Background: The Unified Parkinson’s Disease Rating Scale is the most commonly used scale in the clinical study of Parkinson’s disease. However, it may fail to capture the essence of physical impairment in patients w...Background: The Unified Parkinson’s Disease Rating Scale is the most commonly used scale in the clinical study of Parkinson’s disease. However, it may fail to capture the essence of physical impairment in patients with Parkinson’s disease and thus limit responsiveness of care-givers, patients, and/or clinicians as to increasing physical disability. This study sought to compare subjective measures of physical disability in Parkinson’s disease to an objective, accurate, and proven measure of physical function-gait speed. Methods: Eighty-eight individuals with early to moderate stage Parkinson’s disease were evaluated on the Unified Parkinson’s Disease Rating Scale, the Parkinson’s disease Questionnaire 39 and during five 8 meter walking trials. Spearman correlations coefficients were used to determine the association among all variables of interest. Results: The findings demonstrate that only a fair to moderate relationship between objectively measured gait speed and physical function as measured subjectively by the clinical rating scale and as evaluated by the patients during self report. Conclusions: The results of this study suggest that commonly utilized measures of physical function in Parkinson’s disease are not highly correlated with gait speed. Because gait speed is demonstrated as a dependable proxy for physical function, the results of this study may provide a rational for the use of gait speed to provide a more accurate picture of physical function in patients with Parkinson’s disease.展开更多
步行作为人类的基本活动之一,对其进行分析在临床研究中有重要意义。通过对公开帕金森症足底压力数据集Gait in Parkinson’s Disease进行分析,设计划分步态周期的方法,并提取步态特征参数。应用一种混合神经网络(GRU-DNN),将门控循环单...步行作为人类的基本活动之一,对其进行分析在临床研究中有重要意义。通过对公开帕金森症足底压力数据集Gait in Parkinson’s Disease进行分析,设计划分步态周期的方法,并提取步态特征参数。应用一种混合神经网络(GRU-DNN),将门控循环单元(GRU)与深度神经网络(DNN)相结合对帕金森症病情诊断进行分类。数据分析为临床诊断提供更多客观依据,从而辅助医生进行病情诊断。为验证方法的有效性,使用该网络对数据集中具有病情标签的步态信息进行分类预测,结果显示:在帕金森症诊断实验中,该网络的识别准确率为98.7%;在帕金森症严重程度诊断实验中,该网络对于严重程度为2级的识别准确率达到100%;对于其余严重程度的识别准确率达到98%。展开更多
文摘Background: The Unified Parkinson’s Disease Rating Scale is the most commonly used scale in the clinical study of Parkinson’s disease. However, it may fail to capture the essence of physical impairment in patients with Parkinson’s disease and thus limit responsiveness of care-givers, patients, and/or clinicians as to increasing physical disability. This study sought to compare subjective measures of physical disability in Parkinson’s disease to an objective, accurate, and proven measure of physical function-gait speed. Methods: Eighty-eight individuals with early to moderate stage Parkinson’s disease were evaluated on the Unified Parkinson’s Disease Rating Scale, the Parkinson’s disease Questionnaire 39 and during five 8 meter walking trials. Spearman correlations coefficients were used to determine the association among all variables of interest. Results: The findings demonstrate that only a fair to moderate relationship between objectively measured gait speed and physical function as measured subjectively by the clinical rating scale and as evaluated by the patients during self report. Conclusions: The results of this study suggest that commonly utilized measures of physical function in Parkinson’s disease are not highly correlated with gait speed. Because gait speed is demonstrated as a dependable proxy for physical function, the results of this study may provide a rational for the use of gait speed to provide a more accurate picture of physical function in patients with Parkinson’s disease.
文摘目的 观察伴或不伴冻结步态的早中期帕金森病患者运动功能和生活质量的差异,分析冻结步态与患者运动功能和生活质量的相关性。方法 2021年4月至2022年12月,在北京协和医学院门诊选取60~80岁早中期帕金森病患者132例,根据是否并发冻结步态分为冻结步态组(n=43)和非冻结步态组(n=89)。采用冻结步态问卷(FOGQ)、Berg平衡量表(BBS)、计时起立-行走测试(TUGT)、5次起坐试验(FTSST)、等速肌力测试、统一帕金森病评分量表(UPDRS)和39项帕金森病生活质量问卷(PDQ-39)进行评定。结果 冻结步态组BBS评分小于非冻结步态组(Z=-2.354, P <0.05),TUGT、FTSST、UPDRS第二和第三部分评分以及帕金森病生活质量指数(PDSI)明显大于非冻结步态组(Z> 3.074, t=2.748, P <0.01)。FOGQ评分与BBS、UPDRS第二和第三部分评分,以及PDSI显著相关(|r|> 0.392, P <0.001)。结论 冻结步态的发生影响早中期帕金森病患者的运动功能、日常生活活动能力和生活质量,增加跌倒风险。
文摘步行作为人类的基本活动之一,对其进行分析在临床研究中有重要意义。通过对公开帕金森症足底压力数据集Gait in Parkinson’s Disease进行分析,设计划分步态周期的方法,并提取步态特征参数。应用一种混合神经网络(GRU-DNN),将门控循环单元(GRU)与深度神经网络(DNN)相结合对帕金森症病情诊断进行分类。数据分析为临床诊断提供更多客观依据,从而辅助医生进行病情诊断。为验证方法的有效性,使用该网络对数据集中具有病情标签的步态信息进行分类预测,结果显示:在帕金森症诊断实验中,该网络的识别准确率为98.7%;在帕金森症严重程度诊断实验中,该网络对于严重程度为2级的识别准确率达到100%;对于其余严重程度的识别准确率达到98%。
