Table 3.
Logistic regression model for predicting a secondary cesarean section.
| Independent Variable | Regr. Coefficient | 95% CI | p-Value | OR | AUC | DeLong 1 | DeLong 2 | |
|---|---|---|---|---|---|---|---|---|
| obstetric conjugate (MRI) [cm] | −0.47 | 0.29 | 1.33 | 0.22 | 0.63 | 0.62 | Ref. | 0.33 |
| adj. obstetric conjugate * [cm] | −0.52 | 0.28 | 1.28 | 0.19 | 0.60 | 0.66 | ||
| interspinous distance (MRI) [cm] | −0.45 | 0.32 | 1.28 | 0.20 | 0.64 | 0.63 | 0.95 | 0.21 |
| external conjugate—9 cm [cm] | −0.06 | 0.73 | 1.22 | 0.64 | 0.94 | 0.53 | 0.33 | Ref. |
| waist girth (body scan) [cm] | 0.08 | 0.99 | 1.18 | 0.08 | 1.08 | 0.66 | 0.92 | 0.032 |
| waist girth/body height (body scan) | 0.24 | 1.05 | 1.55 | 0.015 | 1.27 | 0.71 | 0.35 | 0.013 |
| adj. external conjugate # (body scan) [cm] | 0.23 | 0.94 | 1.67 | 0.12 | 1.26 | 0.67 | ||
| distantia spinarum (pelvimeter) [cm] | −0.22 | 0.57 | 1.12 | 0.20 | 0.80 | 0.65 | 0.80 | 0.15 |
| BMI gain during pregnancy [kg/m2] | 0.55 | 1.07 | 2.83 | 0.026 | 1.74 | 0.79 | 0.13 | 0.007 |
* Adjusted for neonatal birth weight; # adjusted for maternal hight. Shown are the predictive models for the primary endpoint of an intrapartum cesarean section. Identified independent variables of the three inner and outer pelvic measurements with a p-value of <0.15 in the univariate regression analysis were chosen for the multivariate logistic regression analysis. In total, the best predictive model was achieved using the BMI gain. A p-value < 0.05 was considered as significant. In prediction of the primary endpoint, all models were equivalent to the OC (DeLong 1). 95% CI, 95%-confidence interval; AUC, area under the curve; OR, Odds ratio; Ref., reference; Regr. Coefficient, Regression coefficient ß.