PFM.20 A study on the accuracy and validity of ultrasonographic fetal weight estimation in a mainly non-Caucasian population. (9th June 2014)

• Record Type: Journal Article
• Authors: Aquilina, J; Azizia, M; Marriott, C
• Is Part Of: Archives of disease in childhood. Volume 99:Supplement 1(2014)
• Page Start: A88
• Page End: A89
• Publication Date: 2014-06-09
• Subjects: Infants -- Diseases -- Periodicals; Newborn infants -- Diseases -- Periodicals; Fetus -- Diseases -- Periodicals; 618.920105
• DOI: 10.1136/archdischild-2014-306576.252
• Languages: English
• ISSNs: 1359-2998

Abstract

Abstract : Introduction: To evaluate the accuracy and validity of common formulae for estimating fetal weights using ultrasonographic measurements in low birthweight babies (LBW) ≤2500 g and high birth weight (HBW) ≥4000 g. Methods: All births within the study groups over a one year period were identified. Maternal demographic data and most recent ultrasonographic data from fetal well-being scans within 10 days of delivery were collected. Estimated fetal weight was calculated using biometric data and compared to actual birth weights, giving mean percentage error and standard deviation for each formulae within the groups. Results: All formulae show systematic errors across both groups, with a general tendency to overestimate weight of LBW infants and underestimate the weight of those within the HBW group. In the LBW group, the Hadlock AC-FL method had the smallest systematic error (95% CI: 7.2%±2.5%). In the HBW group, the Woo BPD-AC-FL formula showed the lowest systematic error (95% CI: -4.9%±2.9%). The Hadlock AC-FL method again performed well (95% CI: -5.7%±2.0%). Conclusions: Although current reference ranges are based on Caucasian populations the error in estimating fetal weight in a local population of mainly non-Caucasian ethnicity, is still within an acceptable margin of error (less than 10%). Overall, methods which are not based upon biometric measurements of the fetal head appeared to be more accurate. Customised growth charts may improve accuracy by taking into account non-pathological variants of fetal growth (ethnicity and parity and maternal weight).