TY - JOUR
T1 - Gross motor function classification system and outcome tools for assessing ambulatory cerebral palsy
T2 - A multicenter study
AU - Oeffinger, D. J.
AU - Tylkowski, C. M.
AU - Rayens, M. K.
AU - Davis, R. F.
AU - Gorton, G. E.
AU - D'Astous, J.
AU - Nicholson, D. E.
AU - Damiano, D. L.
AU - Abel, M. F.
AU - Bagley, A. M.
AU - Luan, J.
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/5
Y1 - 2004/5
N2 - The relationships between different levels of severity of ambulatory cerebral palsy, defined by the Gross Motor Function Classification System (GMFCS), and several pediatric outcome instruments were examined. Data from the Gross Motor Function Measure (GMFM), Pediatric Orthopaedic Data Collection Instrument (PODCI), temporal-spatial gait parameters, and oxygen cost were collected from six sites. The sample size for each assessment tool ranged from 226 to 1047 participants. There were significant differences among GMFCS levels I, II, and III for many of the outcome tools assessed in this study. Strong correlations were seen between GMFCS level and each of the GMFM sections D and E scores, the PODCI measures of Transfer and Mobility, and Sports and Physical Function, Gait Velocity, and Oxygen Cost. Correlations among tools demonstrated that the GMFM sections D and E scores correlated with the largest number of other tools. Logistic regression showed GMFM section E score to be a significant predictor of GMFCS level. GMFM section E score can be used to predict GMFCS level relatively accurately (76.6%). Study data indicate that the assessed outcome tools can distinguish between children with different GMFCS levels. This study establishes justification for using the GMFCS as a classification system in clinical studies.
AB - The relationships between different levels of severity of ambulatory cerebral palsy, defined by the Gross Motor Function Classification System (GMFCS), and several pediatric outcome instruments were examined. Data from the Gross Motor Function Measure (GMFM), Pediatric Orthopaedic Data Collection Instrument (PODCI), temporal-spatial gait parameters, and oxygen cost were collected from six sites. The sample size for each assessment tool ranged from 226 to 1047 participants. There were significant differences among GMFCS levels I, II, and III for many of the outcome tools assessed in this study. Strong correlations were seen between GMFCS level and each of the GMFM sections D and E scores, the PODCI measures of Transfer and Mobility, and Sports and Physical Function, Gait Velocity, and Oxygen Cost. Correlations among tools demonstrated that the GMFM sections D and E scores correlated with the largest number of other tools. Logistic regression showed GMFM section E score to be a significant predictor of GMFCS level. GMFM section E score can be used to predict GMFCS level relatively accurately (76.6%). Study data indicate that the assessed outcome tools can distinguish between children with different GMFCS levels. This study establishes justification for using the GMFCS as a classification system in clinical studies.
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U2 - 10.1017/S0012162204000519
DO - 10.1017/S0012162204000519
M3 - Article
C2 - 15132261
AN - SCOPUS:2342526529
SN - 0012-1622
VL - 46
SP - 311
EP - 319
JO - Developmental Medicine and Child Neurology
JF - Developmental Medicine and Child Neurology
IS - 5
ER -