2019
DOI: 10.1016/j.gaitpost.2019.06.017
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Factors influencing post-surgical variability in StepWatch data in youth with cerebral palsy

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Cited by 11 publications
(18 citation statements)
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“…16 Time since surgery, age, season, GMFCS level, and surgical burden are significant variables that may affect postoperative step counts for children with CP. 17 Surgical burden describes the challenges associated with the rehabilitation period for children with CP and their caregivers, which is correlated with the number of osteotomies completed in children. 17 Additionally, age, GMFCS level, and preoperative gait profile score are significant predictors of postoperative improvement in gait kinematics.…”
Section: Discussionmentioning
confidence: 99%
“…16 Time since surgery, age, season, GMFCS level, and surgical burden are significant variables that may affect postoperative step counts for children with CP. 17 Surgical burden describes the challenges associated with the rehabilitation period for children with CP and their caregivers, which is correlated with the number of osteotomies completed in children. 17 Additionally, age, GMFCS level, and preoperative gait profile score are significant predictors of postoperative improvement in gait kinematics.…”
Section: Discussionmentioning
confidence: 99%
“…A previous study from our institution examining StepWatch data in children with CP created a practical method for quantifying the amount of surgery performed during SEMLS. [ 21 ] This system categorized patients from 1 (lowest surgical burden) to 5 (highest surgical burden) based on a number of factors including whether unilateral or bilateral surgery was performed, whether bony or soft-tissue procedures were performed, and the number of procedures performed. When applying this system to the patients in our cohort, all patients were rated at the highest surgical burden, which did not allow for patient stratification.…”
Section: Discussionmentioning
confidence: 99%
“…The challenge in studying SEMLS performed for lower extremity deformity in patients with CP is both the heterogeneity of procedures and the variance in the number of procedures included among patients [7] . Previous studies controlled for this either by examining 1 specific procedure performed in the context of SEMLS [18–20] or by quantifying the amount of surgery based on postoperative rehabilitation demands of each type of procedure [21] . However, these approaches do not reflect the operative time or resources required to complete SEMLS.…”
Section: Introductionmentioning
confidence: 99%
“…174 Therefore, in the current study, the mean of two week-175 days and one weekend day was analysed to account for 176 this difference and to best capture overall activity lev-177 els. School term time versus school holidays as well as 178 seasonal variations in weather might also be expected 179 to impact on daily activity levels [30,31]. Therefore, 180 while the time of year of the assessment (school term 181 or summer) was not controlled in this study, the sea-182 son (spring, summer, fall, winter) was included in the 183 correlation analysis.…”
Section: Data Collection and Analysismentioning
confidence: 99%
“…Motor Function Classification System level (GMFCS) 196 were included in the overall correlation analysis as a 197 relationship between both PODCI scores and daily ac-198 tivity has previously been demonstrated in children with 199 CP [12,29]. Time of year (season) was included in the 200 correlation analysis of daily activity measures [30,31]. 201 Where both variables were continuous and normally 202 distributed, Pearson's correlation coefficients were cal-203 culated.…”
Section: Data Collection and Analysismentioning
confidence: 99%