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.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3008589 | PMC |
http://dx.doi.org/10.1055/s-0029-1239494 | DOI Listing |
Background: Maternal morbidity and mortality in the United States are higher than peer countries. These adverse events disproportionally affect Black women.
Local Problem: Rates of maternal morbidity and mortality among Black childbearing women in West Louisville, Kentucky are higher than rates in Kentucky and the United States.
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynaecology, Adesh Institute of Medical Sciences and Research, Bathinda, Punjab, 151001, India.
Background: Placenta accreta spectrum (PAS) disorder is a fatal condition responsible for obstetric haemorrhage, which contributes to increased feto-maternal morbidity and mortality. The main contributing factor is a scarred uterus, often from a previous cesarean delivery, myomectomy, or uterine instrumentation. The occurrence of PAS in an unscarred uterus is extremely rare, with only anecdotal cases reported so far in the literature.
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