A simple model to predict vaginal deliveries
We performed a forward multivariate logistic regression analysis model
that included the factors associated with the delivery mode in the
univariate analysis (P<0.1). In this model, the AoP and
maternal height were the independent factors associated with the mode of
delivery after adjustment for confounders, including maternal age,
gestational age, overweight (BMI≥25 Kg/m2), premature
rupture of the membrane, labor induction and oxytocin
augmentation
(Table S4). The combination of maternal height and the AoP could
evaluate
whether women were to undergo vaginal delivery, yielding an AUC of 0.738
(95% CI, 0.763-0.793; P<0.001) at T1, 0.820 (95% CI,
0.752-0.888; P<0.001) at T2 and 0.940 (95% CI, 0.885-0.995;
P<0.001) at T3 (Figure 4), respectively. Figure 3(b) showed
the optimal calibration of the prediction model. This model was also
suitable for women with fetuses in the occiput posterior or transverse
position at the latent phase, yielding AUC 0.725 (95% CI, 0.649-0.801;
P<0.001) at T1 and 0.790 (95% CI, 0.705-0.874;
P<0.001) at T2, respectively (Figure S2).