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Related Experiment Video

Updated: Jul 16, 2026

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

Nomogram model for predicting spontaneous preterm birth in twin pregnancies: a case-control study.

Wei-Na Xu¹, Ling Ai¹, Xiao-Yan Zhang²

¹Department of Obstetrical, Jiaxing Women and Children's Hospital, Wenzhou Medical University, Jiaxing, 314000, China.

BMC Pregnancy and Childbirth

|July 15, 2026

Summary

A new nomogram effectively predicts spontaneous preterm birth in twin pregnancies. It uses body mass index (BMI), cervical length, and gestational vaginitis for personalized risk assessment.

Keywords:

Delivery outcome Nomogram Risk factor Spontaneous preterm birth Twin pregnancies

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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

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Last Updated: Jul 16, 2026

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Published on: March 21, 2018

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Published on: January 12, 2018

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Area of Science:

Maternal-Fetal Medicine
Obstetrics
Reproductive Health

Background:

Spontaneous preterm birth (SPB) in twin pregnancies poses significant risks.
Identifying predictive factors for SPB in twins is crucial for improved outcomes.

Purpose of the Study:

To identify independent predictors of spontaneous preterm birth in twin pregnancies.
To develop and validate a nomogram for predicting SPB in twin gestations.

Main Methods:

Retrospective analysis of 218 twin pregnancies.
Univariate and multivariate logistic regression for factor identification.
Nomogram construction and validation using ROC curve (AUC) and C-index.

Main Results:

Independent predictors identified: BMI at delivery, second-trimester cervical length, and gestational vaginitis.
The nomogram achieved a C-index of 0.838 and AUC of 0.838.
Decision curve analysis confirmed clinical utility across various probability thresholds.

Conclusions:

A practical nomogram incorporating BMI, cervical length, and gestational vaginitis aids in predicting SPB in twin pregnancies.
This tool supports individualized risk assessment and clinical management strategies.
Further research may refine predictive models for twin pregnancy complications.