Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Tuesday, September 27, 2022

The TWIST tool predicts when patients will recover independent walking after stroke: An observational study

We don't need predictions of independent walking, we need PROTOCOLS THAT DELIVER INDEPENDENT WALKING. Do the research that GETS THERE! This was useless.

 The TWIST tool predicts when patients will recover independent walking after stroke: An observational study

Neurorehabilitation and Neural Repair (NNR) , Volume 36(7) , Pgs. 461-471.

NARIC Accession Number: J89582.  What's this?
ISSN: 1545-9683.
Author(s): Smith, Marie-Claire; Barber, Alan P.; Scrivener, Benjamin J.; Stinear, Cathy M..
Publication Year: 2022.
Number of Pages: 11.
Abstract: Study developed and internally validated the TWIST tool to predict whether and when a patient will walk independently in the first 6 months post-stroke. Ninety-three adults with stroke, who had new lower-limb weakness and were unable to walk independently, completed clinical assessments one week post stroke. The primary outcome was time post-stroke by which independent walking (Functional Ambulation Category score ≥ 4) was achieved. Cox hazard regression identified predictors for achieving independent walking by 4, 6, 9, 16, or 26 weeks after stroke. The cut-off and weighting for each predictor was determined using beta-coefficients. Predictors were assigned a score and summed for a final TWIST score. The probability of achieving independent walking at each time point for each TWIST score was calculated. Age <80 years, knee extension strength Medical Research Council grade ≥3/5, and Berg Balance Test <6, 6 to 15, or ≥16/56, predicted independent walking and were combined to form the TWIST prediction tool. The TWIST prediction tool was at least 83 percent accurate for all time points. The TWIST tool combines routine bedside tests at one-week post-stroke to accurately predict the probability of an individual patient achieving independent walking by 4, 6, 9, 16, or 26 weeks after stroke. If externally validated, the TWIST prediction tool may benefit patients and clinicians by informing rehabilitation decisions and discharge planning.
Descriptor Terms: AMBULATION, MEASUREMENTS, MOBILITY IMPAIRMENTS, OUTCOMES, PREDICTION, STROKE.


Can this document be ordered through NARIC's document delivery service*?: Y.

Citation: Smith, Marie-Claire, Barber, Alan P., Scrivener, Benjamin J., Stinear, Cathy M.. (2022). The TWIST tool predicts when patients will recover independent walking after stroke: An observational study.  Neurorehabilitation and Neural Repair (NNR) , 36(7), Pgs. 461-471. Retrieved 9/27/2022, from REHABDATA database.

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