Study Status: Not yet recruiting
Recruit Status: Not yet recruiting
Study Type: Interventional
Official Title: Customized Versus Population Fetal Growth Curves: A Randomized Controlled Pilot Trial
Brief Summary:
Fetal growth abnormalities is one of the most common problems faced in modern obstetrics. The association between low birth weight and perinatal death as well as severe morbidity is well known. Since fetal weight cannot be measured directly, obstetricians use estimates of fetal weight obtained by utilizing various ultrasonographic measurements to diagnose growth abnormalities. Currently in clinical practice, the majority of fetal ultrasound centers employ population-based fetal growth curves that have been previously published and updated to estimate fetal weight percentiles. Up to 70% of neonates found to be below the 10% percentile for estimated fetal weight in population-based growth curves are actually constitutionally small; that is a neonate deemed "small" based on standardized growth curves but in reality have reached its appropriate growth potential in relation to its genetic predisposition.
An equally difficult clinical scenario is fetal macrosomia. A recent meta-analysis revealed that the sensitivity and specificity of ultrasound detection of fetal macrosomia ranges from 15-79%. When compared with neonates with normal birth weight, the odds ratio of emergency cesarean delivery and shoulder dystocia are increased significantly.
Various ultrasound parameters have been tested in an effort to detect both fetal compromise prior to the development of permanent damage and allow differentiation between true fetal growth abnormalities and normal growth potential. Recent reports have introduced the concept of customized fetal growth curve which uses physiological variables to report an adjusted fetal growth assessment. To date, the use of customized fetal growth curves has not been evaluated prospectively. Furthermore, this strategy has not been compared to standard population-based fetal growth curves currently