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

Authors :
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
O'Sullivan MJ
Sibai BM
Langer O
Thorp JM
Ramin SM
Mercer BM
Source :
American journal of perinatology [Am J Perinatol] 2009 Nov; Vol. 26 (10), pp. 693-701. Date of Electronic Publication: 2009 Oct 07.
Publication Year :
2009

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.<br /> ((c) Thieme Medical Publishers.)

Details

Language :
English
ISSN :
1098-8785
Volume :
26
Issue :
10
Database :
MEDLINE
Journal :
American journal of perinatology
Publication Type :
Academic Journal
Accession number :
19813165
Full Text :
https://doi.org/10.1055/s-0029-1239494