Identification of joint patterns during gait in children with cerebral palsy: a Delphi consensus study

被引:33
|
作者
Nieuwenhuys, Angela [1 ]
Ounpuu, Sylvia [2 ]
Van Campenhout, Anja [3 ,4 ]
Theologis, Tim [5 ]
De Cat, Josse [1 ,6 ]
Stout, Jean [7 ]
Molenaers, Guy [3 ,4 ]
De Laet, Tinne [8 ]
Desloovere, Kaat [1 ,6 ]
机构
[1] Katholieke Univ Leuven, Dept Rehabil Sci, Leuven, Belgium
[2] Connecticut Childrens Med Ctr, Div Orthopaed, Ctr Motion Anal, Farmington, CT USA
[3] Katholieke Univ Leuven, Dept Dev & Regenerat, Leuven, Belgium
[4] Univ Hosp Leuven, Dept Orthoped, Leuven, Belgium
[5] Oxford Univ Hosp NHS Trust, Nuffield Orthopaed Ctr, Oxford, England
[6] Univ Hosp Leuven, Clin Motion Anal Lab, Leuven, Belgium
[7] Gillette Childrens Specialty Healthcare, St Paul, MN USA
[8] Katholieke Univ Leuven, Fac Engn Sci, Leuven, Belgium
来源
关键词
SPASTIC HEMIPLEGIA; BAYESIAN-APPROACH; CLASSIFICATION; KNEE; ABNORMALITIES; SURGERY;
D O I
10.1111/dmcn.12892
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
AIM This study aims to achieve an international expert consensus on joint patterns during gait for children with cerebral palsy (CP) by means of Delphi surveys. METHOD In Stage 1, seven local experts drafted a preliminary proposal of kinematic patterns for each lower limb joint in the sagittal, coronal, and transverse plane. In Stage 2, 13 experts from eight gait laboratories (four in the USA and four in Europe), participated in a Delphi consensus study. Consensus was defined by a pre-set cut-off point of 75% agreement among participants. RESULTS After the first stage, 44 joint patterns were presented in a first survey and 29 patterns reached consensus. Consensus improved to 47 out of 48 patterns in the third survey. Only one pattern, 'abnormal knee pattern during loading response', did not reach consensus. The expert panel agreed to define six patterns for the knee during swing, most of them representing characteristics of a stiff knee pattern. INTERPRETATION The defined joint patterns can support clinical reasoning for children with CP as joint patterns during gait might be linked to different treatment approaches. Automating the classification process and incorporating additional trunk, foot, and electromyography features should be prioritized for the near future.
引用
收藏
页码:306 / 313
页数:8
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