Risk of relapse phenotype recurrence in multiple sclerosis

Author:

Kalincik Tomas1,Buzzard Katherine2,Jokubaitis Vilija1,Trojano Maria3,Duquette Pierre4,Izquierdo Guillermo5,Girard Marc4,Lugaresi Alessandra6,Grammond Pierre7,Grand’Maison Francois8,Oreja-Guevara Celia9,Boz Cavit10,Hupperts Raymond11,Petersen Thor12,Giuliani Giorgio13,Iuliano Gerardo14,Lechner-Scott Jeannette15,Barnett Michael,Bergamaschi Roberto,Van Pesch Vincent,Amato Maria Pia,van Munster Erik,Fernandez-Bolanos Ricardo,Verheul Freek,Fiol Marcela,Cristiano Edgardo,Slee Mark,Rio Maria Edite,Spitaleri Daniele16,Alroughani Raed,Gray Orla,Saladino Maria Laura,Flechter Sholmo,Herbert Joseph,Cabrera-Gomez Jose Antonio,Vella Norbert,Paine Mark,Shaw Cameron,Moore Fraser,Vucic Steve,Savino Aldo,Singhal Bhim,Petkovska-Boskova Tatjana,Parratt John,Sirbu Carmen-Adella,Rozsa Csilla,Liew Danny,Butzkueven Helmut21,

Affiliation:

1. University of Melbourne, Australia

2. Royal Melbourne Hospital, Australia

3. University of Bari, Italy

4. Hôpital Notre Dame, Montreal, Canada

5. Hospital Universitario Virgen Macarena, Sevilla, Spain

6. MS Centre, University ‘G. d’Annunzio’, Chieti, Italy

7. Hotel-Dieu de Levis, Quebec, Canada

8. Neuro Rive-Sud, Hôpital Charles LeMoyne, Quebec, Canada

9. University Hospital San Carlos, IdISSC, Madrid, Spain

10. Karadeniz Technical University, Trabzon, Turkey

11. Orbis Medical Centre, Sittard, The Netherlands

12. Aarhus University Hospital, Aarhus C, Denmark

13. Ospedale di Macerata, Macerata, Italy

14. Ospedali Riuniti di Salerno, Salerno, Italy

15. John Hunter Hospital, Newcastle, Australia

16. AORN San Giuseppe Moscati, Avellino, Italy

Abstract

Objectives: The aim was to analyse risk of relapse phenotype recurrence in multiple sclerosis and to characterise the effect of demographic and clinical features on this phenotype. Methods: Information about relapses was collected using MSBase, an international observational registry. Associations between relapse phenotypes and history of similar relapses or patient characteristics were tested with multivariable logistic regression models. Tendency of relapse phenotypes to recur sequentially was assessed with principal component analysis. Results: Among 14,969 eligible patients (89,949 patient-years), 49,279 phenotypically characterised relapses were recorded. Visual and brainstem relapses occurred more frequently in early disease and in younger patients. Sensory relapses were more frequent in early or non-progressive disease. Pyramidal, sphincter and cerebellar relapses were more common in older patients and in progressive disease. Women presented more often with sensory or visual symptoms. Men were more prone to pyramidal, brainstem and cerebellar relapses. Importantly, relapse phenotype was predicted by the phenotypes of previous relapses. (OR = 1.8–5, p = 10-14). Sensory, visual and brainstem relapses showed better recovery than other relapse phenotypes. Relapse severity increased and the ability to recover decreased with age or more advanced disease. Conclusion: Relapse phenotype was associated with demographic and clinical characteristics, with phenotypic recurrence significantly more common than expected by chance.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3