TY - JOUR
T1 - Relationship between gait profile score and clinical assessments of gait in post-stroke patients
AU - Bigoni, Matteo
AU - Cimolin, Veronica
AU - Vismara, Luca
AU - Tarantino, Andrea G.
AU - Clerici, Daniela
AU - Baudo, Silvia
AU - Galli, Manuela
AU - Mauro, Alessandro
N1 - Funding Information:
This study was supported by Ministero dell’Istruzione, dell’Università e della Ricerca—MIUR project “Dipartimenti di Eccellenza 2018–2022” to Department of Neuroscience “Rita
Funding Information:
This study was supported by Ministero dell'Istruzione, dell'Universit? e della Ricerca - MIUR project "Dipartimenti di Eccellenza 2018-2022" to Department of Neuroscience "Rita Levi Montalcini" and the "health and wellness technology platform" Re-Home Project (Code: 320-42; POR FERS 2014/2020). LV would like to thank the PhD Programme in Experimental Medicine and Therapy of the University of Turin.
Publisher Copyright:
© 2021 Foundation for Rehabilitation Information. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Background: Gait Profile Score (GPS) was validated as quality measure for the Gait Analysis (GA) in several patholgies, but GPS was never compared with clinical scales in post-stroke patients. Objective: The aim of the study was to quantify functional limitation of post-stroke hemiparetic patients using clinical-functional scales and GPS and to assess the presence of correlation between GPS and the clinical-based outcome scales. Methods: Thirty-three patients were assessed with the Berg Balance Scale (BBS), Trunk Impairment Scale (TIS), Functional Ambulation Category (FAC), Functional Independence Measure (FIM) and Ten- Meter Walk Test (10-MWT); GPS was obtained by GA. Results: GPS showed a fair relationship with FAC (p = 0.017; r = -0.412), TIS (p = 0.011, r = -0.436) and 10-MWT (p = 0.009, r = 0.49) and good correlation with BBS (p = 0.001; r = -0.561). The three regression models were statistically significant: Model 1 showed that FAC, GPS and FIM had a statistically significant effect in the determination of the BBS, in model 2 and 3, FIM presented a statistically significant effect on TIS determination. Conclusion: GPS seems to be an independent linear predictor of balance performance in stroke patient, and GVSs on sagittal plane might help clinicians to investigate the acquired compensatory strategies.
AB - Background: Gait Profile Score (GPS) was validated as quality measure for the Gait Analysis (GA) in several patholgies, but GPS was never compared with clinical scales in post-stroke patients. Objective: The aim of the study was to quantify functional limitation of post-stroke hemiparetic patients using clinical-functional scales and GPS and to assess the presence of correlation between GPS and the clinical-based outcome scales. Methods: Thirty-three patients were assessed with the Berg Balance Scale (BBS), Trunk Impairment Scale (TIS), Functional Ambulation Category (FAC), Functional Independence Measure (FIM) and Ten- Meter Walk Test (10-MWT); GPS was obtained by GA. Results: GPS showed a fair relationship with FAC (p = 0.017; r = -0.412), TIS (p = 0.011, r = -0.436) and 10-MWT (p = 0.009, r = 0.49) and good correlation with BBS (p = 0.001; r = -0.561). The three regression models were statistically significant: Model 1 showed that FAC, GPS and FIM had a statistically significant effect in the determination of the BBS, in model 2 and 3, FIM presented a statistically significant effect on TIS determination. Conclusion: GPS seems to be an independent linear predictor of balance performance in stroke patient, and GVSs on sagittal plane might help clinicians to investigate the acquired compensatory strategies.
KW - Clinical scale
KW - Gait Profile Score
KW - Gait Variable Score
KW - Neurorehabilitation
KW - Stroke
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U2 - 10.2340/16501977-2809
DO - 10.2340/16501977-2809
M3 - Article
C2 - 33710352
AN - SCOPUS:85107082911
VL - 53
JO - Journal of Rehabilitation Medicine
JF - Journal of Rehabilitation Medicine
SN - 1650-1977
IS - 5
M1 - jrm00192
ER -