Influencing factors and prediction model construction of cognitive impairment in young-old patients with Parkinson's disease
CUI Xiaofang
LU Xiao
YU Hongmei
HAN Hongjuan
Abstract：Objective:To investigate the risk factors for cognitive impairment in the young-old patients with Parkinson's disease(PD),and to construct a prediction model based on the risk factors.Methods:A total of 164 young-old PD patients who completed the 5-year follow-up from PPMI database were included in this study.Montreal Cognitive Assessment(MoCA)was used to assess cognitive function.164 young-old PD patients were divided into cognitive normal group(PD-NC)and cognitive impairment group(PD-CI).Logistic regression analysis was used to explore the risk factors for cognitive impairment in young-old patients with PD,and a predictive model was constructed based on these factors.Results:Among 164 young-old PD patients,101 were in the PD-NC group and 63 were in the PD-CI group,and the incidence of cognitive impairment was 38.4%.Logistic regression analysis showed that age,years of education,MDS-UPDRSⅡand MDS-UPDRS Ⅲ scores entered the regression equation.The AUC of the constructed prediction model was 0.815.Conclusions:The cognitive function of young-old patients with PD is affected by age,years of education,activities of daily living and motor function.The established prediction model has good discrimination and calibration,which can provide a reference for early screening and intervention of cognitive impairment in young-old patients with PD.
Keywords：Parkinson's diseasethe young-oldcognitive impairmentinfluencing factorsactivities of daily livingADLmotor functionprediction modelnursing care
Publication Date：2024-01-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 267-272 )