Author(s)

Lihe Huang^1*, Xuezhen Deng¹, Jieyi Yang², Xuemei He¹, Yanchun Zhu¹, Lijian Chen¹

¹Neurology Department, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
²Guangzhou Medical University, Guangzhou, China.

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 < 0.001), serum albumin (r = 0.217, P = 0.035), age (r = -0.434, P < 0.001), BMI (r = 0.269, P = 0.008) were respectively linearly correlated with BI total score, and education level is negatively correlated with BI scores (Kendall’s tau-b = -0.2, P = 0.011). A multiple linear regression model which established with serum total protein, serum albumin, age, BMI and education level as independent variables and BI scores as dependent variables, is statistically significant (F = 9.041, P < 0.001, adjust R2 = 0.3). Conclusion: The ADL multiple linear regression model can be used as an important means to evaluate the ADL ability of PD patients in hospital.

Parkinson’s Disease, Nursing, Serum Total Protein, Serum Albumin, Activities of Daily Living

Huang, L. , Deng, X. , Yang, J. , He, X. , Zhu, Y. and Chen, L. (2022) Serum Protein Level Is Related to ADL in Patients with Parkinson’s Disease. Open Journal of Nursing, 12, 738-744. doi: 10.4236/ojn.2022.1211051.