Predictors of Disease Activity and Worsening in Relapsing-Remitting Multiple Sclerosis.


Journal

Neurology. Clinical practice
ISSN: 2163-0402
Titre abrégé: Neurol Clin Pract
Pays: United States
ID NLM: 101577149

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 13 12 2021
accepted: 11 04 2022
entrez: 16 11 2022
pubmed: 17 11 2022
medline: 17 11 2022
Statut: ppublish

Résumé

Disease activity in multiple sclerosis (MS) is highly variable, and there are limited prospective studies on predictors of disease outcomes. The goal of this study is to identify and assess patient characteristics in MS that predict disease activity and worsening. The study population consisted of a prospective cohort of 1,008 participants with relapsing-remitting onset MS enrolled in the CombiRx trial. Cox regression analysis was used to determine hazard ratio (HR) associations between baseline (BL) demographics, clinical history, MRI metrics, and treatment with outcomes of time to first new disease activity over up to 7 years of follow-up including relapse, MRI activity, and disease worsening. One thousand eight participants were randomized, with 959 eligible for assessment of disease activity and worsening on follow-up. In multivariable models, the risk of relapse was higher in participants younger than 38 years at BL than in those older (HR range 1.36-1.43), with the presence of gadolinium (Gd)+ lesions at BL (HR 1.38, [95% confidence interval, CI 1.14, 1.67]) and with BL EDSS ≥3.5 vs <3.5 (HR range 1.63-1.67). The risk of new MRI activity was higher in younger participants (HR range 1.58-1.84), with higher preexisting lesion counts greater than the median lesion count with ≥71 T2 hyperintense lesions vs <71 (HR 1.50, [95% CI 1.27, 1.77]), with the presence of BL Gd+ lesions (HR 1.75, [95% CI 1.49, 2.06]), and higher BL T2 lesion volume (HR 1.02 for every unit increase in baseline volume, [95% CI 1.01, 1.03]). The risk of new MRI activity was lower in those receiving combination therapy compared with those that in those receiving either glatiramer acetate (HR range 0.67-0.68) or interferon beta-1a (HR range 0.68-0.70). The risk of disease worsening was higher for those with higher T2 volume (HR for 1 unit increase in volume 1.01, 95% CI 1.004, 1.03) and BL EDSS <2 (HR range 2.79-2.96). There were no associations between sex, race, and disease duration on relapse, MRI activity, or disease worsening in the multivariable analysis. Prospective data from a large clinical trial cohort show that younger MS patients with high BL relapses and MRI lesion burden have the highest risk of subsequent disease activity. Clinical trial registration number NCT00211887. CombiRx was registered at ClinicalTrials.gov (NCT00211887) on September 21, 2005. Study enrollment began in January 2005.

Sections du résumé

Background and Objectives UNASSIGNED
Disease activity in multiple sclerosis (MS) is highly variable, and there are limited prospective studies on predictors of disease outcomes. The goal of this study is to identify and assess patient characteristics in MS that predict disease activity and worsening.
Methods UNASSIGNED
The study population consisted of a prospective cohort of 1,008 participants with relapsing-remitting onset MS enrolled in the CombiRx trial. Cox regression analysis was used to determine hazard ratio (HR) associations between baseline (BL) demographics, clinical history, MRI metrics, and treatment with outcomes of time to first new disease activity over up to 7 years of follow-up including relapse, MRI activity, and disease worsening.
Results UNASSIGNED
One thousand eight participants were randomized, with 959 eligible for assessment of disease activity and worsening on follow-up. In multivariable models, the risk of relapse was higher in participants younger than 38 years at BL than in those older (HR range 1.36-1.43), with the presence of gadolinium (Gd)+ lesions at BL (HR 1.38, [95% confidence interval, CI 1.14, 1.67]) and with BL EDSS ≥3.5 vs <3.5 (HR range 1.63-1.67). The risk of new MRI activity was higher in younger participants (HR range 1.58-1.84), with higher preexisting lesion counts greater than the median lesion count with ≥71 T2 hyperintense lesions vs <71 (HR 1.50, [95% CI 1.27, 1.77]), with the presence of BL Gd+ lesions (HR 1.75, [95% CI 1.49, 2.06]), and higher BL T2 lesion volume (HR 1.02 for every unit increase in baseline volume, [95% CI 1.01, 1.03]). The risk of new MRI activity was lower in those receiving combination therapy compared with those that in those receiving either glatiramer acetate (HR range 0.67-0.68) or interferon beta-1a (HR range 0.68-0.70). The risk of disease worsening was higher for those with higher T2 volume (HR for 1 unit increase in volume 1.01, 95% CI 1.004, 1.03) and BL EDSS <2 (HR range 2.79-2.96). There were no associations between sex, race, and disease duration on relapse, MRI activity, or disease worsening in the multivariable analysis.
Discussion UNASSIGNED
Prospective data from a large clinical trial cohort show that younger MS patients with high BL relapses and MRI lesion burden have the highest risk of subsequent disease activity.
Trial Registration Information UNASSIGNED
Clinical trial registration number NCT00211887. CombiRx was registered at ClinicalTrials.gov (NCT00211887) on September 21, 2005. Study enrollment began in January 2005.

Identifiants

pubmed: 36382118
doi: 10.1212/CPJ.0000000000001177
pii: NEURCLINPRACT2021070306
pmc: PMC9647819
doi:

Banques de données

ClinicalTrials.gov
['NCT00211887']

Types de publication

Journal Article

Langues

eng

Pagination

e58-e65

Informations de copyright

© 2022 American Academy of Neurology.

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Auteurs

Yinan Zhang (Y)

Department of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).

Stacey Cofield (S)

Department of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).

Gary Cutter (G)

Department of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).

Stephen Krieger (S)

Department of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).

Jerry S Wolinsky (JS)

Department of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).

Fred Lublin (F)

Department of Neurology (YZ), The Ohio State University Wexner Medical Center, Columbus; Department of Biostatistics (SC, GC), University of Alabama at Birmingham; Department of Neurology (SK, FL), Icahn School of Medicine at Mount Sinai, New York; and Department of Neurology (JSW), McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth).

Classifications MeSH