A prognostic model to predict the risk of cesarean delivery after induction of labour: development, validation, and clinical utility. Download PDF Abstract Induction of labour (IoL) is an increasingly common obstetric procedure aimed at artificially stimulating labour. Cesarean delivery could occur due to various complications associated with the procedure.
Evaluating the risk of cesarean delivery after IoL is crucial for making informed decisions between IoL and pre-labour cesarean delivery. A prospective cohort study was conducted at the University of Gondar Specialized and Tertiary Hospital, Ethiopia, involving 628 pregnant women. Univariable and multivariable analyses were used to identify predictors, and model selection was based on the log-likelihood ratio test and Bayesian information criterion.
Model accuracy was assessed using the area under the receiver operating characteristic curve (AUC) and a calibration plot. Internal validation was performed through bootstrapping, and the clinical utility of the model was evaluated using decision curve analysis. A simplified risk score and web calculator were developed for practical use.
Medical Disclaimer: This article is for informational purposes only and does not constitute medical advice. Always consult with qualified healthcare professionals for medical decisions and treatment options.
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