Choose your font:
 Arimo
 Merriweather
 Mukta Malar
 Open Sans Condensed
 Rokkitt
 Source Sans Pro
 Login


 English 
 Français 
 Português 
 Español 

[Valid RSS] RSS
bar

Database - (CIANE)

Description of this bibliographical database (CIANE website)
Currently 3111 records
YouTube channel (tutorial)

https://ciane.net/id=2815

Created on : 26 Nov 2017
Modified on : 26 Nov 2017

 Modify this record
Do not follow this link unless you know an editor’s password!


Share: Facebook logo   Tweeter logo   Hard

Bibliographical entry (without author) :

Factors predicting successful labor induction with dinoprostone and misoprostol vaginal inserts - Obstetrics and Gynecology - Vol. 114, 2 - p.261-267

Author(s) :

Pevzner, L.; Rayburn, W.F.; Rumney, P.; Wing, D.A.

Year of publication :

2009

URL(s) :

https://www.scopus.com/inward/record.uri?eid=2-s2.…
https://doi.org/10.1097/AOG.0b013e3181ad9377

Résumé (français)  :

Abstract (English)  :

To evaluate the maternal and pregnancy characteristics that independently predict successful induction of labor, defined as vaginal delivery. The study was a secondary analysis of the data collected during the Misoprostol Vaginal Insert Trial, a multisite, double-blind, randomized trial of women requiring cervical ripening before induction of labor. The primary outcome was to estimate the maternal and pregnancy characteristics that independently predict successful induction of labor. Univariable and multiple regression analyses were performed for maternal and pregnancy-related factors that potentially could predict a successful induction of labor. A total of 1,274 patients had sufficient labor and delivery data for a comparative analysis. Nine hundred sixteen (72%) induced patients subsequently had vaginal deliveries. Multiparity (odds ratio [OR] 4.63, 95% confidence interval [CI] 3.39-6.32, P<.001), maternal body mass index (BMI) less than 30 (OR 1.69, 95% CI 1.32-2.22, P<.001) and height greater than 5’5” (OR 1.47, 95% CI 1.15-1.9, P=.002), baseline modified Bishop score of 4 (OR 2.15, 95% CI 1.12-4.20, P=.047), and birth weight below 4,000 g (OR 2.17, 95% CI 1.51-3.13, P<.001) were significant for predicting successful induction of labor. Logistic regression analysis was performed to evaluate each factor as an independent predictor. In addition to the above-mentioned factors, maternal age younger than 35 years (OR 1.81, 95% CI 1.15-2.86, P=.01) and Hispanic race (OR 1.45, 95% CI 1.02-2.05, P=.036) each proved to significantly favor a successful induction. Conversely, African-American race was correlated with a higher incidence of cesarean delivery (OR 1.47, 95% CI 1.02-2.13, P<.001). Maternal characteristics such as BMI, parity, age, and race and neonatal birth weight are important variables to consider when predicting a successful induction of labor. The nearly 30% rate of cesarean delivery in this study underscores the importance of selecting appropriate candidates. II. © 2009 Lippincott Williams & Wilkins, Inc.

Sumário (português)  :

Resumen (español)  :

Comments :

Argument (français) :

Argument (English):

Argumento (português):

Argumento (español):

Keywords :

➡ induction of labor ; misoprostol (Cytotec)

Author of this record :

Import 26/11/2017 — 26 Nov 2017

Discussion (display only in English)
 
➡ Only identified users



 I have read the guidelines of discussions and I accept all terms (read guidelines)

barre

New expert query --- New simple query

Creating new record --- Importing records

User management --- Dump database --- Contact

bar

This database created by Alliance francophone pour l'accouchement respecté (AFAR) is managed
by Collectif interassociatif autour de la naissance (CIANE, https://ciane.net).
It is fed by the voluntary contributions of persons interested in the sharing of scientific data.
If you agree with this project, you can support us in several ways:
(1) contributing to this database if you have a minimum training in documentation
(2) or financially supporting CIANE (see below)
(3) or joining any society affiliated with CIANE.
Sign in or create an account to follow changes or become an editor.
Contact bibli(arobase)ciane.net for more information.

Valid CSS! Valid HTML!
Donating to CIANE (click “Faire un don”) will help us to maintain and develop sites and public
databases towards the support of parents and caregivers’ informed decisions with respect to childbirth