Conversion between NMSS and MDS-NMS in Parkinson's Disease

IF 7.6 1区 医学 Q1 CLINICAL NEUROLOGY Movement Disorders Pub Date : 2025-03-20 DOI:10.1002/mds.30172
Michela Garon MSc, José-Manuel Rojo-Albuin, K. Ray Chaudhuri DSc, FRCP, MD, Alexandra Rizos MSc, Carmen Rodriguez-Blazquez PhD, Eugenia Mamikonyan MS, Roberta Biundo PsyD, PhD, Anette Schrag FRCP, PhD, Daniel Weintraub MD, Angelo Antonini MD, PhD, Per Odin MD, PhD, Pablo Martinez-Martin MD, PhD
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Abstract

Background

The burden of non-motor symptoms in Parkinson's disease (PD) can be measured with the Non-Motor Symptoms Scale (NMSS) and the International Parkinson and Movement Disorder Society Non-Motor Rating Scale (MDS-NMS), for which scoring systems, structure and clinical coverage differ.

Objectives

The goal was to develop conversion formulas between the NMSS and the MDS-NMS scores.

Methods

Data from 402 patients with PD participating in the primary MDS-NMS validation study were used. The association between domain and total scores of both scales was assessed by the Spearman rank correlation coefficient and Kendall's W concordance coefficient. Equations for between-scale transformation of total score were constructed from weighted linear regression models.

Results

Spearman rank correlations showed that MDS-NMS domains correlated 0.39 to 0.88 with the corresponding NMSS domains. The equation for transforming the NMSS total score to MDS-NMS total score is: MDS-NMS = 11.629 + 1.624 × NMSS (P < 0.001, R2 = 0.748). For converting the MDS-NMS total score to NMSS total score, the formula is NMSS = 2.475 + 0.495 × MDS-NMS (P < 0.001, R2 = 0.771).

Conclusions

Our conversion equations enable direct comparison of the NMSS and MDS-NMS instruments, facilitating data comparability across studies. © 2025 International Parkinson and Movement Disorder Society.

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帕金森病中NMSS和MDS‐NMS之间的转换
帕金森病(PD)的非运动症状负担可以用非运动症状量表(NMSS)和国际帕金森与运动障碍学会非运动评定量表(MDS - NMS)来衡量,这两种评分系统、结构和临床覆盖范围不同。目的:建立NMSS和MDS - NMS评分之间的转换公式。方法采用402例PD患者的数据,这些患者参与了MDS - NMS的初步验证研究。采用Spearman秩相关系数和Kendall's W一致性系数评价两个量表的域和总分之间的相关性。用加权线性回归模型构建总分的尺度间变换方程。结果spearman秩相关分析显示,MDS‐NMS域与相应的NMSS域的相关系数为0.39 ~ 0.88。将NMSS总分转化为MDS‐NMS总分的公式为:MDS‐NMS = 11.629 + 1.624 × NMSS (P <;0.001, r2 = 0.748)。将MDS‐NMS总分转换为NMSS总分,公式为:NMSS = 2.475 + 0.495 × MDS‐NMS (P <;0.001, r2 = 0.771)。结论sour转换方程可以直接比较NMSS和MDS‐NMS仪器,促进了研究间数据的可比性。©2025国际帕金森和运动障碍学会。
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来源期刊
Movement Disorders
Movement Disorders 医学-临床神经学
CiteScore
13.30
自引率
8.10%
发文量
371
审稿时长
12 months
期刊介绍: Movement Disorders publishes a variety of content types including Reviews, Viewpoints, Full Length Articles, Historical Reports, Brief Reports, and Letters. The journal considers original manuscripts on topics related to the diagnosis, therapeutics, pharmacology, biochemistry, physiology, etiology, genetics, and epidemiology of movement disorders. Appropriate topics include Parkinsonism, Chorea, Tremors, Dystonia, Myoclonus, Tics, Tardive Dyskinesia, Spasticity, and Ataxia.
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