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Variables that predict the success of labor induction


*Beatriz Bueno
Department of Obstetrics and Gynecology
Santa Cristina University Hospital
Universidad Autónoma de Madrid
C/Maestro Vives, 2
28009 Madrid


Background.  To analyze the clinical and sonographic variables that affect the success of labor induction.

Methods.  Bishop score, cervical length, and parity were studied in 196 pregnant women in the prediction of successful vaginal delivery within 24 hr of induction. Logistic regression and segmentation analysis were performed.

Results.  Cervical length [odds ratio (OR) 1.089, P < 0.001], Bishop score (OR 0.751, P = 0.001), and parity (OR 6.85, P < 0.001) predict the success of labor induction. The best cut-off points for cervical length were <16.5, 16.5–27, and >27 mm (P = 0.0016). In the analysis of the Bishop score, we also obtained three discriminatory points, 0, 1–4, and >4 (P = 0.0006), that best predict the labor induction. Finally, in a global analysis of the variables studied, the best statistic sequence that predicts the labor induction was found when we introduced parity in the first place. The success of labor induction in nulliparous was 50.77 and 83.33% in multiparous (P = 0.0001).

Conclusions.  Cervical length, Bishop score, and parity predict the success of labor induction.

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