Physical Therapy Unit, Fleni, Ruta 9 Km 52.5, Colectora Este (B1625), Escobar, Buenos Aires, Argentina.
Department of Rehabilitation Medicine, Fleni, Escobar, Buenos Aires, Argentina.
J Stroke Cerebrovasc Dis. 2021 Apr;30(4):105627. doi: 10.1016/j.jstrokecerebrovasdis.2021.105627. Epub 2021 Jan 25.
Patients with severe motor alterations would be those on who the prediction of the expected motor response after inpatient rehabilitation programs is most required.
To analyze if the balance progress measured by the Berg Balance Scale and the time of hospitalization could be independent predictors of the Berg Balance at the end of a post stroke rehabilitation program in patients with severe balance alteration at the admission. Secondly, to compare a Berg Balance prediction model at the time of discharge based on the Berg Balance at the time of admission (model 1) to a Berg Balance prediction model at the time of discharge based on Berg Balance progress and the time of hospitalization (model 2).
Subjects suffering a first subacute supratentorial stroke admitted for inpatient rehabilitation between 2010 through 2018 were included to develop two linear regression models of predicted Berg Balance at discharge (n=149).
According to model 1 (p < 0.0001, R= 0.166), the Berg Balance at the admission would be a predictor of the Berg Balance at discharge from hospitalization. According to model 2 (p < 0.0001, R= 0.993) the Berg Balance progress (β= 1.026; p < 0.0001) and the hospitalization time (β=-0.006; p < 0.0001) would be independent predictors of the Berg Balance at discharge.
The motor response to the rehabilitation programs in subacute patients with severe motor alterations could be explained on the basis of balance condition at the admission, but this explanation may be improved considering the progress on the balance the patients achieve during inpatient rehabilitation irrespective the time of hospitalization.
严重运动障碍的患者是最需要预测住院康复计划后预期运动反应的患者。
分析伯格平衡量表测量的平衡进展和住院时间是否可以独立预测入院时严重平衡障碍的脑卒中患者在脑卒中康复计划结束时的伯格平衡。其次，比较基于入院时伯格平衡（模型 1）的出院时伯格平衡预测模型与基于伯格平衡进展和住院时间的出院时伯格平衡预测模型（模型 2）。
纳入 2010 年至 2018 年间因住院康复而接受初次亚急性幕上卒中的患者，以建立两个出院时伯格平衡预测的线性回归模型（n=149）。
根据模型 1（p<0.0001，R=0.166），入院时的伯格平衡是住院出院时伯格平衡的预测因素。根据模型 2（p<0.0001，R=0.993），伯格平衡进展（β=1.026;p<0.0001）和住院时间（β=-0.006;p<0.0001）是出院时伯格平衡的独立预测因素。
亚急性严重运动障碍患者对康复计划的运动反应可以根据入院时的平衡状况来解释，但考虑到患者在住院康复期间取得的平衡进展，即使不考虑住院时间，这种解释也可以得到改善。
