Case Control Study
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Aug 19, 2022; 12(8): 1031-1043
Published online Aug 19, 2022. doi: 10.5498/wjp.v12.i8.1031
Can the prediction model using regression with optimal scale improve the power to predict the Parkinson's dementia?
Haewon Byeon
Haewon Byeon, Department of Medical Big Data, Inje University, Gimhae 50834, South Korea
Author contributions: Byeon H was designed the study, involved in data interpretation, preformed the statistical analysis, and assisted with writing the article.
Supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, No. NRF-2018R1D1A1B07041091 and No. NRF-2021S1A5A8062526; and 2022 Development of Open-Lab based on 4P in the Southeast Zone.
Institutional review board statement: The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of National Biobank of Korea under Korea Centers for Disease Control and Prevention (protocol code KBN-2019-1327).
Informed consent statement: All patients gave informed consent.
Conflict-of-interest statement: The author reports no relevant conflicts of interest for this article.
Data sharing statement: Technical appendix, statistical code from the corresponding author at bhwpuma@naver.com.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Haewon Byeon, DSc, PhD, Associate Professor, Director, Department of Medical Big Data, Inje University, No. 329, Gimhae 50834, South Korea. bhwpuma@naver.com
Received: March 16, 2022
Peer-review started: March 16, 2022
First decision: June 11, 2022
Revised: June 15, 2022
Accepted: July 11, 2022
Article in press: July 11, 2022
Published online: August 19, 2022
ARTICLE HIGHLIGHTS
Research background

It has been reported that Parkinson's disease (PD) with dementia (PDD) occurs frequently in people with PD.

Research motivation

The effective early detection of PD is an important topic in the field of geriatric medicine.

Research objectives

The aims of the present study were to develop a model for early detection of PDD based on neuropsychological testing.

Research methods

Data on 289 patients with PD [110 PDD and 179 Parkinson's Disease-Mild Cognitive Impairment (PD-MCI)] who were 60 years or older were used in the study. Regression with optimal scaling was used to identify independent relationships between the screening test results and PDD.

Research results

The Korean version of mini mental state examination (MMSE) (KOREAN version of MMSE) (b = -0.52, SE = 0.16) and Hoehn and Yahr scale (b = 0.44, SE = 0.19) were significantly effective models for distinguishing PDD from PD-MCI (P < 0.05), even after adjusting for all of the test results.

Research conclusions

The optimal number of categories (scaling factors) for KOREAN version of MMSE and Hoehn and Yahr Scale was 10 and 7, respectively.

Research perspectives

We believe that our optimal scaling approach can be used to detect PDD in the early stages.