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Titre : | Determining Levels of Upper Extremity Movement Impairment by Applying a Cluster Analysis to the Fugl-Meyer Assessment of the Upper Extremity in Chronic Stroke (2017) |
Auteurs : | Elizabeth J. Woytowicz ; Jeremy C. Rietschel ; Ronald N. Goodman |
Type de document : | Article |
Dans : | Archives of Physical Medicine and Rehabilitation (2017/3, 2017) |
Article en page(s) : | pp. 456-462 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Accident vasculaire cérébral (AVC) ; Analyse de regroupements ; Membre supérieur ; Rééducation et réadaptation |
Mots-clés: | Cluster analysis ; Stroke ; Upper extremity |
Résumé : |
Objective To quantitatively determine levels of upper extremity movement impairment by using a cluster analysis of the Fugl-Meyer Assessment of the Upper Extremity (FMA-UE) with and without reflex items. Design Secondary analysis. Setting University and research centers. Participants Individuals (N=247) with chronic stroke (>6mo poststroke). Interventions Not applicable. Main Outcome Measures Cutoff scores defined by FMA-UE total scores of clusters identified by 2 hierarchical cluster analyses performed on the full sample of FMA-UE individual item scores (with and without reflexes). Patterns of motor function defined by aggregate item scores of clusters. Results FMA-UE scores ranged from 2 to 63 (mean, 26.9+15.7) with reflex items and from 0 to 57 (mean, 22.1+15.3) without reflex items. Three clusters were identified. The distributions of the FMA-UE scores revealed considerable overlap between the clusters; therefore, 4 distinct stroke impairment levels were derived. Conclusions For chronic stroke, the cluster analysis of the FMA-UE supports either a 3- or a 4-impairment level classification scheme. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S000399931630404X |