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Determining Levels of Upper Extremity Movement Impairment by Applying a Cluster Analysis to the Fugl-Meyer Assessment of the Upper Extremity in Chronic Stroke.
Woytowicz, Elizabeth J; Rietschel, Jeremy C; Goodman, Ronald N; Conroy, Susan S; Sorkin, John D; Whitall, Jill; McCombe Waller, Sandy.
Afiliación
  • Woytowicz EJ; Department of Physical Therapy and Rehabilitation Science, University of Maryland, Baltimore, Baltimore, MD.
  • Rietschel JC; Maryland Exercise and Robotics Center of Excellence, Baltimore Veteran Affairs Medical Center, Baltimore, MD.
  • Goodman RN; Maryland Exercise and Robotics Center of Excellence, Baltimore Veteran Affairs Medical Center, Baltimore, MD.
  • Conroy SS; Maryland Exercise and Robotics Center of Excellence, Baltimore Veteran Affairs Medical Center, Baltimore, MD.
  • Sorkin JD; Department of Medicine, School of Medicine, University of Maryland, Baltimore, Baltimore, MD.
  • Whitall J; Department of Physical Therapy and Rehabilitation Science, University of Maryland, Baltimore, Baltimore, MD; Maryland Exercise and Robotics Center of Excellence, Baltimore Veteran Affairs Medical Center, Baltimore, MD; Faculty of Health Sciences, University of Southampton, Southampton, United Kingdo
  • McCombe Waller S; Department of Physical Therapy and Rehabilitation Science, University of Maryland, Baltimore, Baltimore, MD.
Arch Phys Med Rehabil ; 98(3): 456-462, 2017 03.
Article en En | MEDLINE | ID: mdl-27519928
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modalidades de Fisioterapia / Accidente Cerebrovascular / Extremidad Superior / Evaluación de la Discapacidad Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Arch Phys Med Rehabil Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modalidades de Fisioterapia / Accidente Cerebrovascular / Extremidad Superior / Evaluación de la Discapacidad Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Arch Phys Med Rehabil Año: 2017 Tipo del documento: Article Pais de publicación: Estados Unidos