Literature DB >> 30381369

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

Andrew J Solomon1, Robert T Naismith2, Anne H Cross2.   

Abstract

Misdiagnosis of multiple sclerosis (MS) (the incorrect assignment of a diagnosis of MS) remains a problem in contemporary clinical practice. Studies indicate that misdiagnosed patients are often exposed to prolonged unnecessary health care risks and morbidity. The recently published 2017 revision of the McDonald criteria for the diagnosis of MS provides an opportunity to consider the effect of these revisions on the problem of MS misdiagnosis. The 2017 McDonald criteria include several new recommendations to reduce potential for misdiagnoses. The criteria should be used for the types of patients in which validation studies were performed, specifically those patients who present with typical demyelinating syndromes. MRI lesion characteristics were defined for which McDonald criteria would be expected to perform with accuracy. However, 2017 revisions, which now include assessment for cortical lesions, and the inclusion of symptomatic lesions and positive oligoclonal bands for the fulfillment of diagnostic criteria, may have the potential to lead to misdiagnosis of MS if not applied appropriately. While the 2017 McDonald criteria integrate issues relating to MS misdiagnosis and incorporate specific recommendations for its prevention more prominently than prior criteria, the interpretation of clinical and radiologic assessments upon which these criteria depend will continue to allow misdiagnoses. In patients with atypical clinical presentations, the revised McDonald criteria may not be readily applied. In those situations, further evaluation or monitoring rather than immediate diagnosis of MS is prudent.
© 2018 American Academy of Neurology.

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Year:  2018        PMID: 30381369      PMCID: PMC6336166          DOI: 10.1212/WNL.0000000000006583

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


  58 in total

1.  Intracortical lesions: relevance for new MRI diagnostic criteria for multiple sclerosis.

Authors:  M Filippi; M A Rocca; M Calabrese; M P Sormani; F Rinaldi; P Perini; G Comi; P Gallo
Journal:  Neurology       Date:  2010-11-30       Impact factor: 9.910

2.  Prediction of a multiple sclerosis diagnosis in patients with clinically isolated syndrome using the 2016 MAGNIMS and 2010 McDonald criteria: a retrospective study.

Authors:  Massimo Filippi; Paolo Preziosa; Alessandro Meani; Olga Ciccarelli; Sarlota Mesaros; Alex Rovira; Jette Frederiksen; Christian Enzinger; Frederik Barkhof; Claudio Gasperini; Wallace Brownlee; Jelena Drulovic; Xavier Montalban; Stig P Cramer; Alexander Pichler; Marloes Hagens; Serena Ruggieri; Vittorio Martinelli; Katherine Miszkiel; Mar Tintorè; Giancarlo Comi; Iris Dekker; Bernard Uitdehaag; Irena Dujmovic-Basuroski; Maria A Rocca
Journal:  Lancet Neurol       Date:  2017-12-21       Impact factor: 44.182

Review 3.  Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria.

Authors:  Alan J Thompson; Brenda L Banwell; Frederik Barkhof; William M Carroll; Timothy Coetzee; Giancarlo Comi; Jorge Correale; Franz Fazekas; Massimo Filippi; Mark S Freedman; Kazuo Fujihara; Steven L Galetta; Hans Peter Hartung; Ludwig Kappos; Fred D Lublin; Ruth Ann Marrie; Aaron E Miller; David H Miller; Xavier Montalban; Ellen M Mowry; Per Soelberg Sorensen; Mar Tintoré; Anthony L Traboulsee; Maria Trojano; Bernard M J Uitdehaag; Sandra Vukusic; Emmanuelle Waubant; Brian G Weinshenker; Stephen C Reingold; Jeffrey A Cohen
Journal:  Lancet Neurol       Date:  2017-12-21       Impact factor: 44.182

4.  Multiple sclerosis: Rapid diagnosis or right diagnosis?

Authors:  Aaron E Miller; Daniel Pelletier
Journal:  Neurology       Date:  2016-07-15       Impact factor: 9.910

5.  Clinical presentation and prognosis in MOG-antibody disease: a UK study.

Authors:  Maciej Jurynczyk; Silvia Messina; Mark R Woodhall; Naheed Raza; Rosie Everett; Adriana Roca-Fernandez; George Tackley; Shahd Hamid; Angela Sheard; Gavin Reynolds; Saleel Chandratre; Cheryl Hemingway; Anu Jacob; Angela Vincent; M Isabel Leite; Patrick Waters; Jacqueline Palace
Journal:  Brain       Date:  2017-12-01       Impact factor: 13.501

6.  Differential diagnosis of suspected multiple sclerosis: a consensus approach.

Authors:  D H Miller; B G Weinshenker; M Filippi; B L Banwell; J A Cohen; M S Freedman; S L Galetta; M Hutchinson; R T Johnson; L Kappos; J Kira; F D Lublin; H F McFarland; X Montalban; H Panitch; J R Richert; S C Reingold; C H Polman
Journal:  Mult Scler       Date:  2008-09-19       Impact factor: 6.312

7.  Characteristics of patients found not to have multiple sclerosis.

Authors:  T J Murray; S J Murray
Journal:  Can Med Assoc J       Date:  1984-08-15       Impact factor: 8.262

8.  Evaluation of idiopathic transverse myelitis revealing specific myelopathy diagnoses.

Authors:  Nicholas L Zalewski; Eoin P Flanagan; B Mark Keegan
Journal:  Neurology       Date:  2017-12-15       Impact factor: 9.910

9.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

10.  MOG-IgG in NMO and related disorders: a multicenter study of 50 patients. Part 1: Frequency, syndrome specificity, influence of disease activity, long-term course, association with AQP4-IgG, and origin.

