Developing a nomogram for estimating the risk of needing to perform a caesarean section after induction of labour in pregnancies using a COOK® Cervical Ripening Balloon

Author:

Gao Jing12,Zhang Chao3,Xin Hong1

Affiliation:

1. Department of Obstetrics, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China

2. Department of Obstetrics, The Fourth Hospital of Shijiazhuang, Shijiazhuang, Hebei, China

3. Department of Neurology, Shijiazhuang People’s Hospital, Shijiazhuang, Hebei, China

Abstract

BACKGROUND: Using a COOK® Cervical Ripening Balloon (CCRB) for cervical maturity has become a common clinical practice for the induction of labour (IOL). OBJECTIVE: To develop and validate a predictive instrument that could estimate the risk of a caesarean after IOL in term pregnancies with CCRB treatment. METHODS: The medical records of 415 pregnant women requiring IOL from January 2018 to October 2022 were retrospectively reviewed and randomly selected for training (290) and validation (125) sets in a 7:3 ratio. A model for predicting the risk of a caesarean was virtualised by a nomogram using logistic regression analysis. RESULTS: After completing the multivariate analysis, parity (odds ratio [OR] = 0.226; p= 0.017), modified Bishop score at induction (OR =0.688; p= 0.005) and the artificial rupture of membranes (OR = 0.436; p= 0.010) were identified as the predictors for implementing a caesarean delivery after IOL. The decision curve analysis showed that the model achieved a net benefit across all threshold probabilities. CONCLUSION: We successfully constructed a nomogram for caesarean delivery after IOL in pregnancies with CCRB treatment using factors including parity, modified Bishop score at induction and the artificial rupture of membrane.

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

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