Measuring Parkinson's disease over time: The real‐world within‐subject reliability of the MDS‐UPDRS

Background An important challenge in Parkinson's disease research is how to measure disease progression, ideally at the individual patient level. The MDS‐UPDRS, a clinical assessment of motor and nonmotor impairments, is widely used in longitudinal studies. However, its ability to assess within...

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Published inMovement disorders Vol. 34; no. 10; pp. 1480 - 1487
Main Authors Evers, Luc J.W., Krijthe, Jesse H., Meinders, Marjan J., Bloem, Bastiaan R., Heskes, Tom M.
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.10.2019
Wiley Subscription Services, Inc
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ISSN0885-3185
1531-8257
1531-8257
DOI10.1002/mds.27790

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Summary:Background An important challenge in Parkinson's disease research is how to measure disease progression, ideally at the individual patient level. The MDS‐UPDRS, a clinical assessment of motor and nonmotor impairments, is widely used in longitudinal studies. However, its ability to assess within‐subject changes is not well known. The objective of this study was to estimate the reliability of the MDS‐UPDRS when used to measure within‐subject changes in disease progression under real‐world conditions. Methods Data were obtained from the Parkinson's Progression Markers Initiative cohort and included repeated MDS‐UPDRS measurements from 423 de novo Parkinson's disease patients (median follow‐up: 54 months). Subtotals were calculated for parts I, II, and III (in on and off states). In addition, factor scores were extracted from each part. A linear Gaussian state space model was used to differentiate variance introduced by long‐lasting changes from variance introduced by measurement error and short‐term fluctuations. Based on this, we determined the within‐subject reliability of 1‐year change scores. Results Overall, the within‐subject reliability ranged from 0.13 to 0.62. Of the subscales, parts II and III (OFF) demonstrated the highest within‐subject reliability (both 0.50). Of the factor scores, the scores related to gait/posture (0.62), mobility (0.45), and rest tremor (0.43) showed the most consistent behavior. Conclusions Our results highlight that MDS‐UPDRS change scores contain a substantial amount of error variance, underscoring the need for more reliable instruments to forward our understanding of the heterogeneity in PD progression. Focusing on gait and rest tremor may be a promising approach for an early Parkinson's disease population. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Relevant conflicts of interest/financial disclosures: Luc J.W. Evers, Jesse H. Krijthe, Marjan J. Meinders, Bastiaan R. Bloem, and Tom M. Heskes have nothing to declare.
Funding agencies: ZonMw 91215076 “Big Data for Personalised Medicine.”
ISSN:0885-3185
1531-8257
1531-8257
DOI:10.1002/mds.27790