Correlation of fetal anterior abdominal wall thickness and other standard biometric ultrasound measurements to predict fetal macrosomia in gestational diabetes

• Published in: Journal of medical ultrasound Vol. 31; no. 1; pp. 29 - 34
• Main Authors: Bansal, Ashish, Thukral, Brij, Bagri, Neha, Kanwar, Ankita, Khandelwal, Ayush, Bajaj, Bindu
• Format: Journal Article
• Language: English
• Published: India Wolters Kluwer India Pvt. Ltd 01.01.2023; Wolters Kluwer - Medknow; Wolters Kluwer Medknow Publications
• Subjects: anterior abdominal wall thickness; fetal; gestational diabetes mellitus; macrosomia; Original; ultrasound; Anterior abdominal wall thickness; gestational diabetes mellitus; fetal; macrosomia; ultrasound
• ISSN: 0929-6441; 2212-1552
• DOI: 10.4103/JMU.JMU_57_21

Background: Gestational diabetes mellitus (GDM) is one of the most common medical conditions affecting pregnancy and significantly increasing the risk for maternal and perinatal complications. The aim of the present study is to study the correlation of fetal anterior abdominal wall thickness (FAAWT) and other standard fetal biometric parameters measured by ultrasound between 36 and 39 weeks of gestation with neonatal birth weight in pregnancies complicated by GDM. Methods: Prospective cohort study in a tertiary care center including 100 singleton pregnancies with GDM were subjected to ultrasound between 36 and 39 weeks of gestation. Standard fetal biometry (Biparietal diameter, Head Circumference, Abdominal circumference [AC], and Femur Length) and estimated fetal weight were calculated. FAAWT was measured at AC section and actual neonatal birth weights were recorded after delivery. Macrosomia was defined as an absolute birth weight more than 4000 g regardless of the gestational age. Statistical analysis was done and 95% confidence level was considered significant. Results: Among 100 neonates, 16 were macrosomic (16%) and third trimester mean FAAWT was significantly higher in macrosomic babies (6.36 ± 0.5 mm) as compared to nonmacrosomic babies (5.54 ± 0.61 mm) (P < 0.0001). FAAWT >6 mm (Receiver operating characteristic curve derived) provided a sensitivity of 87.5%, specificity of 75%, positive predictive value of 40%, and negative predictive value (NPV) of 96.9% for prediction of macrosomia. While other standard fetal biometric parameters did not correlate well with actual birth weight in macrosomic neonates, only FAAWT was found to have statistically significant correlation (correlation coefficient of 0.626, P = 0.009). Conclusion: The FAAWT was the only sonographic parameter to have a significant correlation with neonatal birth weight in macrosomic neonates of GDM mothers. We found a high sensitivity (87.5%), specificity (75%), and NPV (96.9%) suggesting that FAAWT < 6 mm can rule out macrosomia in pregnancies with GDM.