Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals

Purpose: To collectively identify the clinical characteristics determining the risk of developing spasticity after stroke. Patients and Methods: A cross-sectional study was conducted at a single rehabilitation outpatient clinic from June to December 2019. Inclusion criteria were stroke duration of o...

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Published in:Journal of Multidisciplinary Healthcare
Main Author: Ahmedy F.; Tuah N.M.; Hashim N.M.; Shah S.S.; Ahmedy I.; Tan S.F.
Format: Article
Language:English
Published: Dove Medical Press Ltd 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114387188&doi=10.2147%2fJMDH.S320543&partnerID=40&md5=a9dec57da440d1d51f1d6e1f8779bdf9
id 2-s2.0-85114387188
spelling 2-s2.0-85114387188
Ahmedy F.; Tuah N.M.; Hashim N.M.; Shah S.S.; Ahmedy I.; Tan S.F.
Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
2021
Journal of Multidisciplinary Healthcare
14

10.2147/JMDH.S320543
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114387188&doi=10.2147%2fJMDH.S320543&partnerID=40&md5=a9dec57da440d1d51f1d6e1f8779bdf9
Purpose: To collectively identify the clinical characteristics determining the risk of developing spasticity after stroke. Patients and Methods: A cross-sectional study was conducted at a single rehabilitation outpatient clinic from June to December 2019. Inclusion criteria were stroke duration of over four weeks, aged 18 years and above. Exclusion criteria were presence of concurrent conditions other than stroke that could also lead to spasticity. Recruited patients were divided into “Spasticity” and “No spasticity” groups. Univariate analysis was deployed to identify significant predictive spasticity factors between the two groups followed by a two-step clustering approach for determining group of characteristics that collectively contributes to the risk of developing spasticity in the “Spasticity” group. Results: A total of 216 post-stroke participants were recruited. The duration after stroke (p < 0.001) and the absence of hemisensory loss (p = 0.042) were two significant factors in the “Spasticity” group revealed by the univariate analysis. From a total of 98 participants with spasticity, the largest cluster of individuals (40 patients, 40.8%) was those within less than 20 months after stroke with moderate stroke and absence of hemisensory loss, while the smallest cluster was those within less than 20 months after severe stroke and absence of hemisensory loss (21 patients, 21.4%). Conclusion: Analyzing collectively the significant factors of developing spasticity may have the potential to be more clinically relevant in a heterogeneous post-stroke population that may assist in the spasticity management and treatment. © 2021 Ahmedy et al.
Dove Medical Press Ltd
11782390
English
Article
All Open Access; Gold Open Access; Green Open Access
author Ahmedy F.; Tuah N.M.; Hashim N.M.; Shah S.S.; Ahmedy I.; Tan S.F.
spellingShingle Ahmedy F.; Tuah N.M.; Hashim N.M.; Shah S.S.; Ahmedy I.; Tan S.F.
Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
author_facet Ahmedy F.; Tuah N.M.; Hashim N.M.; Shah S.S.; Ahmedy I.; Tan S.F.
author_sort Ahmedy F.; Tuah N.M.; Hashim N.M.; Shah S.S.; Ahmedy I.; Tan S.F.
title Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
title_short Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
title_full Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
title_fullStr Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
title_full_unstemmed Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
title_sort Revisiting spasticity after stroke: Clustering clinical characteristics for identifying at-risk individuals
publishDate 2021
container_title Journal of Multidisciplinary Healthcare
container_volume 14
container_issue
doi_str_mv 10.2147/JMDH.S320543
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114387188&doi=10.2147%2fJMDH.S320543&partnerID=40&md5=a9dec57da440d1d51f1d6e1f8779bdf9
description Purpose: To collectively identify the clinical characteristics determining the risk of developing spasticity after stroke. Patients and Methods: A cross-sectional study was conducted at a single rehabilitation outpatient clinic from June to December 2019. Inclusion criteria were stroke duration of over four weeks, aged 18 years and above. Exclusion criteria were presence of concurrent conditions other than stroke that could also lead to spasticity. Recruited patients were divided into “Spasticity” and “No spasticity” groups. Univariate analysis was deployed to identify significant predictive spasticity factors between the two groups followed by a two-step clustering approach for determining group of characteristics that collectively contributes to the risk of developing spasticity in the “Spasticity” group. Results: A total of 216 post-stroke participants were recruited. The duration after stroke (p < 0.001) and the absence of hemisensory loss (p = 0.042) were two significant factors in the “Spasticity” group revealed by the univariate analysis. From a total of 98 participants with spasticity, the largest cluster of individuals (40 patients, 40.8%) was those within less than 20 months after stroke with moderate stroke and absence of hemisensory loss, while the smallest cluster was those within less than 20 months after severe stroke and absence of hemisensory loss (21 patients, 21.4%). Conclusion: Analyzing collectively the significant factors of developing spasticity may have the potential to be more clinically relevant in a heterogeneous post-stroke population that may assist in the spasticity management and treatment. © 2021 Ahmedy et al.
publisher Dove Medical Press Ltd
issn 11782390
language English
format Article
accesstype All Open Access; Gold Open Access; Green Open Access
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