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Prediction of Gait without Physical Assistance after Inpatient Rehabilitation in Severe Subacute Stroke Subjects

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dc.contributor.author Gianella, Matías Gabriel
dc.contributor.author Gath, Christian Federico
dc.contributor.author Bonamico, Lucas
dc.contributor.author Olmos, Lisandro Emilio
dc.contributor.author Russo, María Julieta
dc.date.accessioned 2019-10-17T17:47:39Z
dc.date.available 2019-10-17T17:47:39Z
dc.date.issued 2019-09-10
dc.identifier.citation Gianella MG, Gath CF, Bonamico L, Olmos LE, Russo MJ. Prediction of Gait without Physical Assistance after Inpatient Rehabilitation in Severe Subacute Stroke Subjects. J Stroke Cerebrovasc Dis. 2019;0(0):104367. doi:10.1016/j.jstrokecerebrovasdis.2019.104367 en_US
dc.identifier.uri https://repositorio.fleni.org.ar/handle/123456789/62
dc.identifier.uri https://doi.org/10.1016/j.jstrokecerebrovasdis.2019.104367
dc.description.abstract BACKGROUND: Gait recovery is one of the main therapeutic goals of the rehabilitation for patients after a stroke. OBJECTIVE: This study is aimed at describing the frequency of achievement of gait without physical assistance in poststroke subacute patients by the time of discharge from a rehabilitation hospitalized program. Secondarily, our goal is to identify gait without physical assistance predictors in this same population based on the admission's clinical and demographic conditions. METHODS: Data from 185 first unilateral hemispheric stroke patients that need physical assistance to walk at admission were analyzed. The sample was dichotomized into gait with physical assistance and gait without physical assistance to calculate the frequency of achievement of gait without assistance at discharge. Multivariate logistic modeling was applied to identify prognostic factors for regaining gait without physical assistance. RESULTS: Gait without assistance was achieved in 50.27% of the subjects. Five variables were identified for the prediction model: age (Odds ratio [OR] = .87, 95% confidence interval [CI] = .83-.92), gender (OR = .37, 95% CI = .14-.94), time between stroke and hospitalization (OR = .96, 95% CI = .94-.99), initial Berg Balance (OR = 1.52, 95% CI = 1.23-1.88), and initial lower limb Fugl Meyer (OR = 1.17, 95% CI = 1.07-1.27). CONCLUSIONS: Although discharge planning is complex, achievement of gait without physical assistance is undoubtedly a landmark to decide on hospitalization discharge. Half of this sample was able to walk without physical assistance at hospitalization discharge. Five clinical and demographic conditions at admission were found predictors of gait without physical assistance at inpatient discharge. en_US
dc.description.uri https://doi.org/10.1016/j.jstrokecerebrovasdis.2019.104367
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Accidente Cerebrovascular en_US
dc.subject Stroke en_US
dc.subject Gait en_US
dc.subject Marcha en_US
dc.subject Rehabilitation en_US
dc.subject Rehabilitación en_US
dc.title Prediction of Gait without Physical Assistance after Inpatient Rehabilitation in Severe Subacute Stroke Subjects en_US
dc.type info:eu-repo/semantics/publishedVersion
dc.type info:eu-repo/semantics/article en_US
dc.description.fil Fil: Gianella, Matías Gabriel. Fleni. Centro de Rehabilitación Adultos CR. Servicio de Kinesiología; Argentina.
dc.description.fil Fil: Gath, Christian Federico. Fleni. Centro de Rehabilitación Adultos CR. Servicio de Kinesiología; Argentina.
dc.description.fil Fil: Bonamico, Lucas. Fleni. Centro de Rehabilitación Adultos CR. Servicio de Neurorehabilitación; Argentina.
dc.description.fil Fil: Olmos, Lisandro Emilio. Fleni. Centro de Rehabilitación Adultos CR; Argentina.
dc.description.fil Fil: Russo, María Julieta. Fleni. Centro de Rehabilitación Adultos CR; Argentina.
dc.relation.ispartofVOLUME 28
dc.relation.ispartofNUMBER 11
dc.relation.ispartofCOUNTRY Estados Unidos
dc.relation.ispartofCITY Nueva York
dc.relation.ispartofTITLE Journal of stroke and cerebrovascular diseases
dc.relation.ispartofISSN 1532-8511
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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