Ghosal Soutik, Gleason Jessica L, Grantz Katherine L, Chen Zhen
Division of Biostatistics, Public Health Science Department, School of Medicine, University of Virginia, Charlottesville, VA 22904, USA.
Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20817, USA.
Diagnostics (Basel). 2025 May 31;15(11):1398. doi: 10.3390/diagnostics15111398.
The objective of this study was to assess the diagnostic accuracy of sonographic estimated fetal weight (EFW) in predicting small (SGA)- or large-for-gestational-age (LGA) birthweight and examine whether the accuracy is associated with maternal body mass index (BMI). The participants of NICHD Fetal Growth Studies with complete data on maternal BMI (10-13.9 weeks), EFW within 14 days of delivery (18-41.3 weeks), and birthweight were included in this study. Participants were categorized as normal (BMI 18.5-24.9 kg/m) or overweight/obese (BMI > 24.9 to 44.9 kg/m). EFW accuracy was evaluated using area under the Receiver Operating Characteristic curves (AUCs) for SGA and LGA classification, and EFW error was analyzed across BMI groups. Among 1289 women, 714 (55.4%) were in the normal BMI group. AUCs for LGA prediction were similar between BMI groups (0.77 ± 0.03 for normal vs. 0.79 ± 0.02 for overweight/obese, = 0.593). However, for SGA, AUCs were higher in the overweight/obese group (.91 ± 0.01 vs. 0.84 ± 0.02, = 0.004), indicating improved accuracy. EFW absolute and percent errors were comparable across BMI groups in the full, AGA, and LGA birth cohorts separately, but they trended lower ( = 0.12 and 0.15 for absolute and percent errors, respectively) in the overweight/obese group in the SGA birth cohort. EFW has acceptable accuracy for predicting LGA, unaffected by BMI. However, for SGA, EFW accuracy is significantly higher in the overweight/obese group, suggesting that BMI influences diagnostic performance in SGA but not LGA classification.
本研究的目的是评估超声估计胎儿体重(EFW)预测小于胎龄儿(SGA)或大于胎龄儿(LGA)出生体重的诊断准确性,并研究该准确性是否与孕妇体重指数(BMI)相关。纳入了美国国立儿童健康与人类发展研究所(NICHD)胎儿生长研究中具有完整孕妇BMI数据(孕10 - 13.9周)、分娩前14天内的EFW数据(孕18 - 41.3周)以及出生体重数据的参与者。参与者被分为正常组(BMI 18.5 - 24.9 kg/m²)或超重/肥胖组(BMI > 24.9至44.9 kg/m²)。使用受试者操作特征曲线下面积(AUCs)评估EFW对SGA和LGA分类的准确性,并分析不同BMI组的EFW误差。在1289名女性中,714名(55.4%)属于正常BMI组。BMI组之间LGA预测的AUCs相似(正常组为0.