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

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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.


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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.