Automated Assessment of Bradykinesia and Dyskinesia in Parkinson's Disease
Automated Assessment of Bradykinesia and Dyskinesia in Parkinson's Disease
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DOI：
10.3233/jpd-2012-11071
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发表时间：
2012-01-01
影响因子：
5.2
通讯作者：
Horne, Malcolm K.
中科院分区：
文献类型：
--
作者：
Griffiths, Robert I.;Kotschet, Katya;Horne, Malcolm K.
需要对帕金森病（PD）的运动障碍和运动迟缓进行客观测量，其全天连续进行并且与左旋多巴给药相关。在10天内每两分钟计算运动障碍和运动迟缓评分的算法（PKG：Global Kinetics Corporation）的输出与PD受试者中PD的常规评定量表进行比较。该算法将运动迟缓识别为以较低的加速度和幅度以及运动之间的较长间隔进行的运动。类似地，该算法将运动障碍识别为具有正常幅度和加速度的运动，但具有较短的不运动时间。PD患者运动迟缓和运动障碍评分的分布与正常人不同。该算法预测临床运动障碍评定量表AIMS的95%误差范围为3.2个单位，而3名神经科医师的评定者间95%一致性限值为-3.4至+4.3个单位。同样，该算法预测的ECORS III评分的误差幅度与评价者间一致性限值相似。可以在个体患者中统计学评估对药物变化的评分改善。该算法提供了对PD中运动迟缓和运动障碍的临床特征的客观、连续和自动化评估。
There is a need for objective measures of dyskinesia and bradykinesia of Parkinson's disease (PD) that are continuous throughout the day and related to levodopa dosing. The output of an algorithm that calculates dyskinesia and bradykinesia scores every two minutes over 10 days (PKG: Global Kinetics Corporation) was compared with conventional rating scales for PD in PD subjects. The algorithm recognises bradykinesia as movements made with lower acceleration and amplitude and with longer intervals between movement. Similarly the algorithm recognises dyskinesia as having movements of normal amplitude and acceleration but with shorter periods without movement. The distribution of the bradykinesia and dyskinesia scores from PD subjects differed from that of normal subjects. The algorithm predicted the clinical dyskinesia rating scale AIMS with a 95% margin of error of 3.2 units compared with the inter-rater 95% limits of agreement from 3 neurologists of -3.4 to +4.3 units. Similarly the algorithm predicted the UPDRS III score with a margin of error similar to the inter-rater limits of agreement. Improvement in scores in response to changes in medication could be assessed statistically in individual patients. This algorithm provides objective, continuous and automated assessment of the clinical features of bradykinesia and dyskinesia in PD.