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External validation of vaginal birth after cesarean delivery calculator in Israeli cohort of parturients and construction of an improved model.
Haggiag, Noa; Eitan, Shani; Maor-Sagie, Esther; Hallak, Mordechai; Gabbay-Benziv, Rinat.
Afiliación
  • Haggiag N; Hillel Yaffe Medical Center, Hadera, Israel.
  • Eitan S; Hillel Yaffe Medical Center, Hadera, Israel.
  • Maor-Sagie E; Hillel Yaffe Medical Center, Hadera, Israel.
  • Hallak M; Hillel Yaffe Medical Center, Hadera, Israel.
  • Gabbay-Benziv R; The Rappaport Faculty of Medicine Technion, Haifa, Israel.
Int J Gynaecol Obstet ; 161(1): 182-189, 2023 Apr.
Article en En | MEDLINE | ID: mdl-36066199
ABSTRACT

OBJECTIVE:

To validate the Maternal Fetal Medicine Unit's (MFMU) vaginal birth after cesarean delivery (VBAC) calculator in an Israeli cohort, and to detect other variables associated with VBAC and construct an improved VBAC calculator.

METHODS:

A retrospective cohort study was performed at a single university-affiliated medical center. Women carrying a singleton, term, cephalic-presenting fetus, with previous one low transverse cesarean delivery who opted for trial of VBAC were included. Demographic and obstetric characteristics were incorporated into the MFMU's calculator, to predict probabilities of VBAC and compare prediction performance with the original publication utilizing receiver operating characteristic (ROC) statistics. Logistic regression analysis was used to investigate other variables and construct an improved model for success of VBAC.

RESULTS:

Of 490 parturients, 396 (80.8%) had a successful vaginal delivery. Compared to the original publication, the MFMU's calculator underperformed area under the ROC curve (AUC) was 0.709 (95% confidence interval [CI] 0.652-0.766, P < 0.001). Sensitivity, specificity, positive and negative predictive values, and overall accuracy were 67.42%, 65.96%, 89.30%, 32.46%, and 32.46%, respectively. An improved model that included previous VBAC, prior vaginal delivery, spontaneous onset of delivery, and maternal diabetes resulted in improved prediction performance with an AUC of 0.771 (95% CI 0.723-0.82, P < 0.001).

CONCLUSION:

MFMU's VBAC calculator needs to be validated in different populations before implementation.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Parto Vaginal Después de Cesárea Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: Int J Gynaecol Obstet Año: 2023 Tipo del documento: Article País de afiliación: Israel

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Parto Vaginal Después de Cesárea Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: Int J Gynaecol Obstet Año: 2023 Tipo del documento: Article País de afiliación: Israel