Abstract

Objective

To evaluate the relevance of the angle of progression (AOP) and head-perineum distance (HPD) for predicting the type of delivery and duration of the second stage of labor using intrapartum ultrasonography.

Methods

In total, 221 women in labor with a single gestational sac at ≥37 weeks of gestation and fetuses in cephalic presentation underwent two-dimensional ultrasonography by transperineal route for measurements of AOP and HPD. Correlations between the type of delivery (vaginal or surgical (cesarean section and forceps)), duration of the second stage of labor, and fetal and maternal characteristics were assessed. AOP and HPD variables were separately studied in the first and second stages of labor. Multivariate logistic regression was followed in stages to identify the predictors for the surgical delivery outcome - stepwise forward method.

Results

In total, 153 (69.2%) women underwent vaginal deliveries, 7 (3.2%) underwent forceps deliveries, and 61 (27.6%) underwent cesarean deliveries. AOP was a statistically significant parameter in first and second stages of labor (107.8 ± 12.1° versus 100.8 ± 13.7°; p = .017), with an inverse correlation with the occurrence of vaginal delivery. HPD was a statistically significant parameter in the second stage of labor (3.42 ± 0.84 cm versus 4.17 ± 0.54 cm; p < .003), with a direct correlation with the occurrence of surgical delivery. The value of AOP that optimized the curve was 129.9° with 85% specificity and 63% sensitivity for the vaginal delivery endpoint. The value of HPD that optimized the curve was 4.3 cm with 69% specificity and 89% sensitivity for the surgical delivery endpoint. In the first phase, the variables defining the type of delivery were the following: height, body mass index, and AOP. In the second phase, the variables defining were the following: height, labor analgesia, HPD, and position of the fetal occiput.

Conclusion

AOP and HPD determined by intrapartum ultrasonography were associated with duration of labor, which may aid in predicting the type of delivery in association with clinical parameters.