Maternal BMI and Diagnostic Accuracy of Using Estimated Fetal Growth to Predict Abnormal Birthweight: Results from NICHD Fetal Growth Studies

<b>Background/Objectives:</b> 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). <b>Methods:</b> 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<sup>2</sup>) or overweight/obese (BMI > 24.9 to 44.9 kg/m<sup>2</sup>). 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. <b>Results:</b> 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, <i>p</i> = 0.593). However, for SGA, AUCs were higher in the overweight/obese group (.91 ± 0.01 vs. 0.84 ± 0.02, <i>p</i> = 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 (<i>p</i> = 0.12 and 0.15 for absolute and percent errors, respectively) in the overweight/obese group in the SGA birth cohort. <b>Conclusions:</b> 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.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2025-05-31
DOI
https://doi.org/10.3390/diagnostics15111398
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maternal BMI and Diagnostic Accuracy of Using Estimated Fetal Growth to Predict Abnormal Birthweight: Results from NICHD Fetal Growth Studies

Zhen Chen, Soutik Ghosal, Katherine L. Grantz, Jessica L. Gleason
Diagnostics
Birth, Development, and Health
article

Maternal BMI and Diagnostic Accuracy of Using Estimated Fetal Growth to Predict Abnormal Birthweight: Results from NICHD Fetal Growth Studies

Zhen Chen, Soutik Ghosal, Katherine L. Grantz, Jessica L. Gleason
article en

Abstract

<b>Background/Objectives:</b> 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). <b>Methods:</b> 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<sup>2</sup>) or overweight/obese (BMI > 24.9 to 44.9 kg/m<sup>2</sup>). 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. <b>Results:</b> 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, <i>p</i> = 0.593). However, for SGA, AUCs were higher in the overweight/obese group (.91 ± 0.01 vs. 0.84 ± 0.02, <i>p</i> = 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 (<i>p</i> = 0.12 and 0.15 for absolute and percent errors, respectively) in the overweight/obese group in the SGA birth cohort. <b>Conclusions:</b> 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.

DiagnosticsVol. 15(11)
National Institutes of Health (US), Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), University of Virginia (US)
Australian Government, National Institutes of Health, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NHLBI Division of Intramural Research
Openalex Percentile: Top 82%
Birth, Development, and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.