Does information available at admission for delivery improve prediction of vaginal birth after cesarean?

William A. Grobman; Yinglei Lai; Mark B. Landon; Catherine Y. Spong; Kenneth J. Leveno; Dwight J. Rouse; Michael W. Varner; Atef H. Moawad; Hyagriv N. Simhan; Margaret Harper; Ronald J. Wapner; Yoram Sorokin; Menachem Miodovnik; Marshall Carpenter; Mary J. OSullivan; Baha M. Sibai; Oded Langer; John M. Thorp; Susan M. Ramin; Brian M. Mercer

doi:10.1055/s-0029-1239494

Does information available at admission for delivery improve prediction of vaginal birth after cesarean?

William A. Grobman, Yinglei Lai, Mark B. Landon, Catherine Y. Spong, Kenneth J. Leveno, Dwight J. Rouse, Michael W. Varner, Atef H. Moawad, Hyagriv N. Simhan, Margaret Harper, Ronald J. Wapner, Yoram Sorokin, Menachem Miodovnik, Marshall Carpenter, Mary J. OSullivan, Baha M. Sibai, Oded Langer, John M. Thorp, Susan M. Ramin, Brian M. Mercer

Research output: Contribution to journal › Article › peer-review

98 Scopus citations

Abstract

We sought to construct a predictive model for vaginal birth after cesarean (VBAC) that combines factors that can be ascertained only as the pregnancy progresses with those known at initiation of prenatal care. Using multivariable modeling, we constructed a predictive model for VBAC that included patient factors known at the initial prenatal visit as well as those that only become evident as the pregnancy progresses to the admission for delivery. We analyzed 9616 women. The regression equation for VBAC success included multiple factors that could not be known at the first prenatal visit. The area under the curve for this model was significantly greater (p<0.001) than that of a model that included only factors available at the first prenatal visit. A prediction model for VBAC success, which incorporates factors that can be ascertained only as the pregnancy progresses, adds to the predictive accuracy of a model that uses only factors available at a first prenatal visit.

Original language	English (US)
Pages (from-to)	693-701
Number of pages	9
Journal	American Journal of Perinatology
Volume	26
Issue number	10
DOIs	https://doi.org/10.1055/s-0029-1239494
State	Published - 2009

Keywords

Prediction
Trial of labor
Vaginal birth after cesarean

ASJC Scopus subject areas

Pediatrics, Perinatology, and Child Health
Obstetrics and Gynecology

Access to Document

10.1055/s-0029-1239494

Cite this

Grobman, W. A., Lai, Y., Landon, M. B., Spong, C. Y., Leveno, K. J., Rouse, D. J., Varner, M. W., Moawad, A. H., Simhan, H. N., Harper, M., Wapner, R. J., Sorokin, Y., Miodovnik, M., Carpenter, M., OSullivan, M. J., Sibai, B. M., Langer, O., Thorp, J. M., Ramin, S. M., & Mercer, B. M. (2009). Does information available at admission for delivery improve prediction of vaginal birth after cesarean? American Journal of Perinatology, 26(10), 693-701. https://doi.org/10.1055/s-0029-1239494

Grobman, WA, Lai, Y, Landon, MB, Spong, CY, Leveno, KJ, Rouse, DJ, Varner, MW, Moawad, AH, Simhan, HN, Harper, M, Wapner, RJ, Sorokin, Y, Miodovnik, M, Carpenter, M, OSullivan, MJ, Sibai, BM, Langer, O, Thorp, JM, Ramin, SM & Mercer, BM 2009, 'Does information available at admission for delivery improve prediction of vaginal birth after cesarean?', American Journal of Perinatology, vol. 26, no. 10, pp. 693-701. https://doi.org/10.1055/s-0029-1239494

@article{628dc830cae940ac99daec8517214bb9,

title = "Does information available at admission for delivery improve prediction of vaginal birth after cesarean?",

abstract = "We sought to construct a predictive model for vaginal birth after cesarean (VBAC) that combines factors that can be ascertained only as the pregnancy progresses with those known at initiation of prenatal care. Using multivariable modeling, we constructed a predictive model for VBAC that included patient factors known at the initial prenatal visit as well as those that only become evident as the pregnancy progresses to the admission for delivery. We analyzed 9616 women. The regression equation for VBAC success included multiple factors that could not be known at the first prenatal visit. The area under the curve for this model was significantly greater (p<0.001) than that of a model that included only factors available at the first prenatal visit. A prediction model for VBAC success, which incorporates factors that can be ascertained only as the pregnancy progresses, adds to the predictive accuracy of a model that uses only factors available at a first prenatal visit.",

keywords = "Prediction, Trial of labor, Vaginal birth after cesarean",

author = "Grobman, {William A.} and Yinglei Lai and Landon, {Mark B.} and Spong, {Catherine Y.} and Leveno, {Kenneth J.} and Rouse, {Dwight J.} and Varner, {Michael W.} and Moawad, {Atef H.} and Simhan, {Hyagriv N.} and Margaret Harper and Wapner, {Ronald J.} and Yoram Sorokin and Menachem Miodovnik and Marshall Carpenter and OSullivan, {Mary J.} and Sibai, {Baha M.} and Oded Langer and Thorp, {John M.} and Ramin, {Susan M.} and Mercer, {Brian M.}",

year = "2009",

doi = "10.1055/s-0029-1239494",

language = "English (US)",

volume = "26",

pages = "693--701",

journal = "American Journal of Perinatology",

issn = "0735-1631",