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Validation of a Vaginal Birth after Cesarean Delivery Prediction Model in Teaching Hospitals of Addis Ababa University: A Cross-Sectional Study.
Misgan, Eyaya; Gedefaw, Abel; Negash, Shiferaw; Asefa, Anteneh.
Afiliação
  • Misgan E; Department of Gynecology and Obstetrics, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
  • Gedefaw A; Department of Gynecology and Obstetrics, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
  • Negash S; Department of Gynecology and Obstetrics, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Asefa A; School of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Biomed Res Int ; 2020: 1540460, 2020.
Article em En | MEDLINE | ID: mdl-33015154
BACKGROUND: External validation of a vaginal birth after cesarean delivery (VBAC) prediction model is important before implementation in other settings. The primary aim of this study is to validate the Grobman prenatal VBAC calculator in the Ethiopian setting. Secondarily, the study was aimed at developing and comparing a new VBAC model that includes both the prenatal and intrapartum variables. METHODS: A cross-sectional survey was conducted, complemented by a medical chart review of 268 women admitted at three teaching hospitals of Addis Ababa University and who underwent a trial of labor after one prior cesarean birth. Maternal age, prepregnancy BMI, prior vaginal delivery, prior VBAC, and prior cesarean delivery indication type were included in the Grobman model. Observed delivery outcomes were recorded and then compared with the outcomes predicted by the calculator. We assessed the predictive abilities of the Grobman model and the new model using a receiver operating characteristic (ROC) curve. Multivariate logistic regression analysis was conducted to identify variables associated with successful VBAC. RESULTS: Out of the 268 participants, 186 (69.4%) (95% CI 57.5-81.3) had successful VBAC. The area under the ROC curve (AUC) of the Grobman model was 0.75 (95% CI 0.69-0.81). Notably, the novel model including both the prenatal and intrapartum variables had a better predictive value than the original model, with an AUC of 0.87 (95% CI 0.81-0.93). Prior VBAC, prepregnancy BMI, fetal membrane status, and fetal station at admission were predictors of VBAC in the newly developed logistic regression model. CONCLUSIONS: The success rate of VBAC was similar to other sub-Saharan African countries. The Grobman model performed adequately in the study setting; however, the model including both the prenatal and intrapartum variables was more predictive. Thus, intrapartum predictors used in the new model should be considered during intrapartum counseling.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nascimento Vaginal Após Cesárea Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy País/Região como assunto: Africa Idioma: En Revista: Biomed Res Int Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Etiópia País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nascimento Vaginal Após Cesárea Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Pregnancy País/Região como assunto: Africa Idioma: En Revista: Biomed Res Int Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Etiópia País de publicação: Estados Unidos