Analysis of risk factors for postoperative complications in hypospadias and construction and validation of a nomogram predictive model

Kaiyi Mao, Leibo Wang, Zhouhang Peng, Yuchen Mao, Peng Zhao, Cao Wang, Guangxu Zhou, Zhen Luo and Hongyang Tan

PLOS ONE, 2025, vol. 20, issue 12, 1-15

Abstract: Background: The incidence of postoperative complications in children with hypospadias is notably high; however, research on predictive models for these complications remains limited. This study aims to analyze the factors associated with postoperative complications following hypospadias surgery and to develop a nomogram predictive model for such complications. Methods: This study included 553 hypospadias patients who underwent surgery at Zunyi Medical University Affiliated Hospital from 1/1/2016–1/1/2023.The patients were randomly divided into training (n = 389) and validation (n = 164) cohorts in a 7:3 ratio. Univariate and multivariate logistic regression analyses were performed on the training cohort to identify risk factors for postoperative complications, which were then used to develop a nomogram prediction model. Finally, the internal validation cohort was used to assess the model’s prognostic accuracy and clinical utility. All statistical analyses were performed using R software(Version 4.2.2). Results: Multivariate logistic regression analysis of the training cohort identified six independent risk factors for postoperative complications in hypospadias surgery: age (OR=1.02, 95% CI: 1.01–1.03, P

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0339188

DOI: 10.1371/journal.pone.0339188

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