Work

EP14.08: Sonographic prediction of birthweight discordance in twin gestations

Year: 2024
Type: conference-abstract
Abstract: Birthweight discordance (BWD) in twin gestations is associated with an increased risk of adverse neonatal outcomes. The antenatal prediction of BWD may provide a window of opportunity to mitigate these outcomes. This study aimed to determine the performance of sonographic biometric parameters in predicting birthweight discordance in twin gestations. This was a cohort study of win gestations delivered in a single medical centre between 2013-2023. Twin gestations in whom sonographic estimation of fetal weight was performed within 14 days of delivery were included in the analysis. Logistic regression and Receiver-operating curves (ROC) were adopted to compare the performance of Estimated Fetal Weight (EFW), Abdominal circumference (AC), Femur length (FL) and Head circumference (HC) discordance (>10% intertwin difference for each parameter) for the prediction of Birthweight discordance (>18%). A total of 612 twins were included in the analysis. EFW and AC but not HC and FL discordancy was associated with a significantly increased risk of BW discordancy (odds ratio (OR) 2.6, 95% CI 1.5-4.4, p < 0.001), (OR 5.2, 95% CI 2.3-12.2, p < 0.0001) (OR 0.4 95% CI 0.02-2.2 p = 0.4), and (OR 3.5, 95% CI 0.8-14.5, p = 0.09) respectively. EFW discordance was associated with an Area Under the Curve of 0.82 (95% CI 0.74-0.89, p < 0.001) while AC, HC and FL discordance was associated with an AUC of 0.6(95% CI 0.48-0.67, p = 0.07), 0.6 (95% CI, 0.5-0.68, p = 0.04) and 0.6 (95% CI, 0.52-0.7, p = 0.01) for the prediction of birthweight discordance. EFW discordance > 10% serves as a significant and robust indicator for predicting birthweight discordancy, surpassing the predictive capabilities of abdominal circumference (AC), head circumference (HC), and femur length (FL) discordance.
Authors: M. Lopian, A. Many, E. Segal, L. Kashani‐Ligumsky
Language: English
Field: Medicine
Open Access status: bronze
OpenAlex ID: W4402359238
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