Literature DB >> 25264904

Gross Motor Function Measure-66 trajectories in children recovering after severe acquired brain injury.

Gemma Kelly1, Sue Mobbs, Joshua N Pritkin, Margaret Mayston, Michael Mather, Peter Rosenbaum, Robin Henderson, Rob Forsyth.   

Abstract

AIM: To explore the appropriateness of using the interval-scale version of the Gross Motor Function Measure (GMFM-66) in paediatric acquired brain injury (ABI), and to characterize GMFM-66 recovery trajectories and factors that affect them.
METHOD: An observational study of gross motor recovery trajectories during rehabilitation at a single specialist paediatric in-patient rehabilitation centre using repeated GMFM-66 observations. The cohort comprised children rehabilitating after severe ABI of various causes.
RESULTS: A total of 287 GMFM observations were made on 74 children (45 males, 29 females; age-at-injury range 0.3-17.3y, median age 11.3y, interquartile range 6.6-15.0y). Differences in item-difficulty estimates between this sample and the cerebral palsy population in which the GMFM-66 was initially developed are not detectable at this sample size. Changes in GMFM over time show lag-exponential forms. Children sustaining hypoxic-ischaemic injuries made the slowest and least complete recoveries. Older children made faster gross motor recoveries after controlling for aetiology. The time at which gross motor ability began to rise coincided approximately with admission to the rehabilitation facility.
INTERPRETATION: Aetiology is strongly associated with gross motor recovery after ABI. Younger age at injury was associated with slower recovery. Comparable item-difficulty scores in this sample and in the cerebral palsy population suggest comparable sequences of gross motor ability reacquisition.
© 2014 Mac Keith Press.

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Mesh:

Year:  2014        PMID: 25264904     DOI: 10.1111/dmcn.12592

Source DB:  PubMed          Journal:  Dev Med Child Neurol        ISSN: 0012-1622            Impact factor:   5.449


  6 in total

1.  Rasch Properties of the Cognitive and Linguistic Scale and Optimization for Outcome Trajectory Modeling in Pediatric Acquired Brain Injury.

Authors:  Adrian M Svingos; Stacy J Suskauer; Beth S Slomine; Hsuan Wei Chen; Michael E Ellis-Stockley; Rob J Forsyth
Journal:  Arch Phys Med Rehabil       Date:  2021-10-30       Impact factor: 4.060

2.  Modular Open-Source Software for Item Factor Analysis.

Authors:  Joshua N Pritikin; Micheal D Hunter; Steven Boker
Journal:  Educ Psychol Meas       Date:  2014-10-31       Impact factor: 2.821

3.  Rehabilitation of Upper Limb in Children with Acquired Brain Injury: A Preliminary Comparative Study.

Authors:  Elena Beretta; Ambra Cesareo; Emilia Biffi; Carolyn Schafer; Sara Galbiati; Sandra Strazzer
Journal:  J Healthc Eng       Date:  2018-03-14       Impact factor: 2.682

4.  Rehabilitation after paediatric acquired brain injury: Longitudinal change in content and effect on recovery.

Authors:  Rob J Forsyth; Liz Roberts; Rob Henderson; Lorna Wales
Journal:  Dev Med Child Neurol       Date:  2022-03-09       Impact factor: 4.864

5.  Ataxia and mobility in children following surgical resection of posterior fossa tumour: A longitudinal cohort study.

Authors:  H Hartley; S Lane; B Pizer; L Bunn; B Carter; E Cassidy; C Mallucci; R Kumar
Journal:  Childs Nerv Syst       Date:  2021-07-07       Impact factor: 1.475

Review 6.  Physical rehabilitation interventions in children with acquired brain injury: a scoping review.

Authors:  Christiaan Gmelig Meyling; Olaf Verschuren; Ingrid R Rentinck; Raoul H H Engelbert; Jan Willem Gorter
Journal:  Dev Med Child Neurol       Date:  2021-07-26       Impact factor: 4.864

  6 in total

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