Deans' stroke musings: Topographical data analysis to identify high-density clusters in stroke patients undergoing post-acute rehabilitation

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, December 18, 2021

Topographical data analysis to identify high-density clusters in stroke patients undergoing post-acute rehabilitation

WOW! Big words galore. I can see nothing here that helps survivors recover.

Topographical data analysis to identify high-density clusters in stroke patients undergoing post-acute rehabilitation

Topics in Stroke Rehabilitation , Volume 28(7) , Pgs. 498-507.

NARIC Accession Number: J87577. What's this?
ISSN: 1074-9357.
Author(s): Bose, Eliezer ; Wood, Lisa J. ; Wang, Qing M..
Publication Year: 2021.
Number of Pages: 10.
Abstract:

Study identified data-driven subgroups of stroke patients undergoing acute rehabilitation using topological data analysis (TDA), compared TDA with K-means clustering, and assessed inter-group demographic and clinical differences among the subgroups. A secondary data analysis was performed of clinical, functional outcome, and demographic data collected from 339 stroke patients undergoing acute post-stroke rehabilitation. Stroke recovery sub-groups were identified using TDA on the point cloud, persistent homology, and finally, density clustering. Inter-group differences in demographic and clinical characteristics were assessed using one-way analysis of variance, Kruskal-Wallis, or chi-squared tests. TDA revealed three high-density clusters among 137 subjects in the point cloud: 34 poor recoverers, 88 intermediate-recoverers, and 15 good-recoverers. Significant differences across clusters were observed for amantadine use, number of stroke risk factors, creatinine, length of stay, discharge destination, Functional Independence Measure (FIM) motor, FIM cognition, FIM total on admission and discharge, and motor, cognition, and total MRFS scores. This study revealed that in addition to functional status on admission, stroke risk factors are associated with recovery outcomes. Future studies using TDA to analyze clinical, biological, and sociodemographic factors will accelerate the development of personalized treatment plans in post-acute stroke rehabilitation patients.
Descriptor Terms: BIOCHEMISTRY, CLIENT CHARACTERISTICS, DEMOGRAPHICS, HEALTH PROMOTION, OUTCOMES, REHABILITATION, STROKE.

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

Citation: Bose, Eliezer , Wood, Lisa J. , Wang, Qing M.. (2021). Topographical data analysis to identify high-density clusters in stroke patients undergoing post-acute rehabilitation. Topics in Stroke Rehabilitation , 28(7), Pgs. 498-507. Retrieved 12/18/2021, from REHABDATA database.