Quantifying risk of early relapse in patients with first demyelinating events: Prediction in clinical practice

Author:

Spelman Tim1,Meyniel Claire12,Rojas Juan Ignacio3,Lugaresi Alessandra4,Izquierdo Guillermo5,Grand’Maison Francois6,Boz Cavit7,Alroughani Raed8,Havrdova Eva9,Horakova Dana9,Iuliano Gerardo10,Duquette Pierre11,Terzi Murat12,Grammond Pierre13,Hupperts Raymond14,Lechner-Scott Jeannette15,Oreja-Guevara Celia16,Pucci Eugenio17,Verheul Freek18,Fiol Marcela19,Van Pesch Vincent20,Cristiano Edgardo3,Petersen Thor21,Moore Fraser22,Kalincik Tomas1,Jokubaitis Vilija1,Trojano Maria23,Butzkueven Helmut24,

Affiliation:

1. Department of Medicine and Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia

2. Department of Neurophysiologie, Pitié-Salpêtrière Hospital, Paris, France

3. Hospital Italiano de Buenos Aires, Buenos Aires, Argentina

4. MS Center, Department of Neuroscience and Imaging, University ‘G. d’Annunzio’, Chieti, Italy

5. Hospital Universitario Virgen Macarena, Sevilla, Spain

6. Neuro Rive-Sud, Hôpital Charles LeMoyne, Greenfield Park, QC, Canada

7. Karadeniz Technical University, Trabzon, Turkey

8. Amiri Hospital, Kuwait City, Kuwait

9. Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, General University Hospital and Charles University in Prague, Prague, Czech Republic

10. Ospedali Riuniti di Salerno, Salerno, Italy

11. Hôpital Notre-Dame, Montreal, QC, Canada

12. Ondokuz Mayis University, Samsun, Turkey

13. Centre de réadaptation en déficience physique Chaudière-Appalaches, Levis, QC, Canada

14. Maaslandziekenhuis, Sittard, The Netherlands

15. John Hunter Hospital, Newcastle, NSW, Australia

16. Hospital Clínico San Carlos, Madrid, Spain

17. Neurology Unit, ASUR Marche – AV3, Macerata, Italy

18. Groene Hart Ziekenhuis, Gouda, The Netherlands

19. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia, Buenos Aires, Argentina

20. Cliniques Universitaires Saint-Luc, Brussels, Belgium

21. Kommunehospitalet, Aarhus, Denmark

22. Jewish General Hospital, Montreal, QC, Canada

23. Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy

24. Department of Neurology, Box Hill hospital, Monash University, Box Hill, VIC, Australia

Abstract

Background: Characteristics at clinically isolated syndrome (CIS) examination assist in identification of patient at highest risk of early second attack and could benefit the most from early disease-modifying drugs (DMDs). Objective: To examine determinants of second attack and validate a prognostic nomogram for individualised risk assessment of clinical conversion. Methods: Patients with CIS were prospectively followed up in the MSBase Incident Study. Predictors of clinical conversion were analysed using Cox proportional hazards regression. Prognostic nomograms were derived to calculate conversion probability and validated using concordance indices. Results: A total of 3296 patients from 50 clinics in 22 countries were followed up for a median (inter-quartile range (IQR)) of 1.92 years (0.90, 3.71). In all, 1953 (59.3%) patients recorded a second attack. Higher Expanded Disability Status Scale (EDSS) at baseline, first symptom location, oligoclonal bands and various brain and spinal magnetic resonance imaging (MRI) metrics were all predictors of conversion. Conversely, older age and DMD exposure post-CIS were associated with reduced rates. Prognostic nomograms demonstrated high concordance between estimated and observed conversion probabilities. Conclusion: This multinational study shows that age at CIS onset, DMD exposure, EDSS, multiple brain and spinal MRI criteria and oligoclonal bands are associated with shorter time to relapse. Nomogram assessment may be useful in clinical practice for estimating future clinical conversion.

Funder

NHMRC

Journées de Neurologie de Langue Française

Publisher

SAGE Publications

Subject

Clinical Neurology,Neurology

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