A new formula for calculating weight in the fetus of
1600 g
Authors: R. L. Schild1; K. Fell1; R. Fimmers2; U. Gembruch1; M. Hansmann1
Source: Ultrasound in Obstetrics and Gynecology, Volume 24, Number 7, December 2004 , pp. 775-780(6)
Publisher: John Wiley & Sons, Ltd.
Abstract:
ObjectiveTo develop and test a new formula for estimating weight in the fetus of
1600 g.MethodsA formula for sonographic estimation of fetal weight was produced retrospectively from 84 singleton fetuses with a birth weight of
1600 g, examined sonographically within 1 week before delivery. Exclusion criteria were multiple pregnancy, intrauterine death and major structural or chromosomal anomalies. The new formula was then compared prospectively in an evaluation group of fetuses (n = 87) with six currently available equations for estimating weight in the preterm fetus.ResultsStepwise regression analysis with gestational age (in days) and fetal biometric parameters was employed to yield the best-fit formula for predicting fetal weight at birth. The new formula (estimated fetal weight = 5381.193 + 150.324 × head circumference + 2.069 × femur length3 + 0.0232 × abdo- minal circumference36235.478 × log(head circumference)) proved to be superior to established equations. The lowest mean ± SD absolute error was 66.2 ± 59 g and the lowest mean absolute percentage error was 7.1 ± 5.9% SD when studied prospectively in the evaluation group. With the new formula, 48.3% of estimates fell within ±5% of the actual weight at birth, 73.6% fell within ±10%, 90.8% fell within ±15% and 95.4% fell within ±20%.ConclusionOur new formula is relatively easy to use and needs no adjustment to weight centiles or to fetal lie. It allows reliable weight estimation in the fetus
1600 g. Copyright © 2004 ISUOG. Published by John Wiley & Sons, Ltd.
Keywords: fetal weight; small fetus; ultrasound
Document Type: Research article
DOI: 10.1002/uog.1741
Affiliations: 1: Department of Obstetrics and Fetal Medicine, Centre for Obstetrics and Gynaecology, Germany 2: Institute for Medical Statistics, University Hospital Bonn, Germany

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