LOGISTIC REGRESSION ANALYSIS OF FRAILTY PHENOTYPE IN THE YOUNG AND THE MIDDLE-AGED MAINTENANCE HEMODIALYSIS PATIENTS

Fengli Guo, Jiling Xu, Yaqiong Kang, Haiping Zhou^* 

Naval Hospital of Eastern Theater Command of Chinese People's Liberation Army, Blood Purification Center, Zhoushan City, Zhejiang Province, 316000, China

Objective: To explore the present situation and independent risk factors of frailty phenotype in the young and the middle-aged maintenance hemodialysis patients.

Methods: A total of 196 patients undergoing maintenance hemodialysis in the hemodialysis center of the author's hospital from June 2019 to March 2020 were selected by convenient sampling method. Fried's frailty phenotype evaluation method was used to evaluate their frailty. Patients were divided into groups according to whether they had frailty phenotype. The related information of two groups of patients was compared, and the independent influencing factors of frailty phenotype of the young and the middle-aged MHD patients were screened. 

Results: 92 (46.94%) of 196 young and middle-aged maintenance hemodialysis patients had frailty phenotype. Logistic multiple regression analysis showed that age, sex, income, dialysis age, social support, complications, anxiety, depression and sleep quality were independent risk factors affecting frailty phenotype. 

Conclusion: The incidence of frailty phenotype in the young and the middle-aged maintenance hemodialysis patients is high. To prevent MHD patients from developing frailty phenotype, we should pay attention to patients aged from 30 to 45, with low income, lack of social support, complications, anxiety, depression and poor sleep quality.