Literature DB >> 28584696

Redefining Acute Relapses in Multiple Sclerosis: Implications for Phase 3 Clinical Trials and Treatment Algorithms.

Jagannadha Avasarala1.   

Abstract

Relapses in multiple sclerosis are defined as periods of clinical worsening and radiological progression. Magnetic resonance imaging data, however, are not always supportive of "clinical worsening," and clinical symptoms of worsening may not always be present in cases of acute relapse. In the pharmaceutical domain, this discordance between "clinical worsening" and "radiological progression" has never been fully elucidated, and no Phase 3 clinical study has addressed this conundrum. Thus, the true number of acute relapse cases enrolled in Phase 3 clinical studies remains unclear. Breach of the blood-brain barrier solely, as determined by magnetic resonance imaging, may be more a more accurate definition of an acute relapse in multiple sclerosis. Increasingly, magnetic resonance imaging data push the boundaries of science and carry significant advantages in sensitivity, data storage, retrieval, and unbiased analyses, if warranted retrospectively. Magnetic resonance imaging data can also be standardized, shared, and exploited by pharmaceutical companies to develop more effective drugs and therapeutic endpoints. Neurology is awakening to big data concepts and how such concepts are evolving the field. Magnetic resonance imaging data is one of the pillars of this evolution. In this commentary, the author reviews the current standard of determining acute relapse in both clinical practice and clinical research, and discusses its limitations. The author then proposes a more modern definition of acute relapse in multiple sclerosis and includes a supportive discussion on the current and emerging roles magnetic resonance imaging and "big data" are playing in the prevention, diagnosis, and treatment of multiple sclerosis.

Entities:  

Keywords:  MRI; MS; Multiple sclerosis; acute relapse; big data; blood brain barrier; imaging; magnetic resonance imaging

Year:  2017        PMID: 28584696      PMCID: PMC5451037     

Source DB:  PubMed          Journal:  Innov Clin Neurosci        ISSN: 2158-8333


  7 in total

1.  PROBLEMS OF EXPERIMENTAL TRIALS OF THERAPY IN MULTIPLE SCLEROSIS: REPORT BY THE PANEL ON THE EVALUATION OF EXPERIMENTAL TRIALS OF THERAPY IN MULTIPLE SCLEROSIS.

Authors:  G A SCHUMACHER; G BEEBE; R F KIBLER; L T KURLAND; J F KURTZKE; F MCDOWELL; B NAGLER; W A SIBLEY; W W TOURTELLOTTE; T L WILLMON
Journal:  Ann N Y Acad Sci       Date:  1965-03-31       Impact factor: 5.691

2.  The clinico-radiological paradox in multiple sclerosis: novel implications of lesion size.

Authors:  Floyd A Davis
Journal:  Mult Scler       Date:  2013-07-25       Impact factor: 6.312

3.  Disease activity free status in MS.

Authors:  Fred D Lublin
Journal:  Mult Scler Relat Disord       Date:  2011-08-27       Impact factor: 4.339

4.  Sensitivity of contrast enhanced MRI in multiple sclerosis. Effects of gadolinium dose, magnetization transfer contrast and delayed imaging.

Authors:  N C Silver; C D Good; G J Barker; D G MacManus; A J Thompson; I F Moseley; W I McDonald; D H Miller
Journal:  Brain       Date:  1997-07       Impact factor: 13.501

Review 5.  Influence of temperature changes on multiple sclerosis: critical review of mechanisms and research potential.

Authors:  T C Guthrie; D A Nelson
Journal:  J Neurol Sci       Date:  1995-03       Impact factor: 3.181

6.  Gadoteridol in multiple sclerosis patients. A comparison of single and triple dose with immediate vs. delayed imaging.

Authors:  L J Wolansky; S G Finden; R Chang; M Conigliari; H J Lee; P D Shaderowsky; S D Cook
Journal:  Clin Imaging       Date:  1998 Nov-Dec       Impact factor: 1.605

7.  Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG)

Authors:  L D Jacobs; D L Cookfair; R A Rudick; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; C V Granger; J H Simon; J J Alam; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; P M Pullicino; B J Scherokman; R H Whitham
Journal:  Ann Neurol       Date:  1996-03       Impact factor: 10.422

  7 in total
  5 in total

1.  Dietary Inflammatory Index and clinical course of multiple sclerosis.

Authors:  Bruna Yhang da Costa Silva; Helena Alves de Carvalho Sampaio; Nitin Shivappa; James R Hebert; Larissa da Silva Albuquerque; Antônio Augusto Ferreira Carioca; José Artur Costa D'Almeida; Carla Soraya Costa Maia; Maria Luisa Pereira de Melo
Journal:  Eur J Clin Nutr       Date:  2018-09-03       Impact factor: 4.016

2.  Biomarker panel increases accuracy for identification of an MS relapse beyond sNfL.

Authors:  Saurabh Gawde; Agnieshka Agasing; Neal Bhatt; Mackenzie Toliver; Gaurav Kumar; Kaylea Massey; Andrew Nguyen; Yang Mao-Draayer; Susan Macwana; Wade DeJager; Joel M Guthridge; Gabriel Pardo; Jeffrey Dunn; Robert C Axtell
Journal:  Mult Scler Relat Disord       Date:  2022-05-28       Impact factor: 4.808

3.  Temporal association of sNfL and gad-enhancing lesions in multiple sclerosis.

Authors:  Mattia Rosso; Cindy T Gonzalez; Brian C Healy; Shrishti Saxena; Anu Paul; Kjetil Bjornevik; Jens Kuhle; Pascal Benkert; David Leppert; Charles Guttmann; Rohit Bakshi; Howard L Weiner; Tanuja Chitnis
Journal:  Ann Clin Transl Neurol       Date:  2020-05-25       Impact factor: 4.511

Review 4.  Should We Use Clinical Tools to Identify Disease Progression?

Authors:  Hernan Inojosa; Undine Proschmann; Katja Akgün; Tjalf Ziemssen
Journal:  Front Neurol       Date:  2021-01-21       Impact factor: 4.003

5.  Vigorous cool room treadmill training to improve walking ability in people with multiple sclerosis who use ambulatory assistive devices: a feasibility study.

Authors:  Augustine J Devasahayam; Arthur R Chaves; Wendy O Lasisi; Marie E Curtis; Katie P Wadden; Liam P Kelly; Ryan Pretty; Alice Chen; Elizabeth M Wallack; Caitlin J Newell; John B Williams; Hannah Kenny; Matthew B Downer; Jason McCarthy; Craig S Moore; Michelle Ploughman
Journal:  BMC Neurol       Date:  2020-01-22       Impact factor: 2.474

  5 in total

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