Predictive model for risk of cesarean section in pregnant women after induction of labor


Por: Hernández-Martínez A, Pascual-Pedreño AI, Baño-Garnés AB, Melero-Jiménez MR, Tenías-Burillo JM and Molina-Alarcón M

Publicada: 1 mar 2016
Resumen:
Purpose To develop a predictive model for risk of cesarean section in pregnant women after induction of labor. Methods A retrospective cohort study was conducted of 861 induced labors during 2009, 2010, and 2011 at Hospital "La Mancha-Centro" in Alcazar de San Juan, Spain. Multivariate analysis was used with binary logistic regression and areas under the ROC curves to determine predictive ability. Two predictive models were created: model A predicts the outcome at the time the woman is admitted to the hospital (before the decision to of the method of induction); and model B predicts the outcome at the time the woman is definitely admitted to the labor room. Results The predictive factors in the final model were: maternal height, body mass index, nulliparity, Bishop score, gestational age, macrosomia, gender of fetus, and the gynecologist's overall cesarean section rate. The predictive ability of model A was 0.77 [95 % confidence interval (CI) 0.73-0.80] and model B was 0.79 (95 % CI 0.76-0.83). The predictive ability for pregnant women with previous cesarean section with model A was 0.79 (95 % CI 0.64-0.94) and with model B was 0.80 (95 % CI 0.64-0.96). For a probability of estimated cesarean section >= 80 %, the models A and B presented a positive likelihood ratio (+LR) for cesarean section of 22 and 20, respectively. Also, for a likelihood of estimated cesarean section <= 10 %, the models A and B presented a +LR for vaginal delivery of 13 and 6, respectively. Conclusion These predictive models have a good discriminative ability, both overall and for all subgroups studied. This tool can be useful in clinical practice, especially for pregnant women with previous cesarean section and diabetes.

Filiaciones:
Hernández-Martínez A:
 "Mancha-Centro" Teaching Unit, Ciudad Real, Spain.

 , C/Gerona 25 Tomelloso, 13700, Ciudad Real, Spain.

Pascual-Pedreño AI:
 Gynecology and Obstetrics Department at Hospital "Mancha-Centro", Ciudad Real, Spain

Baño-Garnés AB:
 Hospital "Mancha-Centro", Ciudad Real, Spain

Melero-Jiménez MR:
 Hospital "Mancha-Centro", Ciudad Real, Spain

:
 Public Health, Ciudad Real, Spain

Molina-Alarcón M:
 University of Castilla-La Mancha, Ciudad Real, Spain
ISSN: 09320067





ARCHIVES OF GYNECOLOGY AND OBSTETRICS
Editorial
SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY, Alemania
Tipo de documento: Article
Volumen: 293 Número: 3
Páginas: 529-538
WOS Id: 000372601200007
ID de PubMed: 26305030

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