Validation of the prediction model for success of vaginal birth after cesarean delivery at the university hospital in Barcelona

Impact of maternal weight on success of VBAC. Introduction: WorldwideCesarean section is the commonest obstetrical procedure to be performed and same situationis in Pakistan. One strategy is to offer vaginal birth after cesarean section to reduce the alarmingcesarean rate. Many factors have been Identified which can affect success of trial of labor.Maternal weight has an important relation with the reproductive health of women, as obesityduring pregnancy is associated with increased maternal and fetal risk. Maternal obesity hasbeen shown to be associated with increased rates of primary cesarean delivery and failed trialof vaginal birth after cesarean delivery. Objectives: To determine the effect of maternal weighton success of VBAC. Study Design: Cross sectional study. Period: May 2012 to October 2013.Setting: Liaquat university hospital, Hyderabad. Material and Methods: a total of 96 womenwhich fulfilled the selection criteria were included in the study. Results: The women included inthe study had a mean age of SD (range), 29.94+ 4.41 (20-40 years) successful vaginal birthswas observed in 57(59.4%) women and 39(40.6%) had an emergency repeat cesarean delivery.Body mass index was noted among all the women, 23(24.0%) were obese and 73 (76.0%)were non-obese. Out of 23(24.0), 7(30.4%) had successful VBAC and 16(69.6%) women hadsuccessful trial of labor and 23(31.5%) delivered by repeat Caesarean delivery. (P.0.002) P value= 0.001 is statistically significant and calculated by Fisher’s exact X2 test. Conclusions: Obesityis associated with decreased chances of successful VBAC, making it a risky option for obesewomen.

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Validation of prediction model for successful vaginal birth after Cesarean delivery based on sonographic assessment of hysterotomy scar

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.17439 ◽

2018 ◽

Vol 51 (2) ◽

pp. 189-193 ◽

Cited By ~ 6

Author(s):

A. Baranov ◽

K. Å. Salvesen ◽

O. Vikhareva

Keyword(s):

Prediction Model ◽

Cesarean Delivery ◽

Vaginal Birth ◽

Vaginal Birth After Cesarean ◽

Sonographic Assessment

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Development of a Modified Score System as Prediction Model for Successful Vaginal Birth After Cesarean Delivery

Clinical and Translational Science ◽

10.1111/cts.12603 ◽

2018 ◽

Vol 12 (1) ◽

pp. 53-57 ◽

Cited By ~ 1

Author(s):

Yan‐Ping Xing ◽

Xin‐Ying Qi ◽

Xue‐Zhen Wang ◽

Feng‐Zhen Yang

Keyword(s):

Prediction Model ◽

Cesarean Delivery ◽

Vaginal Birth ◽

Vaginal Birth After Cesarean ◽

Score System

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Validation of the Prediction Model for Success of Vaginal Birth After Cesarean Delivery

Obstetrics and Gynecology ◽

10.1097/aog.0b013e3181bb0dde ◽

2009 ◽

Vol 114 (5) ◽

pp. 1029-1033 ◽

Cited By ~ 45

Author(s):

Maged M. Costantine ◽

Karin Fox ◽

Benjamin D. Byers ◽

Julio Mateus ◽

Labib M. Ghulmiyyah ◽

...

Keyword(s):

Prediction Model ◽

Cesarean Delivery ◽

Vaginal Birth ◽

Vaginal Birth After Cesarean

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Validation of a Prediction Model for Vaginal Birth after Cesarean Delivery Reveals Unexpected Success in a Diverse American Population

American Journal of Perinatology Reports ◽

10.1055/s-0037-1599129 ◽

2017 ◽

Vol 07 (01) ◽

pp. e31-e38 ◽

Cited By ~ 13

Author(s):

Melanie Maykin ◽

Amanda Mularz ◽

Lydia Lee ◽

Stephanie Valderramos

Keyword(s):

Prediction Model ◽

Success Rate ◽

Cesarean Delivery ◽

Ethnically Diverse ◽

Vaginal Birth ◽

Success Rates ◽

Vaginal Birth After Cesarean ◽

Maternal Fetal Medicine ◽

Trial Of Labor ◽

Network Prediction

Objective To investigate the validity of a prediction model for success of vaginal birth after cesarean delivery (VBAC) in an ethnically diverse population. Methods We performed a retrospective cohort study of women admitted at a single academic institution for a trial of labor after cesarean from May 2007 to January 2015. Individual predicted success rates were calculated using the Maternal–Fetal Medicine Units Network prediction model. Participants were stratified into three probability-of-success groups: low (<35%), moderate (35–65%), and high (>65%). The actual versus predicted success rates were compared. Results In total, 568 women met inclusion criteria. Successful VBAC occurred in 402 (71%), compared with a predicted success rate of 66% (p = 0.016). Actual VBAC success rates were higher than predicted by the model in the low (57 vs. 29%; p < 0.001) and moderate (61 vs. 52%; p = 0.003) groups. In the high probability group, the observed and predicted VBAC rates were the same (79%). Conclusion When the predicted success rate was above 65%, the model was highly accurate. In contrast, for women with predicted success rates <35%, actual VBAC rates were nearly twofold higher in our population, suggesting that they should not be discouraged by a low prediction score.

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