Papageorghiou A T, Kemp B, Stones W, Ohuma E O, Kennedy S H, Purwar M, Salomon L J, Altman D G, Noble J A, Bertino E, Gravett M G, Pang R, Cheikh Ismail L, Barros F C, Lambert A, Jaffer Y A, Victora C G, Bhutta Z A, Villar J
Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya.
Ultrasound Obstet Gynecol. 2016 Dec;48(6):719-726. doi: 10.1002/uog.15894.
Accurate gestational-age (GA) estimation, preferably by ultrasound measurement of fetal crown-rump length before 14 weeks' gestation, is an important component of high-quality antenatal care. The objective of this study was to determine how GA can best be estimated by fetal ultrasound for women who present for the first time late in pregnancy with uncertain or unknown menstrual dates.
INTERGROWTH-21 was a large, prospective, multicenter, population-based project performed in eight geographically defined urban populations. One of its principal components, the Fetal Growth Longitudinal Study, aimed to develop international fetal growth standards. Each participant had their certain menstrual dates confirmed by first-trimester ultrasound examination. Fetal head circumference (HC), biparietal diameter (BPD), occipitofrontal diameter (OFD), abdominal circumference (AC) and femur length (FL) were measured every 5 weeks from 14 weeks' gestation until delivery. For each participant, a single, randomly selected ultrasound examination was used to explore all candidate biometric variables and permutations to build models to predict GA. Regression equations were ranked based upon minimization of the mean prediction error, goodness of fit and model complexity. An automated machine learning algorithm, the Genetic Algorithm, was adapted to evaluate > 64 000 potential polynomial equations as predictors.
Of the 4607 eligible women, 4321 (94%) had a pregnancy without major complications and delivered a live singleton without congenital malformations. After other exclusions (missing measurements in GA window and outliers), the final sample comprised 4229 women. Two skeletal measures, HC and FL, produced the best GA prediction, given by the equation log (GA) = 0.03243 × (log (HC)) + 0.001644 × FL × log (HC) + 3.813. When FL was not available, the best equation based on HC alone was log (GA) = 0.05970 × (log (HC)) + 0.000000006409 × (HC) + 3.3258. The estimated uncertainty of GA prediction (half width 95% interval) was 6-7 days at 14 weeks' gestation, 12-14 days at 26 weeks' gestation and > 14 days in the third trimester. The addition of FL to the HC model led to improved prediction intervals compared with using HC alone, but no further improvement in prediction was afforded by adding AC, BPD or OFD. Equations that included other measurements (BPD, OFD and AC) did not perform better.
Among women initiating antenatal care late in pregnancy, a single set of ultrasound measurements combining HC and FL in the second trimester can be used to estimate GA with reasonable accuracy. We recommend this tool for underserved populations but considerable efforts should be implemented to improve early initiation of antenatal care worldwide. © 2016 Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
准确估计孕周(GA)是高质量产前保健的重要组成部分,最好在妊娠14周前通过超声测量胎儿头臀长来实现。本研究的目的是确定对于首次在妊娠晚期就诊且月经日期不确定或未知的女性,如何通过胎儿超声最佳地估计孕周。
INTERGROWTH - 21是一项大型、前瞻性、多中心、基于人群的项目,在八个地理区域明确的城市人群中开展。其主要组成部分之一,即胎儿生长纵向研究,旨在制定国际胎儿生长标准。每位参与者通过孕早期超声检查确认其确切月经日期。从妊娠14周直至分娩,每5周测量一次胎儿头围(HC)、双顶径(BPD)、枕额径(OFD)、腹围(AC)和股骨长度(FL)。对于每位参与者,使用一次随机选择的超声检查来探索所有候选生物测量变量及其组合,以建立预测孕周的模型。根据平均预测误差最小化、拟合优度和模型复杂性对回归方程进行排序。采用一种自动机器学习算法——遗传算法,评估超过64000个潜在的多项式方程作为预测指标。
在4607名符合条件的女性中,4321名(94%)妊娠无重大并发症,分娩出无先天性畸形的单胎活婴。经过其他排除(孕周窗口测量缺失和异常值)后,最终样本包括4229名女性。两项骨骼测量指标,即HC和FL,产生了最佳的孕周预测结果,由方程log(GA)=0.03243×(log(HC)) + 0.001644×FL×log(HC)+3.813给出。当无法获得FL时,仅基于HC的最佳方程为log(GA)=0.05970×(log(HC)) + 0.000000006409×(HC)+3.3258。孕周预测的估计不确定性(95%区间半宽)在妊娠14周时为6 - 7天,26周时为12 - 14天,孕晚期超过14天。与仅使用HC相比,在HC模型中加入FL可改善预测区间,但加入AC、BPD或OFD并未进一步提高预测效果。包含其他测量指标(BPD、OFD和AC)的方程表现并不更好。
对于妊娠晚期开始产前检查的女性,孕中期结合HC和FL的单次超声测量可用于以合理的准确性估计孕周。我们建议将此工具用于服务不足的人群,但应付出巨大努力以改善全球产前检查的早期启动。© 2016作者。《超声妇产科》由John Wiley & Sons Ltd代表国际妇产科超声学会出版。