Role of risk assessment model based on Logistic regression analysis in preventing nosocomial infection

Abstract

Objective To investigate the preventive effect of risk assessment model based on Logistic regression analysis on nosocomial infection. Methods The clinical data of 1 626 hospitalized patients in our hospital from January 2008 to December 2014 in the Center Hospital of Xiaogan Affiliated to Wuhan University of Science and Technology were analyzed, retrospectively, the patients were divided into the infection group (520 cases) and the control group (1 106 cases) according to whether with hospital infection during hospitalization. Logistic regression analysis was used to determine the risk factors of nosocomial infection and form a risk assessment scale. A total of 352 hospitalized patients admitted from January 2015 to February 2016 were assessed by this sacle for nosocomial infection risk. Results Hospitalized time > 15 days, the application of triple antibiotics and ventilator, indwelling catheter, general anesthesia, liver disease, complicated with blood diseases, diabetes, hormone therapy, radiotherapy or chemotherapy, surgery time > 3 h, invasive operation were all independent risk factors for nosocomial infection (all P < 0.05). The incidence of nosocomial infection after establishment of the risk assessment scale was 25.00%, which was lower than that before the scale established (31.98%), with significant difference (χ2 = 6.622, P < 0.05). Conclusions The risk assessment model based on Logistic regression analysis could effectively assess the risk of infection in patients, provide a basis for the prevention of nosocomial infections, and reduce the risk of nosocomial infections. Key words: Hospital infection; Logistic regression analysis; Risk assessment; Prevention