  Patricia K Coyle
Journal:  CNS Drugs       Date:  2013-04       Impact factor: 5.749

Review 6.  Assessing treatment response to interferon-β: is there a role for MRI?

Authors:  Ruth Dobson; Richard A Rudick; Ben Turner; Klaus Schmierer; Gavin Giovannoni
Journal:  Neurology       Date:  2013-12-11       Impact factor: 9.910

Review 7.  Determinants of interferon β efficacy in patients with multiple sclerosis.

Authors:  Joep Killestein; Chris H Polman
Journal:  Nat Rev Neurol       Date:  2011-03-01       Impact factor: 42.937

8.  Reliability of classifying multiple sclerosis disease activity using magnetic resonance imaging in a multiple sclerosis clinic.

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

Review 9.  Defining and scoring response to IFN-β in multiple sclerosis.

Authors:  Maria Pia Sormani; Nicola De Stefano
Journal:  Nat Rev Neurol       Date:  2013-07-30       Impact factor: 42.937

10.  Review of interferon beta-1b in the treatment of early and relapsing multiple sclerosis.

Authors:  Damiano Paolicelli; Vita Direnzo; Maria Trojano
Journal:  Biologics       Date:  2009-07-13
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