Alzheimer Center Reina Sofia Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain.
Eur J Neurol. 2015 Jan;22(1):37-43. doi: 10.1111/ene.12165. Epub 2013 Apr 22.
Although Parkinson's disease (PD) is characterized by typical motor manifestations, non-motor symptoms (NMS) are an outstanding part of the disease. At present, several specific instruments for assessment of NMS are available. The objective of our study was to determine the performance of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Part I - Non-Motor Aspects of Experiences of Daily Living (nM-EDL) compared with the Non-Motor Symptoms Scale (NMSS).
To this purpose, 434 consecutive patients with PD were included in an international, observational, cross-sectional study. The association between scores of both scales was determined by the Spearman rank correlation coefficient. Equations for transformation of total score of a scale to the other were constructed from weighted regression models and both, transformed and observed score, contrasted by means of the Lin's Concordance Correlation Coefficient (LCCC) and Bland-Altman plot.
As a whole, the prevalence of the NMS according to each scale was quite similar, and most of the correlations between their corresponding components were high (r(S) > 0.60). The total score correlation of the MDS-UPDRS Part I with the NMSS was high (r(S) = 0.81). Concerning the transformed scores, estimated scores only partially approach the observed ones (sharing about 60-64% of the variance) because residual variance increased with increasing magnitudes of the scores, i.e. the most severe patients (Bland-Altman plot; LCCC < 0.60 for severe patients).
(i) MDS-UPDRS Part I (nM-EDL) and NMSS showed a strong convergent validity; (ii) however, transformed scores using the equations from weighted regression models showed that for patients with the most severe NMS they are not concordant.
虽然帕金森病（PD）以典型的运动表现为特征，但非运动症状（NMS）是疾病的突出部分。目前，有几种用于评估 NMS 的特定工具。我们研究的目的是确定运动障碍协会统一帕金森病评定量表（MDS-UPDRS）第 I 部分-非运动方面的日常生活经验（nM-EDL）与非运动症状量表（NMSS）的表现。
为此，我们纳入了一项国际、观察性、横断面研究中的 434 名连续 PD 患者。通过 Spearman 秩相关系数确定两个量表评分之间的关联。通过加权回归模型构建了从一个量表的总分转换到另一个量表的总分的方程，并通过 Lin 的一致性相关系数（LCCC）和 Bland-Altman 图对比转换后的和观察到的评分。
总的来说，根据每个量表，NMS 的患病率非常相似，并且它们对应的组成部分之间的大多数相关性都很高（r(S)＞0.60）。MDS-UPDRS 第 I 部分与 NMSS 的总分相关性很高（r(S)＝0.81）。对于转换后的评分，估计评分仅部分接近观察评分（共享约 60-64%的方差），因为残差方差随着评分的增加而增加，即最严重的患者（Bland-Altman 图；严重患者的 LCCC＜0.60）。
（i）MDS-UPDRS 第 I 部分（nM-EDL）和 NMSS 显示出很强的收敛有效性；（ii）然而，使用加权回归模型的方程转换后的评分表明，对于最严重的 NMS 患者，它们并不一致。
