Citation
Grobman, William A.; Sandoval, Grecio J.; Rice, Madeline Murguia; Chauhan, Suneet P.; Clifton, Rebecca G.; Costantine, Maged M.; Gibson, Kelly S.; Metz, Torri D.; Parry, Samuel; & Reddy, Uma M., et al. (2023). Prediction of Vaginal Birth after Cesarean Using Information at Admission for Delivery: A Calculator Without Race or Ethnicity. American Journal of Obstetrics & Gynecology. PMCID: PMC10770466Abstract
Two models, derived from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units (MFMU) Network Cesarean Registry, were previously developed to estimate the chance of vaginal birth after cesarean delivery (VBAC) for those undertaking a trial of labor after cesarean delivery (TOLAC). One model used variables obtainable early in pregnancy, whereas the other model included variables that may not be known until admission for delivery.3 Both included the socially constructed variables of race and ethnicity, which may reify these factors as a biologic construct of race and ethnicity and perpetuate health disparities.4 With the same dataset, we developed a third model based on variables known early in pregnancy that excluded race and ethnicity, which was well calibrated and had a similar classification ability as the previous “early variable” model. Our objective here was to develop a prediction model for VBAC that did not include race or ethnicity but that added variables known at the end of pregnancyURL
http://dx.doi.org/10.1016/j.ajog.2023.02.008Reference Type
Journal ArticleYear Published
2023Journal Title
American Journal of Obstetrics & GynecologyAuthor(s)
Grobman, William A.Sandoval, Grecio J.
Rice, Madeline Murguia
Chauhan, Suneet P.
Clifton, Rebecca G.
Costantine, Maged M.
Gibson, Kelly S.
Metz, Torri D.
Parry, Samuel
Reddy, Uma M.
Rouse, Dwight J.
Saade, George R.
Simhan, Hyagriv N.
Thorp, John M., Jr.
Tita, Alan T. N.
Yee, Lynn M.
Longo, Monica
Landon, Mark B.