Abstract:
OBJECTIVE To explore the risk factor for postoperative nosocomial infection in the bladder tumor patients undergoing electrosurgical resection.
METHODS A total of 162 bladder tumor patients who received the electrosurgical resection in the hospital from Aug 2015 to Jul 2017 were enrolled in the study, the targeted monitoring was carried out for the patients who had the postoperative nosocomial infection, and the multivariate logistic regression analysis was performed for the risk factors for the postoperative nosocomial infection.
RESULTS Of the patients who received the electrosurgical resection, 17 had postoperative nosocomial infection, with the infection rate 10.49%, 47.06%(8/17) of whom had respiratory system infection, 35.29%(6/17) had urinary system infection, and 11.76%(2/17) had surgical incision infection, and there were significant differences (
P<0.05). There were significant differences in the age (no less than 60 years of age), diabetes mellitus, chronic pulmonary diseases, blood tumor sites (multiple ), duration of electrosurgical resection (no less than 90 min), preoperative antibiotics prophylaxis, no less than 5 times of bladder irrigation, urinary catheter indwelling time no less than 1 week, length of hospital stay no less than 28 days, poor hand hygiene and poor ward hygiene among the patients in the same group (
P<0.05).The result of the multivariate logistic regression analysis showed that the independent risk factors for the postoperative nosocomial infection in the patients undergoing the electrosurgical resection included the diabetes mellitus, chronic pulmonary diseases, bladder tumor sites, electrosurgical resection duration, preoperative antibiotics prophylaxis, number of times of bladder irrigation, urinary catheter indwelling time, length of hospital stay, hand hygiene and ward environment as well as levels of albumin, hemoglobin and white blood cell.
CONCLUSIONS There are a variety of high risk factors for the postoperative nosocomial infection in the bladder tumor patients undergoing electrosurgical resection. The multivariate logistic regression analysis may facilitate the diagnosis of the patients with nosocomial infection, help to explore the causes of the infection and take the prevention measures in early stage so as to reduce the incidence of postoperative nosocomial infection.