Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease.

Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease.
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DOI:
10.1016/j.jns.2014.07.026
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发表时间:
2014-10-15
影响因子:
4.4
通讯作者:
Dewey, Richard B., Jr.
Dewey, Richard B., Jr.
中科院分区:
医学3区
文献类型:
--
作者:
Dewey, D. Campbell;Miocinovic, Svjetlana;Bernstein, Ira;Khemani, Pravin;Dewey, Richard B., III;Querry, Ross;Chitnis, Shilpa;Dewey, Richard B., Jr.

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评估器械步态和平衡测量对PD诊断和疾病严重程度估计的适用性。每名受试者使用APDM®移动实验室进行iTUG(仪器化计时启动)和iSway(仪器化摇摆)。在PD队列中测量了MDS-ADRS第II和第III部分、姿势不稳定和步态障碍(PIGD)评分、PDQ-39的移动性子量表以及Hoehn & Yahr分期。通过与诊断或疾病严重程度的高度相关性定义两组步态和平衡变量,并使用多重线性和逻辑回归、ROC分析和t检验进行评估。在这项前瞻性队列研究中,对135例PD受试者和66例年龄匹配的对照者进行了评价。我们发现iTUG和iSway变量将PD受试者与对照区分开来(ROC曲线下面积分别为0.82和0.75),并与所有PD严重程度指标相关(R2范围为0.18至0.61)。基于客观考试的分数与iTUG的相关性比iSway更强。所选iTUG变量集在极轻度疾病中异常。年龄和性别影响步态和平衡参数,因此在所有分析中均进行了控制。我们的研究确定了与PD严重程度指标相关的iTUG和iSway变量集,并将PD受试者与对照组区分开来。这些步态和平衡指标可能作为PD进展的标志物,正在进行的NIH帕金森病生物标志物项目正在为此目的进行评估。
To assess the suitability of instrumented gait and balance measures for diagnosis and estimation of disease severity in PD. Each subject performed iTUG (instrumented Timed-Up-and-Go) and iSway (instrumented Sway) using the APDM® Mobility Lab. MDS-UPDRS parts II and III, a postural instability and gait disorder (PIGD) score, the mobility subscale of the PDQ-39, and Hoehn & Yahr stage were measured in the PD cohort. Two sets of gait and balance variables were defined by high correlation with diagnosis or disease severity and were evaluated using multiple linear and logistic regressions, ROC analyses, and t-tests. 135 PD subjects and 66 age-matched controls were evaluated in this prospective cohort study. We found that both iTUG and iSway variables differentiated PD subjects from controls (area under the ROC curve was 0.82 and 0.75 respectively) and correlated with all PD severity measures (R2 ranging from 0.18 to 0.61). Objective exam-based scores correlated more strongly with iTUG than iSway. The chosen set of iTUG variables was abnormal in very mild disease. Age and gender influenced gait and balance parameters and were therefore controlled in all analyses. Our study identified sets of iTUG and iSway variables which correlate with PD severity measures and differentiate PD subjects from controls. These gait and balance measures could potentially serve as markers of PD progression and are under evaluation for this purpose in the ongoing NIH Parkinson Disease Biomarker Program.
DOI: 10.1016/j.gaitpost.2012.04.010
发表时间: 2012-07
期刊: Gait & posture
影响因子: 2.4
作者:
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发表时间: 2009
期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子: --
作者:
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影响因子: 11
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发表时间: 2006-01-01
影响因子: 4.1
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发表时间: 2005-12-01
期刊: GAIT & POSTURE
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通讯作者: Feller, JA