Are you that fucking stupid that you think that prediction is of any use to survivors? They want to know EXACTLY how you are going to get them recovered. My god, get out of stroke and into something easier, writing a blog.
Gait rehabilitation after stroke: review of the evidence of predictors, clinical outcomes and timing for interventions
Acta Neurologica Belgica
(2020)
Abstract
The
recovery of walking capacity is one of the main aims in stroke
rehabilitation. Being able to predict if and when a patient is going to
walk after stroke is of major interest in terms of management of the
patients and their family’s expectations and in terms of discharge
destination and timing previsions. This article reviews the recent
literature regarding the predictive factors for gait recovery and the
best recommendations in terms of gait rehabilitation in stroke patients.
Trunk control and lower limb motor control (e.g. hip extensor muscle
force) seem to be the best predictors of gait recovery as shown by the
TWIST algorithm, which is a simple tool that can be applied in clinical
practice at 1 week post-stroke. In terms of walking performance, the
6-min walking test is the best predictor of community ambulation.
Various techniques are available for gait rehabilitation, including
treadmill training with or without body weight support, robotic-assisted
therapy, virtual reality, circuit class training and
self-rehabilitation programmes. These techniques should be applied at
specific timing during post-stroke rehabilitation, according to
patient’s functional status.
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