Association of brain volume loss and long-term disability outcomes in patients with multiple sclerosis treated with teriflunomide.


Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
09 2020
Historique:
pubmed: 15 6 2019
medline: 25 9 2021
entrez: 15 6 2019
Statut: ppublish

Résumé

Teriflunomide 14 mg significantly reduced brain volume loss (BVL) and confirmed disability worsening (CDW) compared with placebo in the TEMSO core study. To investigate the relationship between BVL from Baseline to Year 2 in the TEMSO core study and long-term CDW (Year 7) in the TEMSO long-term extension (NCT00803049). Structural Image Evaluation using Normalization of Atrophy determined BVL. Long-term CDW was assessed by Expanded Disability Status Scale confirmed for 12 and 24 weeks. An additional analysis evaluated the relative contribution of BVL (Year 2) and other outcomes as potential mediators of the effect of teriflunomide 14 mg on 12-week CDW. Patients with the least BVL were significantly less likely to have 12- and 24-week CDW at Year 7 compared with patients with the most BVL. A mediation analysis revealed that BVL (Year 2) explained 51.3% of the treatment effect on CDW; new or enlarging T These results highlight the potential predictive value of BVL earlier in the disease course on long-term disability outcomes. The mediation analysis suggests that teriflunomide may prevent disability worsening largely through its effects on BVL.

Sections du résumé

BACKGROUND
Teriflunomide 14 mg significantly reduced brain volume loss (BVL) and confirmed disability worsening (CDW) compared with placebo in the TEMSO core study.
OBJECTIVE
To investigate the relationship between BVL from Baseline to Year 2 in the TEMSO core study and long-term CDW (Year 7) in the TEMSO long-term extension (NCT00803049).
METHODS
Structural Image Evaluation using Normalization of Atrophy determined BVL. Long-term CDW was assessed by Expanded Disability Status Scale confirmed for 12 and 24 weeks. An additional analysis evaluated the relative contribution of BVL (Year 2) and other outcomes as potential mediators of the effect of teriflunomide 14 mg on 12-week CDW.
RESULTS
Patients with the least BVL were significantly less likely to have 12- and 24-week CDW at Year 7 compared with patients with the most BVL. A mediation analysis revealed that BVL (Year 2) explained 51.3% of the treatment effect on CDW; new or enlarging T
CONCLUSIONS
These results highlight the potential predictive value of BVL earlier in the disease course on long-term disability outcomes. The mediation analysis suggests that teriflunomide may prevent disability worsening largely through its effects on BVL.

Identifiants

pubmed: 31198103
doi: 10.1177/1352458519855722
pmc: PMC7493202
doi:

Substances chimiques

Crotonates 0
Hydroxybutyrates 0
Nitriles 0
Toluidines 0
teriflunomide 1C058IKG3B

Banques de données

ClinicalTrials.gov
['NCT00803049']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1207-1216

Références

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Auteurs

Till Sprenger (T)

University Hospital Basel, Basel, Switzerland/ Department of Neurology, DKD Helios Klinik Wiesbaden, Wiesbaden, Germany.

Ludwig Kappos (L)

Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.

Ernst-Wilhelm Radue (EW)

Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.

Laura Gaetano (L)

Medical Image Analysis Center, Basel, Switzerland/ Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.

Nicole Mueller-Lenke (N)

Medical Image Analysis Center, Basel, Switzerland.

Jens Wuerfel (J)

Medical Image Analysis Center, Basel, Switzerland/ Department of Biomedical Engineering, University of Basel, Basel, Switzerland.

Elizabeth M Poole (EM)

Global Scientific Communications, Sanofi, Cambridge, MA, USA.

Steven Cavalier (S)

Global Scientific Communications, Sanofi, Cambridge, MA, USA.

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Classifications MeSH