Murphy Niamh C, Burke Naomi, Dicker Patrick, Cody Fiona, Nafisee Sarah Al, Deleau Dylan, Kent Etaoin, Ramaiah Sunitha, Tully Elizabeth C, Malone Fergal D, Breathnach Fionnuala M
Obstetrics & Gynaecology, Royal College of Surgeons in Ireland, Dublin, Ireland.
Obstetrics & Gynaecology, Royal College of Surgeons in Ireland, Dublin, Ireland.
Eur J Obstet Gynecol Reprod Biol. 2020 Dec;255:13-19. doi: 10.1016/j.ejogrb.2020.09.035. Epub 2020 Sep 24.
The ability to predict the need for emergency Cesarean delivery holds the potential to facilitate birth choices. The objective of the RECIPE study (Reducing Emergency Cesarean delivery and Improving the Primiparous Experience) was to externally validate a Cesarean delivery risk prediction model. This model, developed by the Genesis study, identified five key predictive factors for emergency Cesarean delivery: maternal age, maternal height, BMI, fetal head circumference (HC) and fetal abdominal circumference (AC).
This prospective, observational study was conducted in two tertiary referral perinatal centers. Inclusion criteria were as follows: primiparous women with a singleton, cephalic presentation fetus in the absence of fetal growth restriction (FGR), oligohydramnios, pre-eclampsia, pre-existing diabetes mellitus or an indication for planned Cesarean delivery. Between 38 + 0 and 40 + 6 weeks' gestational age, participants attended for prenatal assessment that enabled the determination of an individualized risk calculation for emergency Cesarean delivery during labour based on maternal height, BMI, fetal HC and AC, with crucially both participants and care providers being blinded to the resultant risk prediction score. Labor, delivery and postnatal outcomes were ascertained. Calibration and receiver operator curves were generated to determine the predictive capacity for emergency Cesarean delivery of the Genesis risk prediction model in this cohort.
559 primiparous participants were enrolled from May 2017 to April 2019, of whom 142 (25 %) had an emergency Cesarean delivery during labour. Participants with a low predicted risk score (<10 %) had a mean predicted rate of 8% (+/- standard deviation of 2%) and a similarly low actual observed rate of Cesarean delivery (8%). Participants with a high predicted risk (>50 %) had a mean predicted Cesarean delivery rate of 64 % (+/- standard deviation of 9%) and also had a high actual observed Cesarean delivery rate (62 %). The calibration curve and receiver operating characteristic curve demonstrated that this validation study had comparable discriminatory power for emergency Cesarean delivery to that described in the original Genesis study. The Area Under the Curve (AUC) in Genesis was 0.69, whereas the AUC in RECIPE was 0.72, which reflects good predictive capacity of the risk prediction model.
The accuracy of the Genesis Cesarean delivery prediction tool is supported by this validation study.
预测紧急剖宫产需求的能力有望促进分娩选择。RECIPE研究(减少紧急剖宫产并改善初产妇体验)的目的是对外验证一个剖宫产风险预测模型。该模型由Genesis研究开发,确定了紧急剖宫产的五个关键预测因素:产妇年龄、产妇身高、体重指数、胎儿头围(HC)和胎儿腹围(AC)。
这项前瞻性观察性研究在两家三级转诊围产期中心进行。纳入标准如下:单胎头位初产妇,不存在胎儿生长受限(FGR)、羊水过少、先兆子痫、既往糖尿病或计划剖宫产指征。在孕38 + 0至40 + 6周期间,参与者接受产前评估,以便根据产妇身高、体重指数、胎儿头围和腹围确定分娩期间紧急剖宫产的个体化风险计算,关键的是参与者和医护人员均对最终的风险预测评分不知情。确定分娩过程及产后结局。生成校准曲线和受试者工作特征曲线,以确定该队列中Genesis风险预测模型对紧急剖宫产的预测能力。
2017年5月至2019年4月招募了559名单胎初产妇,其中142名(25%)在分娩期间接受了紧急剖宫产。预测风险评分低(<10%)的参与者平均预测剖宫产率为8%(±标准差2%),实际观察到的剖宫产率同样低(8%)。预测风险高(>50%)的参与者平均预测剖宫产率为64%(±标准差9%),实际观察到的剖宫产率也很高(62%)。校准曲线和受试者工作特征曲线表明,这项验证研究对紧急剖宫产的鉴别能力与原始Genesis研究中描述的相当。Genesis研究中的曲线下面积(AUC)为0.69,而RECIPE研究中的AUC为0.72,这反映了风险预测模型具有良好的预测能力。
这项验证研究支持了Genesis剖宫产预测工具的准确性。