Early clinical markers of aggressive multiple sclerosis.

Journal: Brain : a journal of neurology

Volume: 143

Issue: 5

Year of Publication: 2020

Affiliated Institutions:  CORe Unit, Department of Medicine, University of Melbourne, Melbourne, Australia. Centre for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden. Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic. Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy. Hospital Universitario Virgen Macarena, Sevilla, Spain. IRCCS Mondino Foundation, Pavia, Italy. Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy. Department of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy. CHUM and Universite de Montreal, Montreal, Canada. CISSS de Chaudière-Appalaches, Levis, Canada. Neuro Rive-Sud, Quebec, Canada. Dokuz Eylul University, Konak/Izmir, Turkey. Cliniques Universitaires Saint-Luc, Brussels, Belgium. Department of Medicine and Surgery, University of Parma, Parma, Italy. Zuyderland Ziekenhuis, Sittard, The Netherlands. UOC Neurologia, Azienda Sanitaria Unica Regionale Marche - AV, Macerata, Italy. KTU Medical Faculty Farabi Hospital, Trabzon, Turkey. Department of Neurology, Razi Hospital, Manouba, Tunisia. Department of Neurology, Razi Hospital, LR SP, Clinical Investigation Center Neurosciences and Mental Health, Faculty of Medicine University Tunis El Manar, Tunis, Tunisia. Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino, Avellino, Italy. Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey. Kommunehospitalet, Arhus C, Denmark. Groene Hart Ziekenhuis, Gouda, The Netherlands. Hacettepe University, Ankara, Turkey. Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey. Hospital Germans Trias i Pujol, Badalona, Spain. Medical Faculty, Mayis University, Samsun, Turkey. Hospital Italiano, Buenos Aires, Argentina. Flinders University, Adelaide, Australia. University of Queensland, Brisbane, Australia. Austin Health, Melbourne, Australia. Universidade Metropolitana de Santos, Santos, Brazil. Instituto de Investigación Sanitaria Biodonostia, Hospital Universitario Donostia, San Sebastián, Spain. Koc University, School of Medicine, Department of Neurology, Istanbul, Turkey. Department of Clinical Neuroscience, Karolinska Institutet, Sweden. Central Clinical School, Monash University, Melbourne, Australia.

Abstract summary 

Patients with the 'aggressive' form of multiple sclerosis accrue disability at an accelerated rate, typically reaching Expanded Disability Status Score (EDSS) ≥ 6 within 10 years of symptom onset. Several clinicodemographic factors have been associated with aggressive multiple sclerosis, but less research has focused on clinical markers that are present in the first year of disease. The development of early predictive models of aggressive multiple sclerosis is essential to optimize treatment in this multiple sclerosis subtype. We evaluated whether patients who will develop aggressive multiple sclerosis can be identified based on early clinical markers. We then replicated this analysis in an independent cohort. Patient data were obtained from the MSBase observational study. Inclusion criteria were (i) first recorded disability score (EDSS) within 12 months of symptom onset; (ii) at least two recorded EDSS scores; and (iii) at least 10 years of observation time, based on time of last recorded EDSS score. Patients were classified as having 'aggressive multiple sclerosis' if all of the following criteria were met: (i) EDSS ≥ 6 reached within 10 years of symptom onset; (ii) EDSS ≥ 6 confirmed and sustained over ≥6 months; and (iii) EDSS ≥ 6 sustained until the end of follow-up. Clinical predictors included patient variables (sex, age at onset, baseline EDSS, disease duration at first visit) and recorded relapses in the first 12 months since disease onset (count, pyramidal signs, bowel-bladder symptoms, cerebellar signs, incomplete relapse recovery, steroid administration, hospitalization). Predictors were evaluated using Bayesian model averaging. Independent validation was performed using data from the Swedish Multiple Sclerosis Registry. Of the 2403 patients identified, 145 were classified as having aggressive multiple sclerosis (6%). Bayesian model averaging identified three statistical predictors: age > 35 at symptom onset, EDSS ≥ 3 in the first year, and the presence of pyramidal signs in the first year. This model significantly predicted aggressive multiple sclerosis [area under the curve (AUC) = 0.80, 95% confidence intervals (CIs): 0.75, 0.84, positive predictive value = 0.15, negative predictive value = 0.98]. The presence of all three signs was strongly predictive, with 32% of such patients meeting aggressive disease criteria. The absence of all three signs was associated with a 1.4% risk. Of the 556 eligible patients in the Swedish Multiple Sclerosis Registry cohort, 34 (6%) met criteria for aggressive multiple sclerosis. The combination of all three signs was also predictive in this cohort (AUC = 0.75, 95% CIs: 0.66, 0.84, positive predictive value = 0.15, negative predictive value = 0.97). Taken together, these findings suggest that older age at symptom onset, greater disability during the first year, and pyramidal signs in the first year are early indicators of aggressive multiple sclerosis.

Authors & Co-authors:  Malpas Charles B CB Manouchehrinia Ali A Sharmin Sifat S Roos Izanne I Horakova Dana D Havrdova Eva Kubala EK Trojano Maria M Izquierdo Guillermo G Eichau Sara S Bergamaschi Roberto R Sola Patrizia P Ferraro Diana D Lugaresi Alessandra A Prat Alexandre A Girard Marc M Duquette Pierre P Grammond Pierre P Grand'Maison Francois F Ozakbas Serkan S Van Pesch Vincent V Granella Franco F Hupperts Raymond R Pucci Eugenio E Boz Cavit C Sidhom Youssef Y Gouider Riadh R Spitaleri Daniele D Soysal Aysun A Petersen Thor T Verheul Freek F Karabudak Rana R Turkoglu Recai R Ramo-Tello Cristina C Terzi Murat M Cristiano Edgardo E Slee Mark M McCombe Pamela P Macdonell Richard R Fragoso Yara Y Olascoaga Javier J Altintas Ayse A Olsson Tomas T Butzkueven Helmut H Hillert Jan J Kalincik Tomas T

Study Outcome 

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Statistics
Citations : 
Authors :  45
Identifiers
Doi : 10.1093/brain/awaa081
SSN : 1460-2156
Study Population
Male,Female
Mesh Terms
Adult
Other Terms
aggressive disease;disability;multiple sclerosis;precision medicine;prediction
Study Design
Cohort Study,Cross Sectional Study
Study Approach
Country of Study
Publication Country
England