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The importance of a comprehensive assessment of fetometry and anthropometry in a pregnant woman for predicting the weight of a newborn

[Obstetrios and gynecology]
Eduard Mikhailovich Iutinsky; Lev Mikhailovich Zheleznov; Sergey Afanasyevich Dvoryansky;

Accurate prenatal fetal weight estimation is hindered by universal formulas that do not account for regional and maternal parameters, leading to errors in various populations. This study analyzed 5161 cases of term singleton pregnancies in the Kirov region (2018–2023): regional percentile curves for femur length (FL) and abdominal circumference (AC) were constructed using ultrasound data and compared with federal standards; mothers were stratified by BMI, age, and parity. A multiple linear model for fetal weight prediction was created with AC, FL, maternal weight, and height as predictors; accuracy was assessed using R2, MAE, RMSE, ME, and Bland – Altman analysis. Starting from 20 weeks, regional FL was 0.7–0.8 mm lower than the federal standard (p<0.01), and AC was 1–2 mm higher; the integrative model achieved R2=0.72 (vs. 0.60–0.65 for single-parameter models), MAE=6 % (200 g) vs. 7.5 % for Hadlock, ME +5 g vs. –120 g, limits of agreement ±710 g vs. ±820 g, and the rate of large errors (>10 %) was 18 % vs. 24 %. Combining regional fetal biometric standards with maternal anthropometry significantly increases the accuracy of neonatal weight prediction and eliminates systematic biases of universal formulas.

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Keywords: ultrasound fetometry, anthropometry of pregnant women, and prediction of newborn weight


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