Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, The Ohio State University, Columbus, OH, USA.
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Medical University of South Carolina, Charleston, SC, USA.
Ultrasound Obstet Gynecol. 2022 Dec;60(6):751-758. doi: 10.1002/uog.26071.
To compare the ability of three fetal growth charts (Fetal Medicine Foundation (FMF), Hadlock and National Institutes of Child Health and Human Development (NICHD) race/ethnicity-specific) to predict large-for-gestational age (LGA) at birth in pregnant individuals with pregestational diabetes, and to determine whether inclusion of hemoglobin A1c (HbA1c) level improves the predictive performance of the growth charts.
This was a retrospective analysis of individuals with Type-1 or Type-2 diabetes with a singleton pregnancy that resulted in a non-anomalous live birth. Fetal biometry was performed between 28 + 0 and 36 + 6 weeks of gestation. The primary exposure was suspected LGA, defined as estimated fetal weight ≥ 90 percentile using the Hadlock (Formula C), FMF and NICHD growth charts. The primary outcome was LGA at birth, defined as birth weight ≥ 90 percentile, using 2017 USA natality reference data. The performance of the three growth charts to predict LGA at birth, alone and in combination with HbA1c as a continuous measure, was assessed using the area under the receiver-operating-characteristics curve (AUC), sensitivity, specificity, positive predictive value and negative predictive value.
Of 358 assessed pregnant individuals with pregestational diabetes (34% with Type 1 and 66% with Type 2), 147 (41%) had a LGA infant at birth. Suspected LGA was identified in 123 (34.4%) by the Hadlock, 152 (42.5%) by the FMF and 152 (42.5%) by the NICHD growth chart. The FMF growth chart had the highest sensitivity (77% vs 69% (NICHD) vs 63% (Hadlock)) and the Hadlock growth chart had the highest specificity (86% vs 76% (NICHD) and 82% (FMF)) for predicting LGA at birth. The FMF growth chart had a significantly higher AUC (0.79 (95% CI, 0.74-0.84)) for LGA at birth compared with the NICHD (AUC, 0.72 (95% CI, 0.68-0.77); P < 0.001) and Hadlock (AUC, 0.75 (95% CI, 0.70-0.79); P < 0.01) growth charts. Prediction of LGA improved for all three growth charts with the inclusion of HbA1c measurement in comparison to each growth chart alone (P < 0.001 for all); the FMF growth chart remained more predictive of LGA at birth (AUC, 0.85 (95% CI, 0.81-0.90)) compared with the NICHD (AUC, 0.79 (95% CI, 0.73-0.84)) and Hadlock (AUC, 0.81 (95% CI, 0.76-0.86)) growth charts.
The FMF fetal growth chart had the best predictive performance for LGA at birth in comparison with the Hadlock and NICHD race/ethnicity-specific growth charts in pregnant individuals with pregestational diabetes. Inclusion of HbA1c improved further the prediction of LGA for all three charts. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
比较三种胎儿生长图表(胎儿医学基金会(FMF)、Hadlock 和美国国立儿童健康与人类发展研究所(NICHD)种族/民族特异性)预测患有孕前糖尿病孕妇中巨大儿(LGA)的能力,并确定是否纳入血红蛋白 A1c(HbA1c)水平是否可以改善生长图表的预测性能。
这是一项回顾性分析,纳入了患有 1 型或 2 型糖尿病且单胎妊娠的个体,且最终分娩出非畸形活产儿。在 28 周+0 至 36 周+6 周之间进行胎儿生物测量。主要暴露是疑似 LGA,定义为使用 Hadlock(公式 C)、FMF 和 NICHD 生长图表估计胎儿体重≥第 90 百分位数。主要结局是根据 2017 年美国出生率参考数据,出生体重≥第 90 百分位数的 LGA。使用受试者工作特征曲线(ROC)下面积(AUC)、灵敏度、特异性、阳性预测值和阴性预测值评估三种生长图表单独和结合 HbA1c 作为连续测量值预测 LGA 的性能。
在 358 名患有孕前糖尿病的孕妇中(34%为 1 型,66%为 2 型),有 147 名(41%)婴儿出生时为 LGA。Hadlock 识别出 123 名(34.4%)疑似 LGA,FMF 识别出 152 名(42.5%),NICHD 识别出 152 名(42.5%)。FMF 生长图表的灵敏度最高(77%比 NICHD 的 69%和 Hadlock 的 63%),Hadlock 生长图表的特异性最高(86%比 NICHD 的 76%和 FMF 的 82%),用于预测出生时的 LGA。FMF 生长图表的 AUC(0.79(95%CI,0.74-0.84))明显高于 NICHD 生长图表(AUC,0.72(95%CI,0.68-0.77);P<0.001)和 Hadlock 生长图表(AUC,0.75(95%CI,0.70-0.79);P<0.01)。与单独使用每种生长图表相比,纳入 HbA1c 测量值后,所有三种生长图表预测 LGA 的能力均有所提高(所有比较均 P<0.001);与 NICHD 生长图表(AUC,0.79(95%CI,0.73-0.84))和 Hadlock 生长图表(AUC,0.81(95%CI,0.76-0.86))相比,FMF 生长图表预测 LGA 的能力仍然更好(AUC,0.85(95%CI,0.81-0.90))。
与 Hadlock 和 NICHD 种族/民族特异性生长图表相比,FMF 胎儿生长图表在预测患有孕前糖尿病的孕妇中 LGA 的出生时表现最佳。纳入 HbA1c 进一步提高了所有三种图表预测 LGA 的能力。