期刊
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE
卷 29, 期 12, 页码 1888-1894出版社
TAYLOR & FRANCIS LTD
DOI: 10.3109/14767058.2015.1070139
关键词
Biometric trajectories; customization; fetal growth; Raine study
资金
- University of Western Australia (UWA)
- Curtin University
- Telethon Kids Institute
- Raine Medical Research Foundation
- UWA Faculty of Medicine
- Dentistry and Health Sciences
- Women and Infants Research Foundation
- Edith Cowan University
- Athelstan
- Faculty of Medicine, Dentistry and Health Sciences at The University of Western Australia
- Royal Australian and New Zealand College of Obstetricians and Gynaecologists
- Women and Infants Research Foundation, Western Australia
Objective: To develop customized biometric charts to better define abnormal fetal growth.Methods: A total of 1056 singleton fetuses from the Raine Study underwent serial ultrasound biometry (abdominal circumference [AC], head circumference, and femur length) at 18, 24, 28, 34, and 38 weeks' gestation. Customized biometry trajectories were developed adjusting for epidemiological influences upon fetal biometry using covariates available at 18 weeks gestation. Prediction accuracy (areas under the receiver operating characteristic curve [AUC] and 95% confidence interval [95%CI]) was evaluated by repeated random sub-sampling cross-validation methodology.Results: The model for derived estimated fetal weight (EFW) performed well for EFW less than 10th predicted percentile (AUC=0.695, 95%CI, 0.692-0.699) and EFW greater than 90th predicted percentile (AUC=0.705, 95%CI, 0.702-0.708). Fetal AC was also well predicted for growth restriction (AUC=0.789, 95%CI, 0.784-0.794) and macrosomia (AUC=0.796, 95%CI, 0.793-0.799). Population-derived, sex-specific charts misclassified 7.9% of small fetuses and 10.7% of large fetuses as normal. Conversely, 9.2% of those classified as abnormally grown by population-derived charts were considered normal by customized charts, potentially leading to complications of unnecessary intervention.Conclusions: Customized fetal biometric charts may offer improved ability for clinicians to detect deviations from optimal fetal growth and influence pregnancy management.
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