Deans' stroke musings: Do clinical assessments, steady-state or daily-life gait characteristics predict falls in ambulatory chronic stroke survivors?

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, August 20, 2019

Do clinical assessments, steady-state or daily-life gait characteristics predict falls in ambulatory chronic stroke survivors?

There is not a survivor alive who cares about predictions. Just deliver protocols that will prevent falls.

Do clinical assessments, steady-state or daily-life gait characteristics predict falls in ambulatory chronic stroke survivors?

Journal of Rehabilitation Medicine (formerly the Scandinavian Journal of Rehabilitation Medicine) , Volume 49(5) , Pgs. 402-409.

NARIC Accession Number: J81435. What's this?
ISSN: 1650-1977.
Author(s): Punt, Michiel ; Bruijn, Sjoerd M. ; Wittink, Harriet ; van de Port, Ingrid G. ; van Dieën, Jaap H..
Publication Year: 2017.
Number of Pages: 8.
Abstract: Study investigated the extent to which gait characteristics and clinical physical therapy assessments predict falls in chronic stroke survivors. Steady-state gait characteristics were collected from 40 participants while walking on a treadmill with motion capture of spatiotemporal, variability, and stability measures. An accelerometer was used to collect daily-life gait characteristics during 7 days. Six physical and psychological assessments were administered. Fall events were determined using a “fall calendar” and monthly phone calls over a 6-month period. Participanmts who experienced no falls during the 6-month follow-up were classified as non-fall-prone stroke survivors; the participants who experienced at least one fall were classified as fall-prone stroke survivors. After data reduction through principal component analysis, the predictive capacity of each method was determined by logistic regression. Thirty-eight percent of the participants were classified as fallers. Laboratory-based and daily-life gait characteristics predicted falls acceptably well, with an area under the curve of, 0.73 and 0.72, respectively, while fall predictions from clinical assessments were limited. The results suggest that, Independent of the type of gait assessment, qualitative gait characteristics are better fall predictors than clinical assessments. Clinicians should therefore consider gait analyses as an alternative for identifying fall-prone stroke survivors.
Descriptor Terms: AMBULATION, EQUILIBRIUM, MEASUREMENTS, OUTCOMES, PHYSICAL EVALUATION, PHYSICAL THERAPY, POSTURE, PREDICTION, PSYCHOLOGICAL EVALUATION, STROKE.

Can this document be ordered through NARIC's document delivery service*?: Y.
Get this Document: https://www.medicaljournals.se/jrm/content/abstract/10.2340/16501977-2234.

Citation: Punt, Michiel , Bruijn, Sjoerd M. , Wittink, Harriet , van de Port, Ingrid G. , van Dieën, Jaap H.. (2017). Do clinical assessments, steady-state or daily-life gait characteristics predict falls in ambulatory chronic stroke survivors?. Journal of Rehabilitation Medicine (formerly the Scandinavian Journal of Rehabilitation Medicine) , 49(5), Pgs. 402-409. Retrieved 8/20/2019, from REHABDATA database.