ABSTRACT:Background: We reviewed numerous variables for ischemic stroke patients admitted to a rehabilitation unit to determine those that were statistically associated with discharge destination. Methods: A retrospective chart review of patients with ischemic stroke discharged from the rehabilitation unit between January 1, 2005 and December 31, 2015. Variables were examined for their association with discharge destination (home versus long-term care (LTC)). Univariable relationships with discharge destination were assessed, and a multivariable logistic regression model was built. Results: Univariate predictors of discharge to LTC: advanced age, decreasing admission and discharge functional independence measure (FIM) scores, increasing change in FIM score from admission to discharge, dependency, residence outside of home before the stroke, absence of a caregiver, urinary and bowel incontinence, low Berg balance score at admission and discharge, low Montreal Cognitive Assessment scores, smoking, chronic heart failure, and an inability to transfer. Multivariable logistic regression: five factors remained significant predictors with LTC disposition: advanced age, bowel incontinence, residence outside of the home prior to stroke, right hemisphere site of the stroke, and absence of a caregiver. Conclusions: Several easily measured variables were significantly associated with discharge to LTC versus home following stroke rehabilitation.
Suppl. 2 -S28 mobile devices with similar accuracy. Algorithms were potentially portable to wearable devices. Qualitative observations on the state and applicability of technology were made. Conclusions: Software analysing heart rhythm may be accurate for AF screening, but has not been tested on wearable devices. Such technology is promising but may be limited by hardware accuracy and high false positive rates.
P.059Predictors of gastrostomy tube placement in patients with dysphagia after acute stroke Kapral (Toronto)
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