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

Author

Listed:
  • Kaiyi Mao
  • Leibo Wang
  • Zhouhang Peng
  • Yuchen Mao
  • Peng Zhao
  • Cao Wang
  • Guangxu Zhou
  • Zhen Luo
  • Hongyang Tan

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

Suggested Citation

  • Kaiyi Mao & Leibo Wang & Zhouhang Peng & Yuchen Mao & Peng Zhao & Cao Wang & Guangxu Zhou & Zhen Luo & Hongyang Tan, 2025. "Analysis of risk factors for postoperative complications in hypospadias and construction and validation of a nomogram predictive model," PLOS ONE, Public Library of Science, vol. 20(12), pages 1-15, December.
    • Handle: RePEc:plo:pone00:0339188
    DOI: 10.1371/journal.pone.0339188
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