TY - JOUR
T1 - External validation of vaginal birth after cesarean delivery calculator in Israeli cohort of parturients and construction of an improved model
AU - Haggiag, Noa
AU - Eitan, Shani
AU - Maor-Sagie, Esther
AU - Hallak, Mordechai
AU - Gabbay-Benziv, Rinat
N1 - Publisher Copyright:
© 2022 International Federation of Gynecology and Obstetrics.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Maternal-Fetal Medicine Unit's vaginal birth after cesarean delivery calculator
KW - cesarean delivery
KW - maternal diabetes
KW - trial of labor after cesarean delivery
KW - vaginal birth after cesarean delivery
UR - http://www.scopus.com/inward/record.url?scp=85138069306&partnerID=8YFLogxK
U2 - 10.1002/ijgo.14439
DO - 10.1002/ijgo.14439
M3 - Article
C2 - 36066199
AN - SCOPUS:85138069306
JO - International Journal of Gynecology and Obstetrics
JF - International Journal of Gynecology and Obstetrics
SN - 0020-7292
ER -