Prediction Model for Urinary Tract Infection in Pediatric Urological Surgery Patients.

Abstract

Background:

Urinary tract infection (UTI) is a common complication in pediatric urological surgery patients and is associated with long-term sequelae, including subsequent recurrent infections and renal scarring. In this study, we aimed to explore the risk factors for UTI in pediatric urological surgery patients and construct a predictive model for UTI.

Materials and Methods:

A total of 2,235 pediatric patients who underwent urological surgery at a tertiary hospital between February 2019 and January 2020 were included. A multivariate logistic regression model was applied to identify the predictive factors, and a predictive model was constructed using a receiver operating characteristic curve. A multifactorial predictive model was used to categorize the risk of UTI based on the weight of the evidence.

Results:

A total of 341 patients with UTI were identified, which corresponded to a prevalence of 15.26% in pediatric urological surgery patients. Multivariate analysis identified six significant risk factors for UTI, including age <12.0 months, upper urinary tract disease, not using an indwelling drainage tube, hospital stay ≥10 days, administration of two or more types of antibiotics, and stent implantation. A combination of the aforementioned factors produced an area under the curve value of 88.37% for preventing UTI in pediatric urological surgery patients. A multifactorial predictive model was created based on the combination of these factors.

Conclusions:

The constructed multifactorial model could predict UTI risk in pediatric urological surgery patients with a relatively high predictive value.

• Authors: Yi Chen, Xiao-Hua Ge, Qun Yu, Ying Wang, Sheng-Mei Zhu, Jia-Ni Yuan, Wen Zong
• Journal: Frontiers in public health (Front Public Health) Vol. 10 Pg. 888089 ( 2022) ISSN: 2296-2565 [Electronic] Switzerland
• PMID: 35812501 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2022 Chen, Ge, Yu, Wang, Zhu, Yuan and Zong.

Topics

• Child
• Humans
• Infant
• Prevalence
• ROC Curve
• Risk Factors
• Urinary Tract Infections (complications, etiology)