摘要
Objectives: To establish an ADL prediction model for Parkinson’s inpatients as an auxiliary evaluation scheme. Methods: The data of Parkinson’s patients hospitalized in the Department of Neurology of Affiliated Brain Hospital of Guangzhou Medical University from 2019 to 2022, which suited the criteria were collected, and a multiple linear regression model was established with serum total protein, serum albumin, age, BMI and education level as independent variables and BI scores as dependent variables. Results: A total of 95 PD patients were included (mean 70.05 ± 10.87 years): 53 males and 42 females. The correlation analysis showed that the serum total protein (r = 0.398, P Conclusion: The ADL multiple linear regression model can be used as an important means to evaluate the ADL ability of PD patients in hospital.
Objectives: To establish an ADL prediction model for Parkinson’s inpatients as an auxiliary evaluation scheme. Methods: The data of Parkinson’s patients hospitalized in the Department of Neurology of Affiliated Brain Hospital of Guangzhou Medical University from 2019 to 2022, which suited the criteria were collected, and a multiple linear regression model was established with serum total protein, serum albumin, age, BMI and education level as independent variables and BI scores as dependent variables. Results: A total of 95 PD patients were included (mean 70.05 ± 10.87 years): 53 males and 42 females. The correlation analysis showed that the serum total protein (r = 0.398, P Conclusion: The ADL multiple linear regression model can be used as an important means to evaluate the ADL ability of PD patients in hospital.
