Literature DB >> 15956157

Recommended standard of cerebrospinal fluid analysis in the diagnosis of multiple sclerosis: a consensus statement.

Mark S Freedman1, Edward J Thompson, Florian Deisenhammer, Gavin Giovannoni, Guy Grimsley, Geoffrey Keir, Sten Ohman, Michael K Racke, Mohammad Sharief, Christian J M Sindic, Finn Sellebjerg, Wallace W Tourtellotte.   

Abstract

New criteria for the diagnosis of multiple sclerosis (MS) were published as the result of an internationally formed committee. To increase the specificity of diagnosis and to minimize the number of false diagnoses, the committee recommended the use of both clinical and paraclinical criteria, the latter involving information obtained from magnetic resonance imaging, evoked potentials, and cerebrospinal fluid (CSF) analysis. Although rigorous magnetic resonance imaging requirements were provided, the "new criteria paper" fell short in terms of guidelines as to how the CSF analysis should be performed and simply equated the IgG index with isoelectric focusing, without any justification. The spectrum of parameters analyzed and methods for CSF analysis differ worldwide and often yield variable results in terms of sensitivity, specificity, accuracy, and reliability, with no decided "optimal" CSF test for the diagnosis of MS. To address this question specifically, an international panel of experts in MS and CSF diagnostic techniques was convened and the result was this article, representing a consensus of all the participants. These recommendations for establishing a standard for the evaluation of CSF in patients suspected of having MS should greatly complement the new criteria in ensuring that a correct diagnosis of MS is being made.

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Year:  2005        PMID: 15956157     DOI: 10.1001/archneur.62.6.865

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  123 in total

1.  Protective associations of HDL with blood-brain barrier injury in multiple sclerosis patients.

Authors:  Kelly Fellows; Tomas Uher; Richard W Browne; Bianca Weinstock-Guttman; Dana Horakova; Helena Posova; Manuela Vaneckova; Zdenek Seidl; Jan Krasensky; Michaela Tyblova; Eva Havrdova; Robert Zivadinov; Murali Ramanathan
Journal:  J Lipid Res       Date:  2015-08-04       Impact factor: 5.922

2.  [Revision of McDonald's new diagnostic criteria for multiple sclerosis].

Authors:  H Wiendl; B C Kieseier; R Gold; R Hohlfeld; M Bendszus; H-P Hartung
Journal:  Nervenarzt       Date:  2006-10       Impact factor: 1.214

3.  Iron and the folate-vitamin B12-methylation pathway in multiple sclerosis.

Authors:  S J van Rensburg; M J Kotze; D Hon; P Haug; J Kuyler; M Hendricks; J Botha; F C V Potocnik; T Matsha; R T Erasmus
Journal:  Metab Brain Dis       Date:  2006-05-26       Impact factor: 3.584

4.  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

5.  A multicenter study on the diagnostic significance of a single cerebrospinal fluid IgG band.

Authors:  Diana Ferraro; Diego Franciotta; Roberta Bedin; Claudio Solaro; Eleonora Cocco; Mario Santangelo; Paolo Immovilli; Alberto Gajofatto; Massimiliano Calabrese; Massimiliano Di Filippo; Riccardo Orlandi; Anna Maria Simone; Francesca Vitetta; Elisabetta Capello; Debora Giunti; Alessandra Murialdo; Jessica Frau; Sara Mariotto; Antongiulio Gallina; Claudio Gasperini; Patrizia Sola
Journal:  J Neurol       Date:  2017-04-05       Impact factor: 4.849

Review 6.  Misdiagnosis of multiple sclerosis: Impact of the 2017 McDonald criteria on clinical practice.

Authors:  Andrew J Solomon; Robert T Naismith; Anne H Cross
Journal:  Neurology       Date:  2018-10-31       Impact factor: 9.910

Review 7.  The utility of cerebrospinal fluid analysis in patients with multiple sclerosis.

Authors:  Martin Stangel; Sten Fredrikson; Edgar Meinl; Axel Petzold; Olaf Stüve; Hayrettin Tumani
Journal:  Nat Rev Neurol       Date:  2013-03-26       Impact factor: 42.937

8.  Regulatory genomic regions active in immune cell types explain a large proportion of the genetic risk of multiple sclerosis.

Authors:  Ramyiadarsini I Elangovan; Giulio Disanto; Antonio J Berlanga-Taylor; Sreeram V Ramagopalan; Lahiru Handunnetthi
Journal:  J Hum Genet       Date:  2014-02-13       Impact factor: 3.172

9.  A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking.

Authors:  C E Teunissen; A Petzold; J L Bennett; F S Berven; L Brundin; M Comabella; D Franciotta; J L Frederiksen; J O Fleming; R Furlan; R Q Hintzen; S G Hughes; M H Johnson; E Krasulova; J Kuhle; M C Magnone; C Rajda; K Rejdak; H K Schmidt; V van Pesch; E Waubant; C Wolf; G Giovannoni; B Hemmer; H Tumani; F Deisenhammer
Journal:  Neurology       Date:  2009-12-01       Impact factor: 9.910

10.  Anti-alpha-glucose-based glycan IgM antibodies predict relapse activity in multiple sclerosis after the first neurological event.

Authors:  M S Freedman; J Laks; N Dotan; R T Altstock; A Dukler; C J M Sindic
Journal:  Mult Scler       Date:  2009-04       Impact factor: 6.312

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