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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
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Risk factor analysis and nomogram predictive model construction for neonatal hypospadias: a large-scale multicenter
Wen Hu1, Jian Zhao1, Cheng Chen1
1Department of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Summary
Premature birth, multiple pregnancies, gestational hypertension, fetal distress, and abnormal placental morphology are key risk factors for hypospadias. A new nomogram model effectively predicts hypospadias risk in newborns.
Area of Science:
- Medical research
- Pediatric health
- Obstetrics
Background:
- Hypospadias is a congenital condition affecting male newborns.
- Identifying reliable risk factors is crucial for early detection and intervention.
Purpose of the Study:
- To identify independent risk factors for hypospadias.
- To develop a practical predictive model for hypospadias occurrence.
Main Methods:
- Retrospective multicenter study analyzing medical records of mothers and newborns.
- Data collected from January 2019 to December 2021.
- Nomogram predictive model constructed using identified risk factors.
Main Results:
- Incidence of hypospadias was 0.325% among 42,809 male births.
- Premature birth, multiple pregnancies, gestational hypertension, fetal distress, and abnormal placental morphology identified as independent risk factors.
- Nomogram model demonstrated high predictive accuracy (AUC > 0.83) with good calibration.
Conclusions:
- Established a nomogram predictive model for hypospadias.
- The model offers an effective, convenient, and visual tool for risk prediction.
- Findings highlight key maternal and pregnancy factors associated with hypospadias.
