Variables that predict the success of labor induction.
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.
Bueno
Beatriz
B
Department of Obstetrics and Gynecology, Santa Cristina University Hospital, Madrid, Spain. Isanfrutosl@sego.es
San-Frutos
Luis
L
Salazar
Francisco
F
Pérez-Medina
Tirso
T
Engels
Virginia
V
Archilla
Beatriz
B
Izquierdo
Fernando
F
Bajo
José
J
D000293:Adolescent; D000328:Adult; D002584:Cervix Uteri / Q000000981:diagnostic imaging*; D005260:Female; D005865:Gestational Age; D006801:Humans; D007751:Labor, Induced; D016015:Logistic Models; D010298:Parity; D011237:Predictive Value of Tests; D011247:Pregnancy; D011256:Pregnancy Outcome; D012372:ROC Curve; D016216:Ultrasonography, Prenatal / Q000379:methods*