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by the American Institute of Ultrasound in Medicine J Ultrasound Med 27:1553-1558 0278-4297 New Regression Formulas for Sonographic Weight Estimation Within 10, 7, and 3 Days of DeliveryDepartment of Obstetrics and Gynecology, Helen Schneiders Hospital for Women, Rabin Medical Center, Petach Tikva, Israel; and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Address correspondence to Avi Ben-Haroush, MD, Department of Obstetrics and Gynecology, Helen Schneiders Hospital for Women, Rabin Medical Center, 49100 Petach Tikva, Israel. E-mail: yudavi{at}inter.net.il
Objectives. The purpose of this study was to develop new regression formulas based on large numbers of sonographic examinations performed within 10, 7, and 3 days of delivery. Methods. Sonographic fetal biometric measurements and delivery ward data for an unselected population were analyzed. Multivariate linear regression models were fitted to the sonographic data to predict the actual birth weight (BW) within 10, 7, and 3 days. Results. The analyses included 6289, 5449, and 4007 patients who underwent sonographic examinations within 10, 7, and 3 days of delivery, respectively. All models yielded very high correlation coefficients (r = 0.927–0.958; R2 = 0.859–0.918), low mean deviations between the calculated and actual BWs (6.4%–6.6% ± 1 SD of 5.5%–5.9%), and high percentages of the calculated BW within 10% of the actual BW (78.5%–80.4%). Estimated fetal weight analyses made within 3 days of delivery yielded slightly better results than within 7 and 10 days. Conclusions. The new regression formulas yielded overall similar results, with a small advantage for estimates calculated within 3 days of delivery. Further prospective studies are needed to compare the accuracy of these formulas with those used to date.
Key Words: fetal weight estimation regression formulas sonographic measurements Abbreviations: AC, abdominal circumference BPD, biparietal diameter BW, birth weight CI, confidence interval EFW, estimated fetal weight FL, femur length HC, head circumference LR, likelihood ratio NPV, negative predictive value PPV, positive predictive value
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