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Induction of Labor using Misoprostol in a Tertiary Hospital in the Southeast of Brazil

Overview of attention for article published in Revista Brasileira de Ginecologia e Obstetrícia, July 2017
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Title
Induction of Labor using Misoprostol in a Tertiary Hospital in the Southeast of Brazil
Published in
Revista Brasileira de Ginecologia e Obstetrícia, July 2017
DOI 10.1055/s-0037-1604259
Pubmed ID
Authors

Tácito Augusto Godoy Silva, Luciano Eliziário Borges Júnior, Luisa Almeida Tahan, Taynná Ferreira Arantes Costa, Fernanda Oliveira Magalhães, Alberto Borges Peixoto, Wellington de Paula Martins, Edward Araujo Júnior

Abstract

Purpose To assess cases of labor induction with vaginal 25-µg tablets of misoprostol and maternal outcomes in a tertiary hospital in southeastern Brazil. Methods This was a retrospective cohort study of 412 pregnant women with indication for labor induction. Labor induction was performed with vaginal 25-µg tablets of misoprostol in pregnant women with Bishop scores < 6. Stepwise regression analysis was used to identify the factors present at the beginning of induction that could be used as predictors of successful labor induction. Results A total of 69% of the pregnant women who underwent labor induction progressed to vaginal delivery, and 31% of the women progressed to cesarean section. One or two misoprostol tablets were used in 244 patients (59.2%). Of the 412 patients, 197 (47.8%) required oxytocin later on in the labor process, after induction with misoprostol. The stepwise regression analysis showed that only Bishop scores of 4 and 5 and previous vaginal delivery were independent factors with statistical significance in the prediction of successful vaginal labor induction (β = 0.23, p < 0.001, for a Bishop score of 4 and 5, and β = 0.22, p < 0.001, for previous vaginal delivery). Conclusion Higher Bishop scores and previous vaginal delivery were the best predictors of successful labor induction with vaginal 25-µg tablets of misoprostol.

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 10%
Researcher 1 10%
Unknown 8 80%
Readers by discipline Count As %
Nursing and Health Professions 1 10%
Medicine and Dentistry 1 10%
Unknown 8 80%