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Quantitative gait assessment in children with 16p11.2 syndrome

BACKGROUND: Neurodevelopmental disorders such as 16p11.2 syndrome are frequently associated with motor impairments including locomotion. The lack of precise measures of gait, combined with the challenges inherent in studying children with neurodevelopmental disorders, hinders quantitative motor asse...

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Autores principales: Goldman, Sylvie, McCullough, Aston K., Young, Sally Dunaway, Mueller, Carly, Stahl, Adrianna, Zoeller, Audrey, Abbruzzese, Laurel Daniels, Rao, Ashwini K., Montes, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816222/
https://www.ncbi.nlm.nih.gov/pubmed/31656164
http://dx.doi.org/10.1186/s11689-019-9286-9
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author Goldman, Sylvie
McCullough, Aston K.
Young, Sally Dunaway
Mueller, Carly
Stahl, Adrianna
Zoeller, Audrey
Abbruzzese, Laurel Daniels
Rao, Ashwini K.
Montes, Jacqueline
author_facet Goldman, Sylvie
McCullough, Aston K.
Young, Sally Dunaway
Mueller, Carly
Stahl, Adrianna
Zoeller, Audrey
Abbruzzese, Laurel Daniels
Rao, Ashwini K.
Montes, Jacqueline
author_sort Goldman, Sylvie
collection PubMed
description BACKGROUND: Neurodevelopmental disorders such as 16p11.2 syndrome are frequently associated with motor impairments including locomotion. The lack of precise measures of gait, combined with the challenges inherent in studying children with neurodevelopmental disorders, hinders quantitative motor assessments. Gait and balance are quantifiable measures that may help to refine the motor phenotype in 16p11.2. The characterization of motor profile is useful to study the trajectories of locomotion performance of children with genetic variants and may provide insights into neural pathway dysfunction based on genotype/phenotype model. METHODS: Thirty-six children (21 probands with 16p11.2 deletion and duplication mutation and 15 unaffected siblings), with a mean age of 8.5 years (range 3.2–15.4) and 55% male, were enrolled. Of the probands, 23% (n = 6) had a confirmed diagnosis of autism spectrum disorder (ASD) and were all male. Gait assessments included 6-min walk test (6MWT), 10-m walk/run test (10MWR), timed-up-and-go test (TUG), and spatio-temporal measurements of preferred- and fast-paced walking. The Pediatric Evaluation of Disability Inventory-Computer Adaptive Tests (PEDI-CAT), a caregiver-reported functional assessment, was administered. Measures of balance were calculated using percent time in double support and base of support. Analyses of the six children with ASD were described separately. RESULTS: Thirty-six participants completed the protocol. Compared with sibling controls, probands had significantly lower scores on the 6MWT (p = 0.04), 10MWR (p = 0.01), and TUG (p = 0.005). Group differences were also identified in base of support (p = 0.003). Probands had significantly lower PEDI-CAT scores in all domains including the mobility scale (p < 0.001). Using age-matched subsamples, the ASD and non-ASD genetic variant groups had larger base of support compared to the controls. In the fast-paced condition, all participants increased their velocity, and there was a corresponding decrease in percent time in double support compared to the preferred-pace condition in all participants. Only the ASD group presented with upper limb arm/hand stereotypies. CONCLUSIONS: Children with 16p11.2, with and without ASD, present with balance impairment during locomotion activities. Probands performed worse on functional assessments, and quantitative measures revealed differences in base of support. These results highlight the importance of using precise measures to differentiate motor dysfunction in children with neurodevelopmental disorders.
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spelling pubmed-68162222019-10-31 Quantitative gait assessment in children with 16p11.2 syndrome Goldman, Sylvie McCullough, Aston K. Young, Sally Dunaway Mueller, Carly Stahl, Adrianna Zoeller, Audrey Abbruzzese, Laurel Daniels Rao, Ashwini K. Montes, Jacqueline J Neurodev Disord Research BACKGROUND: Neurodevelopmental disorders such as 16p11.2 syndrome are frequently associated with motor impairments including locomotion. The lack of precise measures of gait, combined with the challenges inherent in studying children with neurodevelopmental disorders, hinders quantitative motor assessments. Gait and balance are quantifiable measures that may help to refine the motor phenotype in 16p11.2. The characterization of motor profile is useful to study the trajectories of locomotion performance of children with genetic variants and may provide insights into neural pathway dysfunction based on genotype/phenotype model. METHODS: Thirty-six children (21 probands with 16p11.2 deletion and duplication mutation and 15 unaffected siblings), with a mean age of 8.5 years (range 3.2–15.4) and 55% male, were enrolled. Of the probands, 23% (n = 6) had a confirmed diagnosis of autism spectrum disorder (ASD) and were all male. Gait assessments included 6-min walk test (6MWT), 10-m walk/run test (10MWR), timed-up-and-go test (TUG), and spatio-temporal measurements of preferred- and fast-paced walking. The Pediatric Evaluation of Disability Inventory-Computer Adaptive Tests (PEDI-CAT), a caregiver-reported functional assessment, was administered. Measures of balance were calculated using percent time in double support and base of support. Analyses of the six children with ASD were described separately. RESULTS: Thirty-six participants completed the protocol. Compared with sibling controls, probands had significantly lower scores on the 6MWT (p = 0.04), 10MWR (p = 0.01), and TUG (p = 0.005). Group differences were also identified in base of support (p = 0.003). Probands had significantly lower PEDI-CAT scores in all domains including the mobility scale (p < 0.001). Using age-matched subsamples, the ASD and non-ASD genetic variant groups had larger base of support compared to the controls. In the fast-paced condition, all participants increased their velocity, and there was a corresponding decrease in percent time in double support compared to the preferred-pace condition in all participants. Only the ASD group presented with upper limb arm/hand stereotypies. CONCLUSIONS: Children with 16p11.2, with and without ASD, present with balance impairment during locomotion activities. Probands performed worse on functional assessments, and quantitative measures revealed differences in base of support. These results highlight the importance of using precise measures to differentiate motor dysfunction in children with neurodevelopmental disorders. BioMed Central 2019-10-27 /pmc/articles/PMC6816222/ /pubmed/31656164 http://dx.doi.org/10.1186/s11689-019-9286-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Goldman, Sylvie
McCullough, Aston K.
Young, Sally Dunaway
Mueller, Carly
Stahl, Adrianna
Zoeller, Audrey
Abbruzzese, Laurel Daniels
Rao, Ashwini K.
Montes, Jacqueline
Quantitative gait assessment in children with 16p11.2 syndrome
title Quantitative gait assessment in children with 16p11.2 syndrome
title_full Quantitative gait assessment in children with 16p11.2 syndrome
title_fullStr Quantitative gait assessment in children with 16p11.2 syndrome
title_full_unstemmed Quantitative gait assessment in children with 16p11.2 syndrome
title_short Quantitative gait assessment in children with 16p11.2 syndrome
title_sort quantitative gait assessment in children with 16p11.2 syndrome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816222/
https://www.ncbi.nlm.nih.gov/pubmed/31656164
http://dx.doi.org/10.1186/s11689-019-9286-9
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