Etiological Factors and Development of a Predictive Model for Urinary Tract Infections in Cervical Cancer Patients Undergoing Intensity-Modulated Radiotherapy
Abstract
Objective To investigate the distribution characteristics of pathogenic bacteria causing urinary tract infections in cervical cancer patients undergoing intensity-modulated radiotherapy (IMRT). Furthermore, to explore the risk factors and predictive factors associated with urinary tract infections, and to establish a personalized risk prediction model. Methods A retrospective study analyzed 160 cervical cancer patients undergoing intensity-modulated radiotherapy at the People’s Hospital of Ningxia Hui Autonomous Region from 2020 to 2023. The clinical characteristics of the participants were collected, and in combination with microbiological culture results, the distribution and drug resistance of pathogens causing urinary tract infections were analyzed. Using logistic regression and multivariable logistic analysis, we established a predictive model that includes clinical variables. Results Urinary specimens were collected and analyzed from 52 patients with urinary tract infections. The incidence of urinary tract infections in cervical cancer patients after radiotherapy in this study was approximately 32.5%, with the predominant pathogens identified as E. coli, E. faecalis, E. faecium, and P. mirabilis. Invasive procedures (OR 4.202, 95% CI:1.003–17.608; P=0.050), history of ureteral stent insertion (OR 7.260, 95% CI:2.026–26.016; P=0.002), Concurrent chemotherapy (OR 2.587, 95% CI:1.010–6.623; P=0.048), and low serum albumin levels (OR 0.842, 95% CI:0.745–0.951; P=0.006)…
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