Repeatability of Gait Deviations in Children With Cerebral Palsy
Repeatability of Gait of Children With Spastic Cerebral Palsy in Different Walking Conditions
1 other identifier
observational
10
1 country
1
Brief Summary
Three-dimensional gait analysis (3DGA) is the 'gold standard' for measurement and description of gait. Gait variability can arise from intrinsic and extrinsic factors and may vary between walking conditions. This study aimed to define the inter-trial (intrinsic) and inter-session (extrinsic) repeatability in gait analysis data of children with CP who were walking in four conditions, namely barefoot or with ankle-foot orthosis, and overground or treadmill.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Aug 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 17, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2023
CompletedFirst Submitted
Initial submission to the registry
April 2, 2024
CompletedFirst Posted
Study publicly available on registry
April 10, 2024
CompletedApril 15, 2024
April 1, 2024
1.8 years
April 2, 2024
April 12, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
The standard error of measurement (SEM) of the continuous kinematic gait waveforms
The SEM, is the standard deviation of a number of measurements made on the same participant. SEM= √((∑▒〖deviations\^2 〗)/(degrees of freedom)). The primary advantage of the SEM lies in providing a direct indication of measurement error in the same units as the original measurement. This characteristic makes the use of SEM particularly clinically relevant. The SEM was used as a statistical analysis for determining the inter-trial and -session variability of the kinematic continuous waveforms in the sagittal plane of the hip, knee and ankle joint. Thereby, the SEM was calculated timepoint-by-timepoint from the continues waveforms, according to the methods of Schwartz et al. \[4\]
A period of 1-14 days is foreseen between the two measurements (3DGA)
The intra-class correlation (ICC) of the gait indices
The inter-trial and -session variability was defined by the use of the intra-class correlation coefficient (ICC; 2,1) (two-way random model with absolute agreement), along with the 95% confidence interval of the gait indices (i.e., the gait profile score and the gait variable score of the hip flexion, the knee flexion and the ankle dorsiflexion).
A period of 1-14 days is foreseen between the two measurements (3DGA)
The standard error of measurement (SEM) of the continuous kinetic gait waveforms
The SEM, is the standard deviation of a number of measurements made on the same participant. SEM= √((∑▒〖deviations\^2 〗)/(degrees of freedom)). The primary advantage of the SEM lies in providing a direct indication of measurement error in the same units as the original measurement. This characteristic makes the use of SEM particularly clinically relevant. The SEM was used as a statistical analysis for determining the inter-trial and -session variability of the kinetic continuous waveforms (i.e., moments \& powers) in the sagittal plane of the hip, knee and ankle joint. Thereby, the SEM was calculated timepoint-by-timepoint from the continues waveforms, according to the methods of Schwartz et al. \[4\]
A period of 1-14 days is foreseen between the two measurements (3DGA)
The standard error of measurement (SEM) of the gait indices
The SEM, is the standard deviation of a number of measurements made on the same participant. SEM= SD x √(1-ICC), where SD is the standard deviation of the grand mean (mean of session 1 and session 2) from all participants. The SEM was calculated for the gait indices (i.e., the gait profile score and the gait variable score of the hip flexion, the knee flexion and the ankle dorsiflexion). The primary advantage of the SEM lies in providing a direct indication of measurement error in the same units as the original measurement, which makes the use of SEM particularly clinically relevant.
A period of 1-14 days is foreseen between the two measurements (3DGA)
Study Arms (2)
Ambulatory children with spastic CP
Ambulant children with cerebral palsy between 6 and 17 years old with a consistent gait pattern. They have prescribed ankle-foot orthoses by the medical team as part of the standard care.
TD children
Our TD-database of the Clinical Motion Analysis Laboratory (CMAL) of UZ Leuven was used for the calculation of the gait indices.
Interventions
An observational 3D gait-analysis was performed with a period of 1-14 days is foreseen between the two measurements.
Eligibility Criteria
Ambulant children with cerebral palsy between 6 and 17 years old with a consistent gait pattern. They have prescribed ankle-foot orthoses by the medical team as part of the standard care.
You may qualify if:
- Gross Motor Function Classification System (GMFCS) level I - III
- CP (bilateral \& unilateral)
- Age: 6 - 17 years
- Prescribed AFO by the medical team (as part of the standard care)
You may not qualify if:
- Severe contractures or spasticity, which makes it impossible to wear a conventional AFO
- Cognitive or visual impairment that hinder them to understand instructions
- Previous surgery on bones and/or muscles of the legs in the last 12 months prior to assessment
- Presence of ataxia or dystonia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UZ Leuven
Leuven, Vlaams-Brabant, 3000, Belgium
Related Publications (5)
Graham HK, Rosenbaum P, Paneth N, Dan B, Lin JP, Damiano DL, Becher JG, Gaebler-Spira D, Colver A, Reddihough DS, Crompton KE, Lieber RL. Cerebral palsy. Nat Rev Dis Primers. 2016 Jan 7;2:15082. doi: 10.1038/nrdp.2015.82.
PMID: 27188686BACKGROUNDSankar C, Mundkur N. Cerebral palsy-definition, classification, etiology and early diagnosis. Indian J Pediatr. 2005 Oct;72(10):865-8. doi: 10.1007/BF02731117.
PMID: 16272660BACKGROUNDMorris C, Bowers R, Ross K, Stevens P, Phillips D. Orthotic management of cerebral palsy: recommendations from a consensus conference. NeuroRehabilitation. 2011;28(1):37-46. doi: 10.3233/NRE-2011-0630.
PMID: 21335676BACKGROUNDSchwartz MH, Trost JP, Wervey RA. Measurement and management of errors in quantitative gait data. Gait Posture. 2004 Oct;20(2):196-203. doi: 10.1016/j.gaitpost.2003.09.011.
PMID: 15336291BACKGROUNDEveraert L, Dewit T, Huenaerts C, Van Campenhout A, Labey L, Desloovere K. Repeatability of gait of children with spastic cerebral palsy in different walking conditions. J Biomech. 2024 Nov;176:112301. doi: 10.1016/j.jbiomech.2024.112301. Epub 2024 Aug 31.
PMID: 39265255DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Kaat Desloovere, prof. dr.
Department of Rehabilitation Sciences, KU Leuven, Belgium
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof. Dr.
Study Record Dates
First Submitted
April 2, 2024
First Posted
April 10, 2024
Study Start
August 17, 2021
Primary Completion
May 31, 2023
Study Completion
May 31, 2023
Last Updated
April 15, 2024
Record last verified: 2024-04