PURPOSE: To determine the prognostic value of single items of the Barthel Index (BI) at discharge from rehabilitation, in predicting independence in personal activities of daily living (ADL) (BI score ≥ 95/100) at five years after stroke. METHOD: People with stroke were recruited consecutively from four European rehabilitation centres. BI was assessed on discharge and at five years after stroke. Stepwise multivariate logistic regression analysis was used to determine independent predictors of BI score ≥ 95/100 at five years after stroke. Thereupon, percentage chance of reaching BI ≥ 95/100 at five years after stroke was calculated. RESULTS: Data were available for 153 patients. Independence in dressing (odds ratio (OR)=5.22, 95% confidence interval (CI)=1.85-14.76, p=0.002) and bathing (OR=8.10, 95% CI=3.40-19.32, p<0.0001) were independent predictors. Independence in both items resulted in 74.1% (57.6-85.8) chance of reaching BI ≥ 95/100 at five years after stroke. Dependence in both items resulted in 6.3% (5.1-7.9) chance. Independence in bathing, but dependence in dressing resulted in 35.4% (30.7-40.4) chance whereas the opposite resulted in 26.1% (20.7-32.3) chance. CONCLUSION: Simple assessment of dressing and bathing on discharge from rehabilitation enables therapeutic staff to predict prognosis for long-term independence in personal ADL. This method can be used for early identification of persons with stroke who need intensive follow-up. Implications for Rehabilitation (In)dependence for dressing and bathing at discharge from a rehabilitation centre are significant factors in the prediction of (in)dependence in personal ADL at five years after stroke. This predictive tool can be used for targeting inpatient stroke rehabilitation and early identification of those patients who need intensive follow-up.
PURPOSE: To determine the prognostic value of single items of the Barthel Index (BI) at discharge from rehabilitation, in predicting independence in personal activities of daily living (ADL) (BI score ≥ 95/100) at five years after stroke. METHOD:People with stroke were recruited consecutively from four European rehabilitation centres. BI was assessed on discharge and at five years after stroke. Stepwise multivariate logistic regression analysis was used to determine independent predictors of BI score ≥ 95/100 at five years after stroke. Thereupon, percentage chance of reaching BI ≥ 95/100 at five years after stroke was calculated. RESULTS: Data were available for 153 patients. Independence in dressing (odds ratio (OR)=5.22, 95% confidence interval (CI)=1.85-14.76, p=0.002) and bathing (OR=8.10, 95% CI=3.40-19.32, p<0.0001) were independent predictors. Independence in both items resulted in 74.1% (57.6-85.8) chance of reaching BI ≥ 95/100 at five years after stroke. Dependence in both items resulted in 6.3% (5.1-7.9) chance. Independence in bathing, but dependence in dressing resulted in 35.4% (30.7-40.4) chance whereas the opposite resulted in 26.1% (20.7-32.3) chance. CONCLUSION: Simple assessment of dressing and bathing on discharge from rehabilitation enables therapeutic staff to predict prognosis for long-term independence in personal ADL. This method can be used for early identification of persons with stroke who need intensive follow-up. Implications for Rehabilitation (In)dependence for dressing and bathing at discharge from a rehabilitation centre are significant factors in the prediction of (in)dependence in personal ADL at five years after stroke. This predictive tool can be used for targeting inpatient stroke rehabilitation and early identification of those patients who need intensive follow-up.
Authors: Alessandro Morandi; Daniel Davis; Donna M Fick; Renato Turco; Malaz Boustani; Elena Lucchi; Fabio Guerini; Sara Morghen; Tiziana Torpilliesi; Simona Gentile; Alasdair M MacLullich; Marco Trabucchi; Giuseppe Bellelli Journal: J Am Med Dir Assoc Date: 2014-02-22 Impact factor: 4.669
Authors: Wai Kwong Tang; Yang Kun Chen; Hua Jun Liang; Winnie Chiu Wing Chu; Vincent Chung Tony Mok; Gabor S Ungvari; Ka Sing Wong Journal: BMC Neurol Date: 2014-12-12 Impact factor: 2.474