BACKGROUND Efficiently detecting Parkinson's disease(PD)with dementia(PDD)as soon as possible is an important issue in geriatric medicine.AIM To develop a model for predicting PDD based on various neuropsychologic...BACKGROUND Efficiently detecting Parkinson's disease(PD)with dementia(PDD)as soon as possible is an important issue in geriatric medicine.AIM To develop a model for predicting PDD based on various neuropsychological tests using data from a nationwide survey conducted by the Korean Centers for Disease Control and Prevention and to present baseline data for the early detection of PDD.METHODS This study comprised 289 patients who were 60 years or older with PD[110 with PDD and 179 Parkinson's Disease-Mild Cognitive Impairment(PD-MCI)].Regression with optimal scaling(ROS)was used to identify independent relationships between the neuropsychological test results and PDD.RESULTS In the ROS analysis,Korean version of mini mental state ex-amination(MMSE)(KOREAN version of MMSE)(b=-0.52,SE=0.16)and Hoehn and Yahr staging(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 Parkinson's motor symptom and neuropsychological test results.The optimal number of categories(scaling factors)for KOREAN version of MMSE and Hoehn and Yahr Scale was 10 and 7,respectively.CONCLUSION The results of this study suggest that among the various neuropsychological tests conducted,the optimal classification scores for KOREAN version of MMSE and Hoehn and Yahr Scale could be utilized as an effective screening test for the early discrimination of PDD from PD-MCI.展开更多
基金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-2021S1A5A80625262022 Development of Open-Lab based on 4P in the Southeast Zone
文摘BACKGROUND Efficiently detecting Parkinson's disease(PD)with dementia(PDD)as soon as possible is an important issue in geriatric medicine.AIM To develop a model for predicting PDD based on various neuropsychological tests using data from a nationwide survey conducted by the Korean Centers for Disease Control and Prevention and to present baseline data for the early detection of PDD.METHODS This study comprised 289 patients who were 60 years or older with PD[110 with PDD and 179 Parkinson's Disease-Mild Cognitive Impairment(PD-MCI)].Regression with optimal scaling(ROS)was used to identify independent relationships between the neuropsychological test results and PDD.RESULTS In the ROS analysis,Korean version of mini mental state ex-amination(MMSE)(KOREAN version of MMSE)(b=-0.52,SE=0.16)and Hoehn and Yahr staging(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 Parkinson's motor symptom and neuropsychological test results.The optimal number of categories(scaling factors)for KOREAN version of MMSE and Hoehn and Yahr Scale was 10 and 7,respectively.CONCLUSION The results of this study suggest that among the various neuropsychological tests conducted,the optimal classification scores for KOREAN version of MMSE and Hoehn and Yahr Scale could be utilized as an effective screening test for the early discrimination of PDD from PD-MCI.