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用预测模型推动足月初产妇第二产程的极限。

Pushing the bounds of second stage in term nulliparas with a predictive model.

机构信息

Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Washington DC.

Alexandria Health, Boston, MA.

出版信息

Am J Obstet Gynecol MFM. 2019 Aug;1(3):100028. doi: 10.1016/j.ajogmf.2019.07.001. Epub 2019 Jul 20.

DOI:10.1016/j.ajogmf.2019.07.001
PMID:33345792
Abstract

BACKGROUND

Management of the second stage of labor continues to be a clinical challenge with unclear indications for abandoning attempts at spontaneous vaginal delivery. The conflict between diminishing chances of spontaneous vaginal delivery and increasing maternal and neonatal morbidity is difficult to quantify, leading to significant variation in management between providers, and variation in rates of operative vaginal delivery and cesarean birth.

OBJECTIVE

The objective of the study was to develop an hourly prediction model for spontaneous vaginal delivery during the second stage of labor in nulliparous women with epidural anesthesia.

STUDY DESIGN

This was a secondary analysis of the Consortium for Safe Labor database. The Consortium for Safe Labor collected data from 228,652 patients at 19 hospitals in the United State from 2002 through 2008. Primary outcome was delivery type per hour of second stage: spontaneous vaginal delivery vs operative delivery (operative vaginal and cesarean delivery). Inclusion criteria were term nulliparas with singleton gestations, vertex presentation, and attainment of 10 cm cervical dilation with epidural anesthesia. Exclusion criteria were intrauterine fetal demise, planned cesarean delivery, and major congenital anomalies. An optimal decision tree was used to create a prediction model. A test set was withheld from the data set to perform validation. A risk calculator tool was developed for prediction of spontaneous vaginal birth as well as adverse perinatal outcomes per hour. Adverse maternal outcomes were a composite of postpartum hemorrhage, transfusion, endometritis and third-/fourth-degree laceration. Adverse neonatal outcomes were a composite of neonatal intensive care unit admission, hypoxic ischemic encephalopathy, respiratory distress, seizures, apnea, asphyxia, and shoulder dystocia.

RESULTS

The study population included 228,438 deliveries; 26,796 patients met inclusion and exclusion criteria. After removing cases with incomplete data, the study population consisted of 22,299 women, of which 16,593 women had a spontaneous vaginal delivery (74.4%). The number of deliveries at a given hospital per year, fetal position, cervical dilation on admission, chorioamnionitis, augmentation of labor, maternal age, and length of second stage were associated with the odds of spontaneous vaginal delivery. Using the predictors identified, a risk predictor calculator was created, taking into consideration the length of time in the second stage. A receiver-operator characteristic curve was developed to assess the calculator; area under the curve was 0.73. This calculator is available at https://www.pushprescriber.com/.

CONCLUSION

Spontaneous vaginal delivery for women with term, cephalic, singleton gestations with epidural anesthesia was associated with several variables. This calculator tool helps facilitate provider decision making and patient counseling about the value of continuing the second stage of labor based on changing rates of success and risks of maternal and neonatal morbidity with time.

摘要

背景

第二产程的管理仍然是一个临床挑战,对于放弃自然分娩的尝试,其适应证并不明确。在自然分娩机会减少和母婴发病率增加之间存在冲突,这很难量化,导致提供者之间的管理存在显著差异,以及经阴道分娩和剖宫产的比例存在差异。

目的

本研究旨在为硬膜外麻醉下的初产妇第二产程建立一个每小时自然分娩的预测模型。

研究设计

这是对安全分娩联盟数据库的二次分析。安全分娩联盟从 2002 年至 2008 年从美国 19 家医院的 228652 名患者中收集数据。主要结局为每小时第二产程的分娩方式:自然分娩与经阴道分娩(经阴道分娩和剖宫产)。纳入标准为足月初产妇,单胎妊娠,头位,硬膜外麻醉下宫颈扩张 10cm。排除标准为宫内胎儿死亡、计划剖宫产和主要先天性异常。使用最优决策树来创建预测模型。从数据集保留一个测试集以进行验证。还开发了一个风险计算器工具,用于预测每小时自然分娩和不良围产结局的可能性。不良母体结局为产后出血、输血、子宫内膜炎和三度/四度裂伤的综合表现。不良新生儿结局为新生儿重症监护病房入院、缺氧缺血性脑病、呼吸窘迫、癫痫发作、呼吸暂停、窒息和肩难产的综合表现。

结果

研究人群包括 228438 例分娩;26796 例患者符合纳入和排除标准。在去除数据不完整的病例后,研究人群包括 22299 名妇女,其中 16593 名妇女自然分娩(74.4%)。每年在某家医院的分娩数量、胎儿位置、入院时的宫颈扩张程度、绒毛膜羊膜炎、引产、产妇年龄和第二产程的长短与自然分娩的几率相关。使用确定的预测因子,创建了一个风险预测计算器,考虑了第二产程的时间。开发了一个接收者操作特征曲线来评估计算器;曲线下面积为 0.73。该计算器可在 https://www.pushprescriber.com/ 上获得。

结论

对于硬膜外麻醉下的足月、头位、单胎妊娠的妇女,自然分娩与几个变量相关。该计算器工具有助于促进提供者的决策,并根据成功率的变化和母婴发病率的风险,为继续第二产程提供患者咨询,而时间是这些风险的重要影响因素。

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