Skip to main content
Journal cover image

Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling.

Publication ,  Conference
Luo, S; Zou, H; Stebbins, GT; Schwarzschild, MA; Macklin, EA; Chan, J; Oakes, D; Simuni, T; Goetz, CG; Parkinson Study Group SURE-PD3 Investigators,
Published in: Movement disorders : official journal of the Movement Disorder Society
September 2022

Longitudinal item response theory (IRT) models previously suggested that the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) motor examination has two salient domains, tremor and nontremor, that progress in time and in response to treatment differently.Apply longitudinal IRT modeling, separating tremor and nontremor domains, to reanalyze outcomes in the previously published clinical trial (Study of Urate Elevation in Parkinson's Disease, Phase 3) that showed no overall treatment effects.We applied unidimensional and multidimensional longitudinal IRT models to MDS-UPDRS motor examination items in 298 participants with Parkinson's disease from the Study of Urate Elevation in Parkinson's Disease, Phase 3 (placebo vs. inosine) study. We separated 10 tremor items from 23 nontremor items and used Bayesian inference to estimate progression rates and sensitivity to treatment in overall motor severity and tremor and nontremor domains.The progression rate was faster in the tremor domain than the nontremor domain before levodopa treatment. Inosine treatment had no effect on either domain relative to placebo. Levodopa treatment was associated with greater slowing of progression in the tremor domain than the nontremor domain regardless of inosine exposure. Linear patterns of progression were observed. Despite different domain-specific progression patterns, tremor and nontremor severities at baseline and over time were significantly correlated.Longitudinal IRT analysis is a novel statistical method addressing limitations of traditional linear regression approaches. It is particularly useful because it can simultaneously monitor changes in different, but related, domains over time and in response to treatment interventions. We suggest that in neurological diseases with distinct impairment domains, clinical or anatomical, this application may identify patterns of change unappreciated by standard statistical methods. © 2022 International Parkinson and Movement Disorder Society.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Movement disorders : official journal of the Movement Disorder Society

DOI

EISSN

1531-8257

ISSN

0885-3185

Publication Date

September 2022

Volume

37

Issue

9

Start / End Page

1904 / 1914

Related Subject Headings

  • Uric Acid
  • Tremor
  • Severity of Illness Index
  • Parkinson Disease
  • Neurology & Neurosurgery
  • Levodopa
  • Inosine
  • Humans
  • Bayes Theorem
  • 3209 Neurosciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Luo, S., Zou, H., Stebbins, G. T., Schwarzschild, M. A., Macklin, E. A., Chan, J., … Parkinson Study Group SURE-PD3 Investigators, . (2022). Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling. In Movement disorders : official journal of the Movement Disorder Society (Vol. 37, pp. 1904–1914). https://doi.org/10.1002/mds.29154
Luo, Sheng, Haotian Zou, Glenn T. Stebbins, Michael A. Schwarzschild, Eric A. Macklin, James Chan, David Oakes, Tanya Simuni, Christopher G. Goetz, and Christopher G. Parkinson Study Group SURE-PD3 Investigators. “Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling.” In Movement Disorders : Official Journal of the Movement Disorder Society, 37:1904–14, 2022. https://doi.org/10.1002/mds.29154.
Luo S, Zou H, Stebbins GT, Schwarzschild MA, Macklin EA, Chan J, et al. Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling. In: Movement disorders : official journal of the Movement Disorder Society. 2022. p. 1904–14.
Luo, Sheng, et al. “Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling.Movement Disorders : Official Journal of the Movement Disorder Society, vol. 37, no. 9, 2022, pp. 1904–14. Epmc, doi:10.1002/mds.29154.
Luo S, Zou H, Stebbins GT, Schwarzschild MA, Macklin EA, Chan J, Oakes D, Simuni T, Goetz CG, Parkinson Study Group SURE-PD3 Investigators. Dissecting the Domains of Parkinson's Disease: Insights from Longitudinal Item Response Theory Modeling. Movement disorders : official journal of the Movement Disorder Society. 2022. p. 1904–1914.
Journal cover image

Published In

Movement disorders : official journal of the Movement Disorder Society

DOI

EISSN

1531-8257

ISSN

0885-3185

Publication Date

September 2022

Volume

37

Issue

9

Start / End Page

1904 / 1914

Related Subject Headings

  • Uric Acid
  • Tremor
  • Severity of Illness Index
  • Parkinson Disease
  • Neurology & Neurosurgery
  • Levodopa
  • Inosine
  • Humans
  • Bayes Theorem
  • 3209 Neurosciences