Implementation of Motor Function Measure score percentile curves - Predicting motor function loss in Duchenne muscular dystrophy.
Disease progression
Duchenne
Motor skills disorder
Muscular dystrophy
Neuromuscular diseases
Reference values
Journal
European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society
ISSN: 1532-2130
Titre abrégé: Eur J Paediatr Neurol
Pays: England
ID NLM: 9715169
Informations de publication
Date de publication:
Jan 2022
Jan 2022
Historique:
received:
09
06
2021
revised:
10
11
2021
accepted:
12
11
2021
pubmed:
21
12
2021
medline:
19
1
2022
entrez:
20
12
2021
Statut:
ppublish
Résumé
The Motor Function Measure is a standardized scoring system to evaluate motor function and monitor disease progression in neuromuscular diseases such as Duchenne muscular dystrophy. There are no available reference percentile curves for this measure. The aim of this analysis was to generate Motor Function Measure percentile curves for ambulant and non-ambulant patients affected by Duchenne Muscular Dystrophy, providing the opportunity to better evaluate the status and progression of an individual patient compared to other patients in the same age group. Data of patients aged between 6 and 15 years (819 measurements) was obtained from the international Motor Function Measure database. Age-dependent percentile curves were estimated using a "Generalized additive model for location, scale and shape" as suggested by the World Health Organisation Multicentre Growth Reference Study Group. Percentile curves for the Motor Function Measure total score and its sub-scores for patients with and without treatment with glucocorticoids are presented. Mean scores decline with age. Patients treated with glucocorticoids have higher mean values compared to glucocorticoid-naïve patients at the same age. The percentile curves with the online tool extend the clinical utility of the Motor Function Measure by facilitating the interpretation of individual standing and disease progression.
Identifiants
pubmed: 34929615
pii: S1090-3798(21)00197-5
doi: 10.1016/j.ejpn.2021.11.004
pii:
doi:
Substances chimiques
Glucocorticoids
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
78-83Investigateurs
Stéphanie Fontaine-Carbonnel
(S)
Camille De Montferrand
(C)
Sylvie Ragot-Mandry
(S)
Stéphane Chabrier
(S)
Manuella Fournier Mehouas
(MF)
Hélène Rauscent
(H)
Claude Cances
(C)
François Rivier
(F)
Jon Andoni Urtizberea
(JA)
Sylviane Peudenier
(S)
Sylvain Brochard
(S)
Emmanuelle Lagrue
(E)
Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors state that they do not have any conflicts of interest to declare.