Neonatal anthropometric measurements to predict birth weight by ultrasound.
OBJECTIVE
To develop a more accurate ultrasound birth weight (BW) model using neonatal anthropometric measurements.


METHODS
Two hundred thirty-one newborns were evaluated. Measurements included weight; head, chest, and abdominal circumferences (umbilicus and liver), humerus, and femur lengths. Infants were randomly assigned into two groups (G(1) and G(2)). Anthropometric measurements that are obtainable by ultrasound were generated from G(1). Stepwise regression and a bootstrap analysis were used to create the prediction models. The models were validated using G(2).


RESULTS
The final stepwise regression model included FL and circumferences of the head, chest, and abdomen. The correlations were: G(1): R(2)=0.91, p<0.001; G(2): R(2)=0.90 p<0.001. There was no difference between derived and actual BW in G(1) (p=0.42) or G(2) (p=0.28). The mean absolute percent error between the prediction model and actual BW was 3.8%.


CONCLUSIONS
Neonatal anthropometric models are strongly predictive of actual BW. This model will be tested prospectively using ultrasound to predict fetal weight.
Stetzer
Bradley P
BP
Department of Reproductive Biology, Case Western Reserve University at MetroHealth Medical Center, Cleveland, OH 44109, USA.
Thomas
Alicia
A
Amini
Saeid B
SB
Catalano
Patrick M
PM
D000886:Anthropometry; D001724:Birth Weight; D005314:Embryonic and Fetal Development; D005260:Female; D006801:Humans; D007231:Infant, Newborn / Q000254:growth & development*; D008297:Male; D011237:Predictive Value of Tests; D011247:Pregnancy; D016216:Ultrasonography, Prenatal