Base de datos - (CIANE) | |
Presentación de esta base de datos documental (Sitio web de CIANE) |
https://ciane.net/id=2815 | ➡ Editar este registro |
Ficha bibliográfica (sin autores) : | Factors predicting successful labor induction with dinoprostone and misoprostol vaginal inserts - Obstetrics and Gynecology - Vol. 114, 2 - p.261-267 |
Autores : | Pevzner, L.; Rayburn, W.F.; Rumney, P.; Wing, D.A. |
Año de publicación : | 2009 |
URL(s) : | https://www.scopus.com/inward/record.uri?eid=2-s2.… |
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) : | |
Comentarios : | |
Argument (français) : |
|
Argument (English): |
|
Argumento (português): |
|
Argumento (español): | |
Palabras claves : | |
Autor de este registro : | Import 26/11/2017 — 26 Nov 2017 |
Debate (mostrar sólo español) | ||
---|---|---|
[Ocultar la póliza] ➡ Carta de debate 1) Los comentarios pretenden aclarar el contenido del artículo o proporcionar enlaces a información adicional sobre el tema 2) Los comentarios son públicos y las opiniones expresadas son responsabilidad exclusiva del autor 3) Evite cualquier anécdota o relato personal 4) Los comentarios que se salgan del tema o contengan un lenguaje inaceptable serán eliminados sin previo aviso |
Realizar otra consulta de expertos --- Realice otra consulta sencilla
Creación de un registro --- Importación de registros
Gestión de usuarios --- Salvaguardar la base de datos --- Contacto
Esta base de datos creada por la Alliance francophone pour l'accouchement respecté (AFAR) está gestionada
por el Collectif interassociatif autour de la naissance (CIANE, https://ciane.net).
Se nutre de las contribuciones de voluntarios interesados en compartir información científica.
Si está de acuerdo con este proyecto, puede ayudarnos de varias maneras:
(1) convertirse en colaborador de esta base de datos, si tiene alguna experiencia en documentación
(2) ou apoio financeiro CIANE (veja abaixo)
(3) o hacerse miembro de otra asociación afiliada al CIANE.
➡ Inicie sesión o cree una cuenta para seguir los cambios o convertirse en editor.
➡ Contacta con bibli(arobase)ciane.net para más información.
Donar a CIANE (haga clic en 'Faire un don') nos ayudará a mantener y desarrollar sitios y bases de datos públicas para apoyar las decisiones informadas de los progenitores y profesionales de la salud con respecto al parto |