Introduction: Gait Analysis (GA) is often used in the assessment of the gait abilities of children with motor disorders, such as cerebral palsy (CP) and to quantify improvements/variations after a treatment [1]. A GA clinical report is generally difficult to read and requires a specific training of the clinicians. To simplify overall GA data interpretation, some synthetic descriptors were devel- oped, as the Gait Profile Score (GPS) and Movement Analysis Profile (MAP) [2]. GPS compares the measured GA features to a normality dataset, quantifying the overall deviation from normality. In MAP, each gait feature is compared to the respective normality, therefore a deviation index is available for each feature. Such analysis is useful to quickly identify, quantify and interpret gait variations in subjects with CP that underwent a treatment such as SEML surgery, that involves bone repositioning and muscle/tendon lengthening at the level of the femur and hamstring group. Research question: What are the changes in gait profiles in subjects with CP, who received SEML surgical treatment. Methods: GA exams of 12 children with CP (age 12.8 ? 2.2 years, 9 males, 3 females), pre and post SEML treatment, were collected in the Motion Analysis Laboratory of VUmc, Amsterdam, NL. Datasets consisted in 9 bilateral gait features, as required to compute GPS [2] (pelvic tilt, obliquity and rotation; hip flexion, abduction and rotation; knee flexion; ankle dorsiflexion and foot progression), obtained as average of 5 walking trials. For each subject, GPS and MAP indices were computed for both sides. A total of 24 hemisides were examined. Variations in gait features were quantified by post-pre difference in all parameters. Results were then averaged across the subjects. Statistical t-test was used to assess differences pre-post. To interpret results, a Minimally Clinical Important Difference (MCID) of 1.6 degrees was considered for GPS [3]. Results: Absolute values of pre-post differences were higher than the MCID for all parameters, except pelvic rotation. An improvement towards normality was observed in all the param- eters, with the exception of pelvic tilt and hip flexion for which a worsening was observed. Average values and SDs for the selected indices are represented through bar graphs in the figure.

Analysis of gait features variation pre and post SEML surgery in CP by means of GPS and MAP / Ancillao, Andrea; van der Krogt, M; Buizer, A; Witbreuk, M; Cappa, Paolo; Harlaar, J.. - In: GAIT & POSTURE. - ISSN 0966-6362. - STAMPA. - 49S:Supplement 2(2016), p. 120. (Intervento presentato al convegno European Society for Movement Analysis in Adults and Children (ESMAC) 25th Annual Meeting tenutosi a Seville, Andalucia, Spain) [10.1016/j.gaitpost.2016.07.175].

Analysis of gait features variation pre and post SEML surgery in CP by means of GPS and MAP

ANCILLAO, ANDREA
;
CAPPA, Paolo;
2016

Abstract

Introduction: Gait Analysis (GA) is often used in the assessment of the gait abilities of children with motor disorders, such as cerebral palsy (CP) and to quantify improvements/variations after a treatment [1]. A GA clinical report is generally difficult to read and requires a specific training of the clinicians. To simplify overall GA data interpretation, some synthetic descriptors were devel- oped, as the Gait Profile Score (GPS) and Movement Analysis Profile (MAP) [2]. GPS compares the measured GA features to a normality dataset, quantifying the overall deviation from normality. In MAP, each gait feature is compared to the respective normality, therefore a deviation index is available for each feature. Such analysis is useful to quickly identify, quantify and interpret gait variations in subjects with CP that underwent a treatment such as SEML surgery, that involves bone repositioning and muscle/tendon lengthening at the level of the femur and hamstring group. Research question: What are the changes in gait profiles in subjects with CP, who received SEML surgical treatment. Methods: GA exams of 12 children with CP (age 12.8 ? 2.2 years, 9 males, 3 females), pre and post SEML treatment, were collected in the Motion Analysis Laboratory of VUmc, Amsterdam, NL. Datasets consisted in 9 bilateral gait features, as required to compute GPS [2] (pelvic tilt, obliquity and rotation; hip flexion, abduction and rotation; knee flexion; ankle dorsiflexion and foot progression), obtained as average of 5 walking trials. For each subject, GPS and MAP indices were computed for both sides. A total of 24 hemisides were examined. Variations in gait features were quantified by post-pre difference in all parameters. Results were then averaged across the subjects. Statistical t-test was used to assess differences pre-post. To interpret results, a Minimally Clinical Important Difference (MCID) of 1.6 degrees was considered for GPS [3]. Results: Absolute values of pre-post differences were higher than the MCID for all parameters, except pelvic rotation. An improvement towards normality was observed in all the param- eters, with the exception of pelvic tilt and hip flexion for which a worsening was observed. Average values and SDs for the selected indices are represented through bar graphs in the figure.
2016
European Society for Movement Analysis in Adults and Children (ESMAC) 25th Annual Meeting
04 Pubblicazione in atti di convegno::04d Abstract in atti di convegno
Analysis of gait features variation pre and post SEML surgery in CP by means of GPS and MAP / Ancillao, Andrea; van der Krogt, M; Buizer, A; Witbreuk, M; Cappa, Paolo; Harlaar, J.. - In: GAIT & POSTURE. - ISSN 0966-6362. - STAMPA. - 49S:Supplement 2(2016), p. 120. (Intervento presentato al convegno European Society for Movement Analysis in Adults and Children (ESMAC) 25th Annual Meeting tenutosi a Seville, Andalucia, Spain) [10.1016/j.gaitpost.2016.07.175].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/927748
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