Literature DB >> 16505315

Clinically isolated syndromes: a new oligoclonal band test accurately predicts conversion to MS.

J Masjuan1, J C Alvarez-Cermeño, N García-Barragán, M Díaz-Sánchez, M Espiño, M C Sádaba, P González-Porqué, J Martínez San Millán, L M Villar.   

Abstract

BACKGROUND: Patients with a clinically isolated demyelinating syndrome (CIS) are at risk of developing a second attack, thus converting into clinically definite multiple sclerosis (CDMS). Therefore, an accurate prognostic marker for that conversion might allow early treatment. Brain MRI and oligoclonal IgG band (OCGB) detection are the most frequent paraclinical tests used in MS diagnosis. A new OCGB test has shown high sensitivity and specificity in differential diagnosis of MS.
OBJECTIVE: To evaluate the accuracy of the new OCGB method and of current MRI criteria (MRI-C) to predict conversion of CIS to CDMS.
METHODS: Fifty-two patients with CIS were studied with OCGB detection and brain MRI, and followed up for 6 years. The sensitivity and specificity of both methods to predict conversion to CDMS were analyzed.
RESULTS: OCGB detection showed a sensitivity of 91.4% and specificity of 94.1%. MRI-C had a sensitivity of 74.23% and specificity of 88.2%. The presence of either OCGB or MRI-C studied simultaneously showed a sensitivity of 97.1% and specificity of 88.2%.
CONCLUSIONS: The presence of oligoclonal IgG bands is highly specific and sensitive for early prediction of conversion to multiple sclerosis. MRI criteria have a high specificity but less sensitivity. The simultaneous use of both tests shows high sensitivity and specificity in predicting clinically isolated demyelinating syndrome conversion to clinically definite multiple sclerosis.

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Year:  2006        PMID: 16505315     DOI: 10.1212/01.wnl.0000198253.35119.83

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  24 in total

1.  Elevated levels of kappa free light chains in CSF support the diagnosis of multiple sclerosis.

Authors:  Stefan Presslauer; Dejan Milosavljevic; Thomas Brücke; Peter Bayer; Wolfgang Hübl; Walter Hübl
Journal:  J Neurol       Date:  2008-07-17       Impact factor: 4.849

2.  Multiple sclerosis: Genetic variability affects CNS IgG production in MS.

Authors:  Jose C Álvarez-Cermeño; Luisa M Villar
Journal:  Nat Rev Neurol       Date:  2015-04-14       Impact factor: 42.937

3.  Natural killer cell subsets in cerebrospinal fluid of patients with multiple sclerosis.

Authors:  E Rodríguez-Martín; C Picón; L Costa-Frossard; R Alenda; S Sainz de la Maza; E Roldán; M Espiño; L M Villar; J C Álvarez-Cermeño
Journal:  Clin Exp Immunol       Date:  2015-05       Impact factor: 4.330

4.  Multiple sclerosis: Oligoclonal bands--a useful tool to avoid MS misdiagnosis.

Authors:  José C Álvarez-Cermeño; Luisa M Villar
Journal:  Nat Rev Neurol       Date:  2013-04-16       Impact factor: 42.937

Review 5.  Cerebrospinal fluid analysis and the determination of oligoclonal bands.

Authors:  Matteo Gastaldi; Elisabetta Zardini; Rosaria Leante; Maddalena Ruggieri; Gianna Costa; Eleonora Cocco; Giovanna De Luca; Ivana Cataldo; Tiziana Biagioli; Clara Ballerini; Massimiliano Castellazzi; Enrico Fainardi; Paola Pettini; Mauro Zaffaroni; Debora Giunti; Elisabetta Capello; Gaetano Bernardi; Emilio Ciusani; Claudia Giannotta; Eduardo Nobile-Orazio; Elena Bazzigaluppi; Gabriella Passerini; Roberta Bedin; Patrizia Sola; Rinaldo Brivio; Guido Cavaletti; Arianna Sala; Antonio Bertolotto; Gaetano Desina; Maurizio A Leone; Sara Mariotto; Sergio Ferrari; Andreina Paternoster; Davide Giavarina; Francesco Lolli; Diego Franciotta
Journal:  Neurol Sci       Date:  2017-10       Impact factor: 3.307

6.  Oligoclonal bands and MRI in clinically isolated syndromes: predicting conversion time to multiple sclerosis.

Authors:  Rojas Juan Ignacio; Patrucco Liliana; Cristiano Edgardo
Journal:  J Neurol       Date:  2010-02-16       Impact factor: 4.849

7.  Assessing the value of spinal cord lesions in predicting development of multiple sclerosis in patients with clinically isolated syndromes.

Authors:  L Patrucco; J I Rojas; E Cristiano
Journal:  J Neurol       Date:  2011-12-17       Impact factor: 4.849

8.  Updates on clinically isolated syndrome and diagnostic criteria for multiple sclerosis.

Authors:  Jacqueline F Marcus; Emmanuelle L Waubant
Journal:  Neurohospitalist       Date:  2013-04

Review 9.  Neurofilament Light Chain as a Biomarker, and Correlation with Magnetic Resonance Imaging in Diagnosis of CNS-Related Disorders.

Authors:  Zahra Alirezaei; Mohammad Hossein Pourhanifeh; Sarina Borran; Majid Nejati; Hamed Mirzaei; Michael R Hamblin
Journal:  Mol Neurobiol       Date:  2019-08-05       Impact factor: 5.590

10.  Clinical predictors of early second event in patients with clinically isolated syndrome.

Authors:  Ellen M Mowry; Mila Pesic; Barbara Grimes; Serina R Deen; Peter Bacchetti; Emmanuelle Waubant
Journal:  J Neurol       Date:  2009-03-01       Impact factor: 4.849

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