Classification of dystonia in childhood

Daniel E. Lumsden; Hortensia Gimeno; Jean-Pierre Lin

doi:10.1016/j.parkreldis.2016.10.001

Classification of dystonia in childhood

Daniel E. Lumsden, Hortensia Gimeno, Jean-Pierre Lin

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

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Abstract

Objective

The most recent international consensus update on dystonia classification proposed a system based on 2 axes, clinical characteristics and aetiology. We aimed to apply this system to Children and Young People (CAYP) selected for movement disorder surgery, and determine if meaningful groupings of cases could be extracted.
Methods

The 2013 Consensus Committee classification system for dystonia was retrospectively applied to 145 CAYP with dystonic movement disorders. Two-step cluster analysis was applied to the resulting categorisations to identify groupings of CAYP with similar characteristics.
Results

Classification resulted in a total of 43 unique groupings of categorisation. Cluster analysis detected 4 main clusters of CAYP, comparable to previously used patient groupings.
Conclusions

The 2013 consensus update on dystonia classification can be applied to CAYP with dystonia. The large number of categories provides a wealth of information for the clinician, and also facilitates data driven grouping into clinically meaningful subgroups.

Original language	English
Journal	Parkinsonism & Related Disorders
DOIs	https://doi.org/10.1016/j.parkreldis.2016.10.001
Publication status	E-pub ahead of print - 3 Oct 2016

Keywords

Dystonia
Childhood
Classification

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10.1016/j.parkreldis.2016.10.001

Classification of dystonia_LUMSDEN_Accepted3October2016_GREEN AAMAccepted author manuscript, 565 KBLicence: CC BY-NC-ND

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title = "Classification of dystonia in childhood",

abstract = "ObjectiveThe most recent international consensus update on dystonia classification proposed a system based on 2 axes, clinical characteristics and aetiology. We aimed to apply this system to Children and Young People (CAYP) selected for movement disorder surgery, and determine if meaningful groupings of cases could be extracted.MethodsThe 2013 Consensus Committee classification system for dystonia was retrospectively applied to 145 CAYP with dystonic movement disorders. Two-step cluster analysis was applied to the resulting categorisations to identify groupings of CAYP with similar characteristics.ResultsClassification resulted in a total of 43 unique groupings of categorisation. Cluster analysis detected 4 main clusters of CAYP, comparable to previously used patient groupings.ConclusionsThe 2013 consensus update on dystonia classification can be applied to CAYP with dystonia. The large number of categories provides a wealth of information for the clinician, and also facilitates data driven grouping into clinically meaningful subgroups.",

keywords = "Dystonia, Childhood, Classification",

author = "Lumsden, {Daniel E.} and Hortensia Gimeno and Jean-Pierre Lin",

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TY - JOUR

T1 - Classification of dystonia in childhood

AU - Lumsden, Daniel E.

AU - Gimeno, Hortensia

AU - Lin, Jean-Pierre

PY - 2016/10/3

Y1 - 2016/10/3

N2 - ObjectiveThe most recent international consensus update on dystonia classification proposed a system based on 2 axes, clinical characteristics and aetiology. We aimed to apply this system to Children and Young People (CAYP) selected for movement disorder surgery, and determine if meaningful groupings of cases could be extracted.MethodsThe 2013 Consensus Committee classification system for dystonia was retrospectively applied to 145 CAYP with dystonic movement disorders. Two-step cluster analysis was applied to the resulting categorisations to identify groupings of CAYP with similar characteristics.ResultsClassification resulted in a total of 43 unique groupings of categorisation. Cluster analysis detected 4 main clusters of CAYP, comparable to previously used patient groupings.ConclusionsThe 2013 consensus update on dystonia classification can be applied to CAYP with dystonia. The large number of categories provides a wealth of information for the clinician, and also facilitates data driven grouping into clinically meaningful subgroups.

AB - ObjectiveThe most recent international consensus update on dystonia classification proposed a system based on 2 axes, clinical characteristics and aetiology. We aimed to apply this system to Children and Young People (CAYP) selected for movement disorder surgery, and determine if meaningful groupings of cases could be extracted.MethodsThe 2013 Consensus Committee classification system for dystonia was retrospectively applied to 145 CAYP with dystonic movement disorders. Two-step cluster analysis was applied to the resulting categorisations to identify groupings of CAYP with similar characteristics.ResultsClassification resulted in a total of 43 unique groupings of categorisation. Cluster analysis detected 4 main clusters of CAYP, comparable to previously used patient groupings.ConclusionsThe 2013 consensus update on dystonia classification can be applied to CAYP with dystonia. The large number of categories provides a wealth of information for the clinician, and also facilitates data driven grouping into clinically meaningful subgroups.

KW - Dystonia

KW - Childhood

KW - Classification

U2 - 10.1016/j.parkreldis.2016.10.001

DO - 10.1016/j.parkreldis.2016.10.001

M3 - Article

SN - 1353-8020

JO - Parkinsonism & Related Disorders

JF - Parkinsonism & Related Disorders

ER -

Classification of dystonia in childhood

Abstract

Keywords

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