Duchenne Muscular Dystrophy Fatigue Trajectories.


Journal

Neuropediatrics
ISSN: 1439-1899
Titre abrégé: Neuropediatrics
Pays: Germany
ID NLM: 8101187

Informations de publication

Date de publication:
04 Jul 2023
Historique:
pubmed: 27 5 2023
medline: 27 5 2023
entrez: 26 5 2023
Statut: aheadofprint

Résumé

 Children with Duchenne muscular dystrophy (DMD) are at risk of experiencing fatigue that negatively impacts their health-related quality of life (HRQoL). This study aimed to assess the association between fatigue and HRQoL, by examining fatigue trajectories over 48 weeks, and assessing factors associated with these fatigue trajectories.  The study sample consisted of 173 DMD subjects enrolled in a 48-week-long phase 2 clinical trial (NCT00592553) for a novel therapeutic who were between the ages of 5 and 16 years.  The results of regression modeling show baseline fatigue and baseline HRQoL (  This study identified fatigue trajectories and risk factors associated with greater fatigue, helping clinicians and researchers identify the profile of fatigue in DMD children.

Identifiants

pubmed: 37236246
doi: 10.1055/a-2101-7860
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : PTC Therapeutics
ID : Investigator initiated grant

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Yi Sally Wei (YS)

Children's Hospital London Health Sciences Centre, London, Canada.

Mona Hnaini (M)

Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.

Basmah ElAloul (B)

Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.

Eugenio Zapata (E)

Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.

Craig Campbell (C)

Children's Hospital London Health Sciences Centre, London, Canada.
Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Department of Paediatrics, Clinical Neurological Sciences and Epidemiology, Western University, London, Ontario, Canada.

Classifications MeSH