Author(s)

Xuemei He, Yanchun Zhu, Xin Che, Le Hou, Chenglong Mo, Xuezhen Deng, Dong Zheng^*

Neurology Department, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

Objective: To establish a prediction model of activities of daily living (ADL) as an auxiliary evaluation scheme of hospitalized Parkinson’s disease patients. Methods: The hospitalization data of Parkinson’s disease in patients in the Department of Neurology, Affiliated Brain Hospital of Guangzhou Medical University were collected. Firstly the NSE values and each BI item were analyzed by Pearson correlation analysis. Secondly, The NSE, Age, Body weight and Education level related to the total score of Barthel index were obtained by correlation analysis. At last, a multiple linear regression model was established with NSE, Age, Body weight and Education level as independent variables and BI as dependent variables. Results: A total of 95 patients with PD were enrolled in this study, including 53 males (55.8%) and 42 females (44.2%). The effects of the four independent variables incorporated in the model on the total score of Barthel index were statistically significant, as well as the regression model (F = 9.531, P < 0.001). Conclusion: The prediction model established in this research can effectively predict the activities of daily living of Parkinson’s patients and can be used as an auxiliary evaluation scheme of the hospitalized PD patients.

Parkinson’s Disease, Activities of Daily Living, Neuron-Specific Enolase, Nursing

He, X. , Zhu, Y. , Che, X. , Hou, L. , Mo, C. , Deng, X. and Zheng, D. (2023) Research on the Correlation between NSE Level and Activities of Daily Living in Parkinson’s Disease. Journal of Biosciences and Medicines, 11, 1-8. doi: 10.4236/jbm.2023.119001.