Kamlungkuea Threebhorn, Manonai Jittima, Suriyawongpaisal Paibul, Hansahiranwadee Wirada
Department of Obstetrics and Gynaecology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Int J Womens Health. 2022 Feb 19;14:245-255. doi: 10.2147/IJWH.S347878. eCollection 2022.
This study was proposed to evaluate factors predicting a successful vaginal delivery following labor induction and develop induction prediction model in term pregnancy among Thai pregnant women.
We conducted a retrospective cohort study using electronic medical records of 23,833 deliveries from April 2010 to July 2021 at tertiary care university hospital in Bangkok, Thailand. Univariate regression was performed to identify the association of individual parameters to successful vaginal delivery. Multiple logistic regression analysis of all possible variables from univariate analysis was performed to develop a prediction model with statistically significant of p value <0.05.
Of the total 809 labor-induced pregnancies, the vaginal delivery rate was 56.6%. Among predicting variables, history of previous vaginal delivery (aOR 5.75, 95% CI 3.701-8.961), maternal delivery BMI <25 kg/m (aOR 2.010, 95% CI 1.303-3.286), estimated fetal weight <3500 g (aOR 2.193, 95% CI 1.246-3.860), and gestational age ≤39 weeks (aOR 1.501, 95% CI 1.038-2.173) significantly increased the probability of a successful vaginal delivery following labor induction. The final prediction model has been internally validated. Model calibration and discrimination were satisfactory with Hosmer-Lemeshow test P = 0.21 and with AUC of 0.756 (95% CI 0.695-0.816).
This study determined the pragmatic predictors for successful vaginal delivery following labor induction comprised history of previous vaginal delivery, maternal delivery BMI <25 kg/m, estimated fetal weight <3500 g, and gestational age ≤39 weeks. The final induction prediction model was well-performing internally validated prediction model to estimate individual probability when undergoing induction of labor. Despite restricted population, the predicting factors and model could be useful for further prospective study and clinical practice to improve induction outcomes.
本研究旨在评估足月泰国孕妇引产成功的预测因素,并建立引产预测模型。
我们进行了一项回顾性队列研究,使用了泰国曼谷一家三级护理大学医院2010年4月至2021年7月期间23,833例分娩的电子病历。进行单因素回归分析以确定各个参数与引产成功阴道分娩之间的关联。对单因素分析中所有可能的变量进行多因素逻辑回归分析,以建立p值<0.05具有统计学意义的预测模型。
在总共809例引产妊娠中,阴道分娩率为56.6%。在预测变量中,既往阴道分娩史(调整后比值比5.75,95%置信区间3.701 - 8.961)、产妇分娩时体重指数<25 kg/m²(调整后比值比2.010,95%置信区间1.303 - 3.286)、估计胎儿体重<3500 g(调整后比值比2.193,95%置信区间1.246 - 3.860)以及孕周≤39周(调整后比值比1.501,95%置信区间1.038 - 2.173)显著增加了引产成功阴道分娩的概率。最终的预测模型已进行内部验证。模型校准和区分度令人满意,Hosmer-Lemeshow检验P = 0.21,曲线下面积为0.756(95%置信区间0.695 - 0.816)。
本研究确定了引产成功阴道分娩的实用预测因素,包括既往阴道分娩史、产妇分娩时体重指数<25 kg/m²、估计胎儿体重<3500 g以及孕周≤39周。最终的引产预测模型是一个性能良好的内部验证预测模型,可用于估计引产时的个体概率。尽管研究人群有限,但这些预测因素和模型可能对进一步的前瞻性研究和临床实践有用,以改善引产结局。