Using the Gross Motor Function Classification System to describe patterns of motor severity in cerebral palsy

被引:80
|
作者
Reid, Susan M. [1 ]
Carlin, John B. [1 ,2 ]
Reddihough, Dinah S. [1 ,2 ,3 ]
机构
[1] Univ Melbourne, Dept Paediat, Melbourne, Vic, Australia
[2] Murdoch Childrens Res Inst, Clin Epidemiol & Biostat Unit, Melbourne, Vic, Australia
[3] Royal Childrens Hosp, Dept Dev Med, Melbourne, Vic, Australia
来源
基金
英国医学研究理事会;
关键词
CHILDREN; RELIABILITY; DEFINITION; PREVALENCE; VALIDITY;
D O I
10.1111/j.1469-8749.2011.04044.x
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
AIM The aim of this study was to describe the distribution of motor severity levels and temporal trends in an Australian population cohort and to review the distribution of Gross Motor Function Classification System(GMFCS) levels across cerebral palsy (CP) registries worldwide. METHODS Data were extracted from the Victorian Cerebral Palsy Register for 3312 individuals (1852 males, 1460 females; mean age 21y 2mo [SD 9y 6mo]) with non-postneonatally acquired CP, born between 1970 and 2003. The proportions of each motor severity level were calculated and logistic regression analyses were used to assess trends over time. A systematic review of the literature was undertaken and GMFCS data were extracted based on previously devised criteria. The proportions were plotted and the degree of heterogeneity was assessed for each level. RESULTS Population data from Victoria suggested a proportional increase in mild motor impairment (GMFCS levels I/II) from 54% of all cases of CP in the 1970s to 61% in the 2000s. For nine CP registries worldwide, the mean proportions of each GMFCS level, from level I to V, were 34.2%, 25.6%, 11.5%, 13.7%, and 15.6% respectively. There was substantial heterogeneity between registries for all levels except level III. INTERPRETATION Despite the usefulness and reported reliability of the GMFCS, substantial variability was found in the distribution of GMFCS levels between population registries, particularly between levels I and II, suggesting greater classification uncertainty between these levels. Further research would be useful to determine whether routine collection of extra clinical information may facilitate more reliable classification.
引用
收藏
页码:1007 / 1012
页数:6
相关论文
共 50 条
  • [21] CLASSIFICATION OF CEREBRAL PALSY Association between gender, age, motor type, topography and Gross Motor Function
    Pfeifer, Luzia Iara
    Rodrigues Silva, Daniela Baleroni
    Rodrigues Funayama, Carolina Araujo
    Santos, Jair Licio
    ARQUIVOS DE NEURO-PSIQUIATRIA, 2009, 67 (04) : 1057 - 1061
  • [22] Gross motor function measure for children with cerebral palsy
    Wong, ECY
    Man, DWK
    INTERNATIONAL JOURNAL OF REHABILITATION RESEARCH, 2005, 28 (04) : 355 - 359
  • [23] Reliability of the gross motor function measure in cerebral palsy
    Nordmark, E
    Hagglund, G
    Jarnlo, GB
    SCANDINAVIAN JOURNAL OF REHABILITATION MEDICINE, 1997, 29 (01): : 25 - 28
  • [24] Cerebral palsy—are the definitions of the Gross Motor Functional Classification System too broad?
    Barry S Russman
    Nature Clinical Practice Neurology, 2007, 3 : 314 - 315
  • [25] Cerebral palsy - are the definitions of the Gross Motor Functional Classification System too broad?
    Russman, B. S.
    NATURE CLINICAL PRACTICE NEUROLOGY, 2007, 3 (06): : 314 - 315
  • [26] Gross Motor Function Classification System and outcome tools for assessing ambulatory cerebral palsy: a multicenter study
    Oeffinger, DJ
    Tylkowski, CM
    Rayens, MK
    Davis, RF
    Gorton, GE
    D'Astous, J
    Nicholson, DE
    Damiano, DL
    Abel, MF
    Bagley, AM
    Luan, J
    DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2004, 46 (05): : 311 - 319
  • [27] Expanded and revised gross motor function classification system: study for Chinese school children with cerebral palsy
    Shi, Wei
    Yang, Hong
    Li, Chu-yang
    Zhou, Mei-qin
    Zhu, Mo
    Wang, Yi
    Qian, Xu
    DISABILITY AND REHABILITATION, 2014, 36 (05) : 403 - 408
  • [28] Should the Gross Motor Function Classification System be used for children who do not have cerebral palsy?
    Towns, Megan
    Rosenbaum, Peter
    Palisano, Robert
    Wright, F. Virginia
    DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2018, 60 (02): : 147 - 154
  • [29] Correlation between ICIDH handicap code and Gross Motor Function Classification System in children with cerebral palsy
    Beckung, E
    Hagberg, G
    DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2000, 42 (10): : 669 - 673
  • [30] Measurement properties of the Gross Motor Function Classification System, Gross Motor Function Classification System-Expanded & Revised, Manual Ability Classification System, and Communication Function Classification System in cerebral palsy: a systematic review with meta-analysis
    Piscitelli, Daniele
    Ferrarello, Francesco
    Ugolini, Alessandro
    Verola, Sofia
    Pellicciari, Leonardo
    DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2021, 63 (11): : 1251 - 1261