Clinical characteristics and nomogram model for predicting the risk of recurrence of complicated urinary tract infection in pediatric patients

Autor: Jing Jiang, Xiu-Ying Chen, Hui Guo
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Druh dokumentu: article
ISSN: 2045-2322
DOI: 10.1038/s41598-024-76901-0
Popis: Abstract Complicated urinary tract infection (cUTI) has higher incidences of antibiotic resistance, recurrence, chronicity, and progression. There exist differences in the immune functions, anatomical structures and physiological functions of urinary tract system between children and adults. In addition, the immature stage of hygiene habit development and the inability to express discomfort accurately all contribute to cUTI recurrence in pediatric patients. cUTI recurrence in children can lead to serious consequences such as growth and development delay, renal scars, and progression to end-stage kidney diseases. Despite the high incidence of cUTI recurrence, no predictive model currently exists to guide targeted intervention in pediatric patients. This study aimed to establish a nomogram to predict the risk of cUTI recurrence in children, thereby facilitating targeted prevention and treatment strategies in pediatric patients. The nomogram was developed based on a retrospective cohort that included 421 pediatric patients with cUTI at West China Second University Hospital from January 2020 to August 2023. The patients were randomly divided into a training set and a validation set in a 3:1 ratio. Logistic regression analysis was used to identify risk factors and construct the nomogram for predicting the risk of cUTI recurrence, followed by validation and performance analysis. Of the 421 children with cUTI, the recurrence rate of cUTI was 68.4% (288 cases) during an average follow-up duration of 22.9 months. The nomogram comprised female gender, history of urinary tract surgery, Escherichia coli in urine culture, renal dysfunction, and vesicoureteral reflux as predictors of cUTI recurrence in pediatric patients. The model showed favorable performance with C-index values of 0.735 and 0.750 in the training dataset and the validation dataset, respectively. The decision curve analysis revealed that the nomogram might be clinically useful. The reliable nomogram would be beneficial for clinicians to identify children with high risks of cUTI recurrence for targeted intervention.
Databáze: Directory of Open Access Journals
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