TY - JOUR
T1 - Prediction of vaginal birth after cesarean delivery
AU - Bhide, Amarnath
AU - Caric, Vedrana
AU - Arulkumaran, Sabaratnam
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Objective To examine factors associated with successful vaginal birth after cesarean (VBAC) and to validate a previously established prediction model. Methods In a retrospective study, data were obtained for women with one prior low-transverse cesarean procedure who underwent a trial of labor with a cephalic singleton pregnancy at term at one UK hospital between January 2000 and August 2013. Univariate analysis and logistic regression analysis were used to identify maternal demographic characteristics significantly associated with successful VBAC and factors independently associated with this outcome, respectively. A prediction model was built, and predicted probabilities were compared with observed frequencies. For validation, probabilities were also calculated by a previous prediction model. Results Overall, 1463 women formed the cohort. Successful vaginal delivery was achieved in 1050 (71.8%) women. The only factors significantly associated with unsuccessful VBAC were Asian (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.14-2.23) or African (OR 1.80, 95% CI 1.23-2.64) ethnic origin, and previous cesarean for failure to progress (OR 6.39, 95% CI 4.81-8.49). The predicted and observed probability of successful VBAC were well correlated (Spearman ρ, 0.905; P = 0.002). The established prediction model was less accurate. Conclusion Previous cesarean performed for failure to progress and Asian/African ethnic origin were associated with unsuccessful VBAC. The performance of a previous prediction model was inferior.
AB - Objective To examine factors associated with successful vaginal birth after cesarean (VBAC) and to validate a previously established prediction model. Methods In a retrospective study, data were obtained for women with one prior low-transverse cesarean procedure who underwent a trial of labor with a cephalic singleton pregnancy at term at one UK hospital between January 2000 and August 2013. Univariate analysis and logistic regression analysis were used to identify maternal demographic characteristics significantly associated with successful VBAC and factors independently associated with this outcome, respectively. A prediction model was built, and predicted probabilities were compared with observed frequencies. For validation, probabilities were also calculated by a previous prediction model. Results Overall, 1463 women formed the cohort. Successful vaginal delivery was achieved in 1050 (71.8%) women. The only factors significantly associated with unsuccessful VBAC were Asian (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.14-2.23) or African (OR 1.80, 95% CI 1.23-2.64) ethnic origin, and previous cesarean for failure to progress (OR 6.39, 95% CI 4.81-8.49). The predicted and observed probability of successful VBAC were well correlated (Spearman ρ, 0.905; P = 0.002). The established prediction model was less accurate. Conclusion Previous cesarean performed for failure to progress and Asian/African ethnic origin were associated with unsuccessful VBAC. The performance of a previous prediction model was inferior.
KW - Cesarean
KW - Delivery
KW - Labor
KW - Vaginal birth after cesarean
UR - http://www.scopus.com/inward/record.url?scp=84959557603&partnerID=8YFLogxK
U2 - 10.1016/j.ijgo.2015.09.031
DO - 10.1016/j.ijgo.2015.09.031
M3 - Article
C2 - 26952353
AN - SCOPUS:84959557603
SN - 0020-7292
VL - 133
SP - 297
EP - 300
JO - International Journal of Gynecology and Obstetrics
JF - International Journal of Gynecology and Obstetrics
IS - 3
ER -