Deans' stroke musings: Prospectively classifying community walkers after stroke: Who are they?

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.

Saturday, January 25, 2020

Prospectively classifying community walkers after stroke: Who are they?

I can predict that you have absolutely nothing in stroke protocols to get survivors back to 100% walking. So complete failure on your part for having nothing.

Prospectively classifying community walkers after stroke: Who are they?

Archives of Physical Medicine and Rehabilitation , Volume 100(11) , Pgs. 2113-2118.

NARIC Accession Number: J82549. What's this?
ISSN: 0003-9993.
Author(s): Mulder, Marijn; Nijland, Rinske H.; van de Port, Ingrid G.; van Wegen, Erwin E.; Kwakkel, Gert.
Publication Year: 2019.
Number of Pages: 6.

Abstract:

Study classified patients with stroke into subgroups based on their characteristics at the moment of discharge from inpatient rehabilitation in order to predict community ambulation outcome 6 months later. Participants were 243 patients with stroke referred for outpatient physical therapy after completing inpatient rehabilitation in The Netherlands. A classification model was developed using Classification And Regression Tree (CART) analysis. The final outcome was determined using the community ambulation questionnaire. Potential baseline predictors included patient demographics, stroke characteristics, use of assistive devices, comfortable gait speed, balance, strength, motivation, falls efficacy, anxiety, and depression. The CART model accurately predicted independent community ambulation in 181 of 193 patients with stroke, based on a comfortable gait speed at discharge of 0.5 meters per second or faster. In contrast, 27 of 50 patients with gait speeds below 0.5 meters per second were correctly predicted to become noncommunity walkers. This study showed that comfortable gait speed is a key factor in the prognosis of community ambulation outcome. The CART model may support clinicians in organizing community services at the moment of discharge from inpatient care.
Descriptor Terms: AMBULATION, CLASSIFICATION SYSTEMS, CLIENT CHARACTERISTICS, DEMOGRAPHICS, OUTCOMES, REHABILITATION, STROKE.

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

Citation: Mulder, Marijn, Nijland, Rinske H., van de Port, Ingrid G., van Wegen, Erwin E., Kwakkel, Gert. (2019). Prospectively classifying community walkers after stroke: Who are they?. Archives of Physical Medicine and Rehabilitation , 100(11), Pgs. 2113-2118. Retrieved 1/25/2020, from REHABDATA database.