Unknown

Dataset Information

0

Parkinson's Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baseline.


ABSTRACT: Objective:The aim of this study is to present a predictive model of Parkinson's disease (PD) global severity, measured with the Clinical Impression of Severity Index for Parkinson's Disease (CISI-PD). Methods:This is an observational, longitudinal study with annual follow-up assessments over 3 years (four time points). A multilevel analysis and multiple imputation techniques were performed to generate a predictive model that estimates changes in the CISI-PD at 1, 2, and 3 years. Results:The clinical state of patients (CISI-PD) significantly worsened in the 3-year follow-up. However, this change was of small magnitude (effect size: 0.44). The following baseline variables were significant predictors of the global severity change: baseline global severity of disease, levodopa equivalent dose, depression and anxiety symptoms, autonomic dysfunction, and cognitive state. The goodness-of-fit of the model was adequate, and the sensitive analysis showed that the data imputation method applied was suitable. Conclusion:Disease progression depends more on the individual's baseline characteristics than on the 3-year time period. Results may contribute to a better understanding of the evolution of PD including the non-motor manifestations of the disease.

SUBMITTER: Ayala A 

PROVIDER: S-EPMC5674937 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC5732865 | biostudies-literature
| S-EPMC6839458 | biostudies-literature
| S-EPMC7540547 | biostudies-literature
| S-EPMC8292315 | biostudies-literature
| S-EPMC5611404 | biostudies-literature
| S-EPMC9226540 | biostudies-literature
| S-EPMC5560285 | biostudies-other
| S-EPMC7853195 | biostudies-literature
| S-EPMC6563450 | biostudies-literature
| S-EPMC9960095 | biostudies-literature