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Παρασκευή 1 Σεπτεμβρίου 2017

What is the longitudinal profile of impairments and can we predict difficulty caring for the profoundly-affected arm in the first year post-stroke?

Publication date: Available online 1 September 2017
Source:Archives of Physical Medicine and Rehabilitation
Author(s): Rhoda Allison, Cherry Kilbride, Jade Chynoweth, Siobhan Creanor, Ian Frampton, Jonathon Marsden
ObjectiveTo establish the longitudinal profile of impairments of body functions and activity limitations of the arm, and evaluate potential predictors of difficulty caring for the profoundly-affected arm post-stroke.DesignProspective cohort study.SettingThree UK stroke services.ParticipantsPeople unlikely to regain functional use of the arm (N=155) were recruited at 2-4 weeks post-stroke, and followed up at 3, 6 and 12 months. Potential predictors at baseline were hypertonicity, pain, motor control, mood, sensation/perception, age and stroke severity.InterventionsNAMain Outcome MeasuresDifficulty caring for the arm (LASIS), pain, hypertonicity, range of movement, arm function and skin integrity. Multi-variable linear regression identified the best fitting model for predicting LASIS at 12 months.ResultsOne hundred and ten participants (71%) were reviewed at one year. There was a large variation in the profile of arm functions and activity limitations. Inability or severe difficulty caring for the arm affected 29% of participants. Hypertonicity developed in 77%, with severe hypertonicity present in 25%. Pain was reported by 65%, 94% developed shoulder contracture and 6% had macerated skin. Difficulty caring for the arm increased with age, greater level of hypertonicity and stroke classification; collectively these factors accounted for 33% of the variance in LASIS.ConclusionsAt one year post-stroke, there was a high incidence of impairments of body functions and activity limitations in people with a profoundly-affected arm. Individual profiles were very variable and although some pre-disposing factors have been identified, it remains difficult to predict who is at greatest risk.



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