Division of Neurology and Neurorehabilitation, IRCCS Intitute Auxologico Italiano, Verbania, Italy.
J Rehabil Med. 2021 May 18;53(5):jrm00192. doi: 10.2340/16501977-2809.
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.
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.
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.
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.
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.
步态分析评分（GPS）已在多种病理情况下得到验证，可作为步态分析（GA）的质量指标，但 GPS 从未在脑卒中患者中与临床量表进行过比较。
本研究旨在使用临床功能量表和 GPS 量化脑卒中偏瘫患者的功能受限，并评估 GPS 与基于临床的结局量表之间的相关性。
对 33 名患者进行 Berg 平衡量表（BBS）、躯干损伤量表（TIS）、功能性步行分类（FAC）、功能独立性测量（FIM）和 10 米步行测试（10-MWT）评估；通过 GA 获得 GPS。
GPS 与 FAC（p=0.017；r=-0.412）、TIS（p=0.011，r=-0.436）和 10-MWT（p=0.009，r=0.49）呈中度相关，与 BBS 呈高度相关（p=0.001；r=-0.561）。三个回归模型均具有统计学意义：模型 1 显示 FAC、GPS 和 FIM 对 BBS 的确定有统计学意义，在模型 2 和 3 中，FIM 对 TIS 的确定有统计学意义。
GPS 似乎是脑卒中患者平衡表现的独立线性预测因子，矢状面步态速度可能有助于临床医生研究获得的代偿策略。
