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

K Kaiyi Mao L Leibo Wang (School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences) Z Zhouhang Peng Y Yuchen Mao P Peng Zhao C Cao Wang (Department of Chemistry) G Guangxu Zhou Z Zhen Luo (School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules) H 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  < 0.001), surgeon’s experience (OR=0.44, 95% CI: 0.26–0.75, P  = 0.0026), glans width (OR=0.70, 95% CI: 0.59–0.82, P  < 0.001), length of reconstructed urethra (OR=1.03, 95% CI: 1.01–1.06, P  = 0.003), hypospadias classification (OR=4.26, 95% CI: 1.96–9.26, P  < 0.001), and urethral stent retention time (OR=0.25, 95% CI: 0.12–0.52, P  < 0.001). Based on these factors, a nomogram was constructed. The area under the curve of the nomogram model was 0.800, and after internal validation it was 0.821, indicating good discriminative ability. Furthermore, the model exhibited excellent calibration and high clinical utility. Conclusion This study developed and validated a nomogram prediction model for postoperative complications in hypospadias surgery based on six factors: age, surgeon’s experience, glans width, length of reconstructed urethra, hypospadias classification, and urethral stent retention time. It provides a scientific basis for implementing personalized medicine in hypospadias patients in the future.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 12
Published December 18, 2025
Pages e0339188
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (9)

K

Kaiyi Mao

L

Leibo Wang

School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences

Z

Zhouhang Peng

Y

Yuchen Mao

P

Peng Zhao

C

Cao Wang

Department of Chemistry

G

Guangxu Zhou

Z

Zhen Luo

School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules

H

Hongyang Tan