Determinants of gait dystonia severity in cerebral palsy.


Journal

Developmental medicine and child neurology
ISSN: 1469-8749
Titre abrégé: Dev Med Child Neurol
Pays: England
ID NLM: 0006761

Informations de publication

Date de publication:
07 2023
Historique:
revised: 04 11 2022
received: 13 06 2022
accepted: 10 12 2022
pmc-release: 01 07 2024
medline: 5 6 2023
pubmed: 27 1 2023
entrez: 26 1 2023
Statut: ppublish

Résumé

To determine the movement features governing expert assessment of gait dystonia severity in individuals with cerebral palsy (CP). In this prospective cohort study, three movement disorder neurologists graded lower extremity dystonia severity in gait videos of individuals with CP using a 10-point Likert-like scale. Using conventional content analysis, we determined the features experts cited when grading dystonia severity. Then, using open-source pose estimation techniques, we determined gait variable analogs of these expert-cited features correlating with their assessments of dystonia severity. Experts assessed videos from 116 participants (46 with dystonia aged 15 years [SD 3] and 70 without dystonia aged 15 years [SD 2], both groups ranging 10-20 years old and 50% male). Variable limb adduction was most commonly cited by experts when identifying dystonia, comprising 60% of expert statements. Effect on gait (regularity, stability, trajectory, speed) and dystonia amplitude were common features experts used to determine dystonia severity, comprising 19% and 13% of statements respectively. Gait variables assessing adduction variability and amplitude (inter-ankle distance variance and foot adduction amplitude) were significantly correlated with expert assessment of dystonia severity (multiple linear regression, p < 0.001). Adduction variability and amplitude are quantifiable gait features that correlate with expert-determined gait dystonia severity in individuals with CP. Consideration of these features could help optimize and standardize the clinical assessment of gait dystonia severity in individuals with CP.

Identifiants

pubmed: 36701240
doi: 10.1111/dmcn.15524
pmc: PMC10392706
mid: NIHMS1895689
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

968-977

Subventions

Organisme : NINDS NIH HHS
ID : K08 NS117850
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS107281
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS075321
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS103957
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS094292
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS124789
Pays : United States
Organisme : NINDS NIH HHS
ID : U54 NS116025
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2023 Mac Keith Press.

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Auteurs

Bhooma R Aravamuthan (BR)

Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.

Toni S Pearson (TS)

Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.

Keisuke Ueda (K)

Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.

Hanyang Miao (H)

Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.

Gazelle Zerafati-Jahromi (G)

Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.

Laura Gilbert (L)

Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St Louis, MO, USA.

Cynthia Comella (C)

Department of Neurological Sciences, Rush University, Chicago, IL, USA.

Joel S Perlmutter (JS)

Departments of Neurology, Radiology, Neuroscience, Physical Therapy, and Occupational Therapy, Washington University School of Medicine, St Louis, MO, USA.

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Classifications MeSH