OBJECTIVE: To develop a more accurate ultrasound birth weight (BW) model using neonatal anthropometric measurements. STUDY DESIGN: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%. CONCLUSION: Neonatal anthropometric models are strongly predictive of actual BW. This model will be tested prospectively using ultrasound to predict fetal weight.
RCT Entities:
OBJECTIVE: To develop a more accurate ultrasound birth weight (BW) model using neonatal anthropometric measurements. STUDY DESIGN: 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%. CONCLUSION: Neonatal anthropometric models are strongly predictive of actual BW. This model will be tested prospectively using ultrasound to predict fetal weight.
Authors: Samrawit F Yisahak; Stefanie N Hinkle; Sunni L Mumford; Mengying Li; Victoria C Andriessen; Katherine L Grantz; Cuilin Zhang; Jagteshwar Grewal Journal: Int J Epidemiol Date: 2021-03-03 Impact factor: 7.196
Authors: Russell L Deter; Wesley Lee; Haleh Sangi-Haghpeykar; Adi L Tarca; Lami Yeo; Roberto Romero Journal: J Matern Fetal Neonatal Med Date: 2014-07-11
Authors: Melissa M Smarr; Germaine M Buck Louis; Paul S Albert; Sungduk Kim; Karin M Fuchs; Jagteshwar Grewal; Mary E D'Alton; Katherine L Grantz Journal: Am J Perinatol Date: 2017-11-30 Impact factor: 1.862
Authors: Calvin Lambert; Jessica L Gleason; Sarah J Pugh; Aiyi Liu; Alaina Bever; William A Grobman; Roger B Newman; Deborah Wing; Nicole M Gerlanc; Fasil Tekola-Ayele; Katherine L Grantz Journal: Int J Environ Res Public Health Date: 2020-10-07 Impact factor: 3.390
Authors: Jessica L Gleason; Fasil Tekola-Ayele; Rajeshwari Sundaram; Stefanie N Hinkle; Yassaman Vafai; Germaine M Buck Louis; Nicole Gerlanc; Melissa Amyx; Alaina M Bever; Melissa M Smarr; Morgan Robinson; Kurunthachalam Kannan; Katherine L Grantz Journal: JAMA Netw Open Date: 2021-03-01