年轻老年帕金森病病人认知障碍的影响因素及其预测模型构建

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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

School of Public Health， Shanxi Medical University/Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment/MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention， Shanxi 030001 China

Corresponding Author  YU Hongmei， E⁃mail：yu@sxmu.edu.cn

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⁃UPDRSⅡ and 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 disease； the young⁃old； cognitive impairment； influencing factors； activities of daily living， ADL； motor function； prediction model； nursing care

摘要  目的：探讨年轻老年帕金森病病人认知障碍的风险因素，并依据风险因素构建预测模型。（剩余15447字）