Prediction of urinary infection risks and its predictive nursing measures for benign prostatic hyperplasia

Abstract

Objective To predict the urinary infection factors by classification tree model for benign prostatic hyperplasia (BPH) patients with postoperative urinary tract, and put forward nursing measures toward these risk factors. Methods By the methods of medical records information acquisition and prevalence study, patients were collected, who saw a doctor and accepted the TURP for the treatment of urinary tract infection with 112 cases infected and 2 586 cases not infected retrospectively in 7 hospitals in Daqing. All information acquired by recording or documents. The model was constructed that whether occurred postoperative urinary tract infection was set up as outcome variable and the possible risks for postoperative urinary tract infections was established as independent variable. According to the model result, model risk factors will be put forward. Results Catheter indwelling time, age, degree of anxiety, diabetes and smoking were the main risk factors for postoperative BPH urinary tract infection (t=14.23, 11.30, 10.42, 6.23, 8.27, 7.29; P<0.05) , and catheter indwelling time had the largest effect. Conclusions For patients with different ages, to shorten the time for placing a urinary catheter, anxiety levels and blood glucose control, strict quitting smoking can reduce the incidence of postoperative BPH urinary tract infection. Key words: Benign prostatic hyperplasia; Urinary tract infection; Risk factor; Predictive nursing measure