Duchenne Muscular Dystrophy Fatigue Trajectories.
| Autor: | Wei YS; Children's Hospital London Health Sciences Centre, London, Canada., Hnaini M; Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada., ElAloul B; Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada., Zapata E; Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada., 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. |
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| Jazyk: | angličtina |
| Zdroj: | Neuropediatrics [Neuropediatrics] 2024 Feb; Vol. 55 (1), pp. 42-48. Date of Electronic Publication: 2023 May 26. |
| DOI: | 10.1055/a-2101-7860 |
| Abstrakt: | Introduction: 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. Methods: 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. Results: The results of regression modeling show baseline fatigue and baseline HRQoL ( R 2 = 0. 54 for child self-report and 0.51 for parent proxy report) and change in fatigue and HRQoL over 48 weeks ( R 2 = 0.47 for child self-report and 0.36 for parent proxy report) were significantly associated with one another. Three unique fatigue trajectories using Latent Class Growth Models were identified for child and parent proxy reported fatigue. The risk of being in the high fatigue group as compared to the low fatigue group increased by 24% with each year increase in age and also with decreasing walking distance, as reported by children and parent proxy, respectively. Conclusion: This study identified fatigue trajectories and risk factors associated with greater fatigue, helping clinicians and researchers identify the profile of fatigue in DMD children. Competing Interests: None declared. (Thieme. All rights reserved.) |
| Databáze: | MEDLINE |
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