Authors:  Sven Jarius; Klemens Ruprecht; Ingo Kleiter; Nadja Borisow; Nasrin Asgari; Kalliopi Pitarokoili; Florence Pache; Oliver Stich; Lena-Alexandra Beume; Martin W Hümmert; Corinna Trebst; Marius Ringelstein; Orhan Aktas; Alexander Winkelmann; Mathias Buttmann; Alexander Schwarz; Hanna Zimmermann; Alexander U Brandt; Diego Franciotta; Marco Capobianco; Joseph Kuchling; Jürgen Haas; Mirjam Korporal-Kuhnke; Soeren Thue Lillevang; Kai Fechner; Kathrin Schanda; Friedemann Paul; Brigitte Wildemann; Markus Reindl
Journal:  J Neuroinflammation       Date:  2016-09-26       Impact factor: 8.322

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  26 in total

1.  The "central vein sign" in patients with diagnostic "red flags" for multiple sclerosis: A prospective multicenter 3T study.

Authors:  Pietro Maggi; Martina Absinta; Pascal Sati; Gaetano Perrotta; Luca Massacesi; Bernard Dachy; Caroline Pot; Reto Meuli; Daniel S Reich; Massimo Filippi; Renaud Du Pasquier; Marie Théaudin
Journal:  Mult Scler       Date:  2019-09-19       Impact factor: 6.312

2.  The central vein sign helps in differentiating multiple sclerosis from its mimickers: lessons from Fabry disease.

Authors:  Mario Tranfa; Mario Tortora; Giuseppe Pontillo; Valentina Iuzzolino; Eleonora Riccio; Simona Caccavallo; Teodolinda Di Risi; Serena Monti; Roberta Lanzillo; Vincenzo Brescia Morra; Giuseppe Palma; Maria Petracca; Antonio Pisani; Arturo Brunetti; Sirio Cocozza
Journal:  Eur Radiol       Date:  2022-01-14       Impact factor: 5.315

3.  Confirming a Historical Diagnosis of Multiple Sclerosis: Challenges and Recommendations.

Authors:  Andrew J Solomon; Georgina Arrambide; Wallace Brownlee; Anne H Cross; María I Gaitan; Fred D Lublin; Naila Makhani; Ellen M Mowry; Daniel S Reich; Àlex Rovira; Brian G Weinshenker; Jeffrey A Cohen
Journal:  Neurol Clin Pract       Date:  2022-06

4.  Lesion size and shape in central vein sign assessment for multiple sclerosis diagnosis: An in vivo and postmortem MRI study.

Authors:  Omar Al-Louzi; Sargis Manukyan; Maxime Donadieu; Martina Absinta; Vijay Letchuman; Brent Calabresi; Parth Desai; Erin S Beck; Snehashis Roy; Joan Ohayon; Dzung L Pham; Anish Thomas; Steven Jacobson; Irene Cortese; Pavan K Auluck; Govind Nair; Pascal Sati; Daniel S Reich
Journal:  Mult Scler       Date:  2022-06-08       Impact factor: 5.855

5.  Accurate Machine Learning Model to Diagnose Chronic Autoimmune Diseases Utilizing Information From B Cells and Monocytes.

Authors:  Yuanchen Ma; Jieying Chen; Tao Wang; Liting Zhang; Xinhao Xu; Yuxuan Qiu; Andy Peng Xiang; Weijun Huang
Journal:  Front Immunol       Date:  2022-04-20       Impact factor: 8.786

Review 6.  Cognitive Decline in Older People with Multiple Sclerosis-A Narrative Review of the Literature.

Authors:  Hsueh-Sheng Chiang; Alka Khera; Barbara E Stopschinski; Olaf Stuve; John Hart; Brendan Kelley; Trung Nguyen
Journal:  Geriatrics (Basel)       Date:  2022-06-05

Review 7.  Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines.

Authors:  Massimo Filippi; Paolo Preziosa; Brenda L Banwell; Frederik Barkhof; Olga Ciccarelli; Nicola De Stefano; Jeroen J G Geurts; Friedemann Paul; Daniel S Reich; Ahmed T Toosy; Anthony Traboulsee; Mike P Wattjes; Tarek A Yousry; Achim Gass; Catherine Lubetzki; Brian G Weinshenker; Maria A Rocca
Journal:  Brain       Date:  2019-07-01       Impact factor: 13.501

8.  "Better explanations" in multiple sclerosis diagnostic workup: A 3-year longitudinal study.

Authors:  Massimiliano Calabrese; Claudio Gasperini; Carla Tortorella; Gianmarco Schiavi; Giovanni Frisullo; Paolo Ragonese; Roberta Fantozzi; Luca Prosperini; Pietro Annovazzi; Cinzia Cordioli; Massimiliano Di Filippo; Diana Ferraro; Alberto Gajofatto; Simona Malucchi; Salvatore Lo Fermo; Giovanna De Luca; Maria L Stromillo; Eleonora Cocco; Antonio Gallo; Damiano Paolicelli; Roberta Lanzillo; Valentina Tomassini; Ilaria Pesci; Maria E Rodegher; Claudio Solaro
Journal:  Neurology       Date:  2019-05-01       Impact factor: 9.910

Review 9.  Understanding Childhood Neuroimmune Diseases of the Central Nervous System.

Authors:  Sara Matricardi; Giovanni Farello; Salvatore Savasta; Alberto Verrotti
Journal:  Front Pediatr       Date:  2019-12-19       Impact factor: 3.418

10.  Validation of multiple sclerosis diagnoses in the Swedish National Patient Register.

Authors:  Chantelle Murley; Emilie Friberg; Jan Hillert; Kristina Alexanderson; Fei Yang
Journal:  Eur J Epidemiol       Date:  2019-09-06       Impact factor: 8.082

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