An update on predicting motor recovery after stroke

Everything you're doing here is WRONG,WRONG WRONG! Damn it all, survivors want recovery, not these useless predictions of failure to recover! Does anybody in stroke actually think?

I doubt anything has changed for the better in 8 years. I'd have you all fired.

An update on predicting motor recovery after stroke

2014, Annals of physical and rehabilitation medicine

Nouveaute´ ssurlare´ cupe´ rationmotriceapre`sAVC C.M.Stinear a,b,*,1W.D.Byblow b,c,1,S.H.Ward c,

a Clinical Neuroscience Laboratory,Department of Medicine,University of Auckland,Private Bag,92019Auckland, New Zealand b Centre for Brain Research,University of Auckland,Private Bag,92019Auckland, New Zealand c Movement Neuroscience Laboratory, Department of Sport and Exercise Science,University of Auckland,Private Bag,92019Auckland, New Zealand Received 9 August 2014;accepted 9 August 2014

Abstract

Being able to predict an individual’s potential for recovery of motor function after stroke may facilitate the use of more effective targeted rehabilitation strategies, and management of patient expectations and goals.This review summarises developments since 2010 of approaches based on clinical, neurophysiological and neuroimaging measures for predicting individual patients’ potential for upper limb recovery. Clinical assessments alone have low prognostic accuracy. Transcranial magnetic stimulation can be used to assess the functional integrity of the corticomotor pathway, and has some predictive value but is not superior when used in isolation due to its low negative predictive value. Neuroimaging measures can be used to assess the structural integrity of descending white matter tracts. Recent studies indicate that the integrity of corticospinal and alternate motor tracts in both hemispheres may be useful predictors of motor recovery after stroke. The PREP algorithm is currently the only sequential algorithm that combines clinical, neurophysiological and neuroimaging measures at the subacute stage to predict the potential for subsequent recovery of upper limb function. Future research could determine if a similar algorithmic approach may be useful for predicting the recovery of gait after stroke.(Everything you're doing here is WRONG,WRONG WRONG! Damn it all, survivors want recovery, not these useless predictions of failure to recover! Does anybody in stroke actually think?)

#2014Elsevier MassonSAS.

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