AI Summary & Key Takeaways
AI InsightCONCLUSION: Delivery week, maternal body mass index and serum AFP levels are independent predictive risk factors for high birth weight.
📌 3 Key Takeaways
Abstract
OBJECTIVE: Our aim was to determine the factors that could predict macrosomia based on possible maternal and pregnancy specific characteristics. STUDY DESIGN: This retrospective case control study was performed in Baskent University Medical Faculty, Department of Obstetrics and Gynecology. 180 patients who gave birth to babies heavier than 4000 g between January 2000-January 2002 were selected. 72 nonsmoking, nondiabetic women with uncomplicated gestations who had enough data were admitted to the study (Group I). Control group (Group II) included 76 patients with uncomplicated singleton pregnancies who had delivered babies <4000g between 37 and 42 weeks of gestation. Gestational age was confirmed by measuring crown rump length (CRL). Maternal weight, height, body mass index (BMI), parity, delivery week, 50 g oral glucose test value and second trimester maternal serum levels of alfa-fetoprotein (AFP), unconjugated estriol (uE3) and human chorionic gonadotropin (hCG) levels were compared in two groups. RESULTS: A total of 1706 deliveries occurred during the study period. The rate of macrosomic deliveries was 11%. Mean maternal weight, body mass index (BMI), delivery week and parity were higher but AFP levels were lower in macrosomic group. Maternal age, maternal height, uE3, HCG and mean 50 g OGTT levels were not different between two groups. Bivariate correlation analysis revealed significant correlation between fetal weight and parity, maternal weight, BMI, AFP and delivery week. However after logistic regression analysis only BMI, AFP and delivery week were found to be independent parameters, which could predict excessive fetal weight. CONCLUSION: Delivery week, maternal body mass index and serum AFP levels are independent predictive risk factors for high birth weight.