The effects of a stroke unit on activities of daily living

Background: Dependency in personal activities of daily living (ADL) is a common short-term and long-term consequence of stroke and requires targeted rehabilitation. As the duration of hospital stay has become shorter in recent decades, early identification of patients who require rehabilitation has become vital. To our knowledge, no study has investigated whether ADL dependency in the very early stages after admission to the stroke unit can explain ADL dependency 3 and 12 months later. This knowledge would facilitate planning for very early discharge and patient-centered rehabilitation.Objective: This study evaluated whether ADL dependency within 2 days after stroke could explain ADL dependency at 3 and 12 months after stroke.Methods: This longitudinal cohort study included patients with stroke who were treated at a stroke unit in the Sahlgrenska University Hospital (Gothenburg, Sweden) between May 2011 and March 2016. The primary independent variable was ADL dependency at 36–48 h after admission to the stroke unit, which was assessed using a Barthel Index (BI) score of ≤90. The dependent variables were self-reported personal ADL dependency at 3 and 12 months after stroke. Binary logistic regression analyses were performed.Results: Of 366 eligible patients (58% male; median age 71 years), a majority (76%) had mild stroke and 60% were ADL dependent 36–48 h after stroke. Univariable and multivariable logistic regression analyses showed that patients who were dependent within the first 2 days after stroke had higher odds for being dependent 3 months as well as 12 months after stroke.Conclusion: The results indicated that dependency in personal ADL during the first 2 days can explain dependency at 3- and 12-month post-stroke. Therefore, early ADL assessments post-stroke can be used for understanding rehabilitation needs after stroke.

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Predictors of long-term recovery in complex activities of daily living before discharge from the stroke unit

Neurorehabilitation ◽

10.3233/nre-130948 ◽

2013 ◽

Vol 33 (2) ◽

pp. 217-223 ◽

Cited By ~ 5

Author(s):

David Cioncoloni ◽

Giuseppe Martini ◽

Pietro Piu ◽

Sabrina Taddei ◽

Maurizio Acampa ◽

...

Keyword(s):

Activities Of Daily Living ◽

Daily Living ◽

Stroke Unit ◽

Complex Activities

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Integrated multidisciplinary assessment of cerebral stroke outcome after treatment in a comprehensive stroke unit

Endovascular Neuroradiology ◽

10.26683/2304-9359-2019-2(28)-50-58 ◽

2019 ◽

Vol 28 (2) ◽

pp. 50-58

Author(s):

Yu.V. FLomin ◽

V.G. Gurianov ◽

L.I. Sokolova

Keyword(s):

Activities Of Daily Living ◽

Daily Living ◽

Stroke Unit ◽

Rating Scales ◽

Berg Balance Scale ◽

Patient Treatment ◽

Cerebral Stroke ◽

Stroke Outcome ◽

Stroke Center ◽

Integral Assessment

Objective – to explore the possibility of integral assessment of the stroke outcome and to develop a method of integral assessment of the stroke outcome after in-patient treatment on the level of impairment and and the level of activities of daily living, which were assessed using rating scales and indices.Materials and methods. The study was conducted at the Stroke Center (SC), Oberig’ multidisciplinary hospital division, which operates according to the principles of Comprehensive Stroke Unit. Patients with a cerebral stroke who were admitted to the SC in 2010–2018 were enrolled. The data of the participants were prospectively entered into a special database and included discharge assessments using 8 valid rating scales and indices. Cluster analysis methods (in particular Kohonen neural networks) were used to design the integral assessment. Statistical analysis of the values of the rating scales and indices in the selected clusters was performed using the Kruskal–Wallis criterion, post hoc comparisons were made using the Dunn multiple comparison criterion.Results. 852 patients (42.5 % women and 57.5 % men, median age – 66.7 year) were enrolled. 81 % of patients were diagnosed with ischemic stroke, and 19 % had hemorrhagic stroke. According to the chosen method, it is necessary and sufficient to split the data into 4 clusters. All participants in the study according to their assessments at discharge using the set of selected measures could be assigned to one of 4 isolated clusters: K1 (n = 366), K2 (n = 93), K3 (n = 104) or K4 (n = 289). National Institutes of Health Stroke Scale, modified Rankin scale, Barthel Index, Berg Balance Scale та Functional Ambulation Classification were the most significant determinants of the patient cluster. For the 5 measures there have been significant differences (p < 0.001) in the four clusters. The condition of the patients in K4 cluster was the best (p < 0.05), whereas the patients in the K1 cluster were worse (p < 0.05), and the condition of the patients in the clusters K2 and K3 was much worse (p < 0.05) compared with the cluster K4.Conclusions. Based on the integrated assessments of neurological impairments and activities of daily living all of stroke patients could be assigned to one of four identified clusters. Detecting predictors of poor outcome after in-patient management may help to find ways to improve their prognosis.

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