Literature DB >> 17878781

Classification of spastic hemiplegic cerebral palsy in children.

Jacques Riad1, Yvonne Haglund-Akerlind, Freeman Miller.   

Abstract

BACKGROUND: The Winter classification of spastic hemiplegic cerebral palsy (CP) is based on sagittal kinematic data from 3-dimensional gait analysis used in preoperative decision making and postoperative evaluation. Our goal was to investigate how well children with spastic hemiplegic CP can be classified using Winter criteria. Second, we assessed if patients move between groups over time and/or with surgical intervention.
METHODS: One hundred twelve patients with spastic hemiplegic CP with a mean age of 8.1 years were included. Medical records and the full gait analysis data were reviewed. Patients were classified using Winter criteria, and an independent sample t test was used to compare groups.
RESULTS: We found 26 patients (23%) that could not be classified according to Winter criteria. We defined these patients as group 0. This group showed the least deviation from normal values. Each of the 5 groups in our study showed a higher mean velocity of gait and were younger than any of the groups from the Winter study. In regard to rotational alignment, kinetic variables, and, to a certain extent, muscle tone, group 0 showed the least deviation from normal values; however, most differences were subtle. When reclassifying patients after a mean of 3 years, 8 of 15 had deteriorated in the nonsurgical group, moving to a higher numbered group, whereas 19 of 31 surgically treated patients had improved.
CONCLUSIONS: The Winter classification failed to classify 23% (26/112) of our spastic hemiplegic CP children. We suggest that the classification be complemented with the less involved group 0. In this way, all patients can be classified, and thus, treatment plans can be established for all patients. The classification can be divided into ankle, knee, and hip joint involvement. The ankle involvement can be further divided into 3 separate groups. Treating physicians should be aware of the possibility that patients may move into another classification group over time. LEVEL OF EVIDENCE: Diagnostic level 4. See instructions to authors for a complete description of levels of evidence.

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Year:  2007        PMID: 17878781     DOI: 10.1097/BPO.0b013e3181558a15

Source DB:  PubMed          Journal:  J Pediatr Orthop        ISSN: 0271-6798            Impact factor:   2.324


  7 in total

1.  Multilevel surgery improves gait in spastic hemiplegia but does not resolve hip dysplasia.

Authors:  Erich Rutz; Elyse Passmore; Richard Baker; H Kerr Graham
Journal:  Clin Orthop Relat Res       Date:  2012-05       Impact factor: 4.176

2.  Are muscle volume differences related to concentric muscle work during walking in spastic hemiplegic cerebral palsy?

Authors:  Jacques Riad; Christopher M Modlesky; E M Gutierrez-Farewik; Eva Broström
Journal:  Clin Orthop Relat Res       Date:  2012-05       Impact factor: 4.176

3.  GMFCS Level-Specific Differences in Kinematics and Joint Moments of the Involved Side in Unilateral Cerebral Palsy.

Authors:  Stefanos Tsitlakidis; Nicholas A Beckmann; Sebastian I Wolf; Sébastien Hagmann; Tobias Renkawitz; Marco Götze
Journal:  J Clin Med       Date:  2022-05-02       Impact factor: 4.964

4.  Prevalence of Joint Gait Patterns Defined by a Delphi Consensus Study Is Related to Gross Motor Function, Topographical Classification, Weakness, and Spasticity, in Children with Cerebral Palsy.

Authors:  Angela Nieuwenhuys; Eirini Papageorgiou; Simon-Henri Schless; Tinne De Laet; Guy Molenaers; Kaat Desloovere
Journal:  Front Hum Neurosci       Date:  2017-04-12       Impact factor: 3.169

5.  Gait Classification in Unilateral Cerebral Palsy.

Authors:  Stefanos Tsitlakidis; Axel Horsch; Felix Schaefer; Fabian Westhauser; Marco Goetze; Sebastien Hagmann; Matthias C M Klotz
Journal:  J Clin Med       Date:  2019-10-11       Impact factor: 4.241

6.  Transversal Malalignment and Proximal Involvement Play a Relevant Role in Unilateral Cerebral Palsy Regardless the Subtype.

Authors:  Stefanos Tsitlakidis; Sarah Campos; Nicholas A Beckmann; Sebastian I Wolf; Sébastien Hagmann; Tobias Renkawitz; Marco Götze
Journal:  J Clin Med       Date:  2022-08-17       Impact factor: 4.964

7.  Gait patterns in hemiplegic patients with equinus foot deformity.

Authors:  M Manca; G Ferraresi; M Cosma; L Cavazzuti; M Morelli; M G Benedetti
Journal:  Biomed Res Int       Date:  2014-04-22       Impact factor: 3.411

  7 in total

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