Late onset multiple sclerosis is associated with more severe ventricle expansion.

Adult Atrophy / pathology Brain / diagnostic imaging Child, Preschool Cross-Sectional Studies Disability Evaluation Disease Progression Humans Magnetic Resonance Imaging Multiple Sclerosis / diagnostic imaging
Late-onset multiple sclerosis central atrophy disability progression lateral ventricle volume whole brain volume

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 30 05 2020
revised: 15 10 2020
accepted: 16 10 2020
pubmed: 11 12 2020
medline: 15 5 2021
entrez: 10 12 2020
Statut: ppublish

Résumé

Late-onset multiple sclerosis (LOMS) is associated with faster disability progression than persons with adult-onset MS (PwAOMS). The differences in brain atrophy are currently unknown. To determine MRI-derived atrophy rates in persons with late-onset MS (PwLOMS) and compare them to an age-matched and disease duration-matched sample of PwAOMS. 870 persons with MS (290 PwLOMS, 290 age-matched PwAOMS, and 290 disease duration-matched PwAOMS), and 150 healthy controls (HCs), were followed for 5 years and 3 years, respectively. Cross-sectional and longitudinal measures of T2-lesion volume (LV), lateral ventricular volume (LVV) and whole brain volume (WBV) were derived. Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Severity Score (MSSS) were calculated. Both analyses were corrected for false discovery rate. Persons with MS exhibited significantly greater annualized WBV loss (-0.88% vs. -0.38%, p<0.001) and annualized LVV expansion (3.1% vs. 1.7%, p=0.002) when compared to HCs. PwLOMS had significantly higher baseline and follow-up median MSSS when compared to both age-matched and disease duration-matched PwAOMS (p<0.026). PwLOMS showed significantly greater percent LVV change (14.3% vs. 9.3% p=0.001) and greater annualized percent LVV change (4.1% vs. 1.6%, p<0.001) compared to age-matched PwAOMS. PwLOMS had higher MSSS and greater ventricle expansion when compared to PwAOMS.

Sections du résumé

BACKGROUND BACKGROUND
Late-onset multiple sclerosis (LOMS) is associated with faster disability progression than persons with adult-onset MS (PwAOMS). The differences in brain atrophy are currently unknown.
OBJECTIVES OBJECTIVE
To determine MRI-derived atrophy rates in persons with late-onset MS (PwLOMS) and compare them to an age-matched and disease duration-matched sample of PwAOMS.
METHODS METHODS
870 persons with MS (290 PwLOMS, 290 age-matched PwAOMS, and 290 disease duration-matched PwAOMS), and 150 healthy controls (HCs), were followed for 5 years and 3 years, respectively. Cross-sectional and longitudinal measures of T2-lesion volume (LV), lateral ventricular volume (LVV) and whole brain volume (WBV) were derived. Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Severity Score (MSSS) were calculated. Both analyses were corrected for false discovery rate.
RESULTS RESULTS
Persons with MS exhibited significantly greater annualized WBV loss (-0.88% vs. -0.38%, p<0.001) and annualized LVV expansion (3.1% vs. 1.7%, p=0.002) when compared to HCs. PwLOMS had significantly higher baseline and follow-up median MSSS when compared to both age-matched and disease duration-matched PwAOMS (p<0.026). PwLOMS showed significantly greater percent LVV change (14.3% vs. 9.3% p=0.001) and greater annualized percent LVV change (4.1% vs. 1.6%, p<0.001) compared to age-matched PwAOMS.
CONCLUSION CONCLUSIONS
PwLOMS had higher MSSS and greater ventricle expansion when compared to PwAOMS.

Identifiants

DOI: 10.1016/j.msard.2020.102588 PMID: 33296984
pubmed: 33296984
pii: S2211-0348(20)30662-3
doi: 10.1016/j.msard.2020.102588
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102588

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Dejan Jakimovski (D)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Dora Dujmic (D)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Jesper Hagemeier (J)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Deepa P Ramasamy (DP)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Niels Bergsland (N)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Michael G Dwyer (MG)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.

Svetlana Eckert (S)

Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Channa Kolb (C)

Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Alexis Lizarraga (A)

Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

David Hojnacki (D)

Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Bianca Weinstock-Guttman (B)

Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Robert Zivadinov (R)

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA. Electronic address: rzivadinov@bnac.net.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female

Evaluation of Low-Value Services Across Major Medicare Advantage Insurers and Traditional Medicare.

Ciara Duggan, Adam L Beckman, Ishani Ganguli et al.
1.00
Humans United States Aged Cross-Sectional Studies Medicare Part C

Effectiveness of Virtual Yoga for Chronic Low Back Pain: A Randomized Clinical Trial.

Hallie Tankha, Devyn Gaskins, Amanda Shallcross et al.
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Late onset multiple sclerosis is associated...
questionsmedicales.fr › États, signes et symptômes pathologiques › États anatomopathologiques › Atrophie › Late onset multiple sclerosis is associated...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Late onset multiple sclerosis is associated...
questionsmedicales.fr › Personnes › Tranches d'âge › Enfant › Enfant d'âge préscolaire › Late onset multiple sclerosis is associated...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Late onset multiple sclerosis is associated...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Évaluation de l'invalidité › Late onset multiple sclerosis is associated...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Caractéristiques de la maladie › Évolution de la maladie › Late onset multiple sclerosis is associated...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Late onset multiple sclerosis is associated...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Late onset multiple sclerosis is associated...
questionsmedicales.fr › Maladies du système immunitaire › Maladies auto-immunes › Maladies auto-immunes du système nerveux › Maladies démyélinisantes auto-immunes du SNC › Sclérose en plaques › Late onset multiple sclerosis is associated...