Induction of labor after one previous cesarean: Predictors of vaginal birth

IF 1.5 Q3 OBSTETRICS & GYNECOLOGY
Saniyati Badri Bashirudin, Siti Zawiah Omar, Farah Gan, Mukhri Hamdan, Peng Chiong Tan
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引用次数: 0

Abstract

Objective

To identify independent predictors for vaginal delivery after induction of labor after one cesarean (IOLAC).

Study design

In this retrospective cohort study, the electronic medical record of 19064 women who delivered from January 2018–September 2022 in a university hospital in Malaysia were individually searched to identify cases of IOLAC. Preselected data points on characteristics and the outcome of mode of delivery were retrieved. Bivariate analysis was performed to identify predictor characteristics for the dichotomous outcomes of vaginal delivery vs unplanned cesarean delivery. Variables with crude p < 0.05 were incorporated into a multivariable binary logistic regression analysis to identify independent predictors of vaginal delivery after IOLAC.

Results

819 IOLAC cases were identified. There were 465/819 (56.5 %) unplanned cesareans deliveries. Of the 14 selected characteristics, eight had p < 0.05 on bivariate analysis. After adjustment, six characteristics, body mass index, height, ethnicity, parity, previous cesarean indication and Bishop score were independently predictive of vaginal birth but not maternal age or method of labor induction. Birthweight, labor induction indication, gestational age, haemoglobin level, diabetes and hypertension in pregnancy were not significant at the level of bivariate analysis.

Conclusion

Obesity, short stature, no prior vaginal delivery, previous cesarean indicated by failure to progress, unfavorable Bishop score and ethnicity were independent predictors for unplanned cesarean after IOLAC. These predictors should help guide women and their care providers in their shared decision-making about IOLAC.

一次剖宫产后的引产:阴道分娩的预测因素
目的确定剖宫产术后阴道分娩的独立预测因素。研究设计在这项回顾性队列研究中,对2018年1月至2022年9月在马来西亚一所大学医院分娩的19064名女性的电子病历进行了单独搜索,以确定IOLAC病例。检索关于分娩方式的特征和结果的预选数据点。进行双变量分析,以确定阴道分娩与计划外剖宫产的二分结果的预测特征。粗p<;0.05纳入多变量二元逻辑回归分析,以确定IOLAC后阴道分娩的独立预测因素。结果共发现IOLAC 819例。计划外剖腹产465/819例(56.5%)。在所选择的14个特征中,8个具有p<;0.05。调整后,六个特征、体重指数、身高、种族、产次、既往剖宫产指征和Bishop评分独立预测阴道分娩,但不预测产妇年龄或引产方法。出生体重、引产指征、胎龄、血红蛋白水平、妊娠期糖尿病和高血压在双变量分析水平上不显著。结论肥胖、身材矮小、既往无阴道分娩、既往剖宫产失败、不良的Bishop评分和种族是IOLAC后计划外剖宫产的独立预测因素。这些预测因素应有助于指导妇女及其护理提供者共同决策IOLAC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
31
审稿时长
58 days
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