Plonka Magdalena, Bociaga Marta, Radon-Pokracka Malgorzata, Nowak Magdalena, Huras Hubert
Jagiellonian Univeristy Collegium Medicum, Department of Obstertics and Perinatology, Cracow, Poland, Kopernika 23 Street, 31-501 Kraków, Poland.
Ginekol Pol. 2020;91(1):17-23. doi: 10.5603/GP.2020.0005.
The aim of the study is to compare the accuracy of 11 formulas in predicting fetal weight.
The study includes 1072 pregnant women of gestational age from 28 to 42 weeks, who gave birth between January and June 2017. Pregnant women were divided into five groups; group 1, where actual birth weight (ABW) was less than 2500 g, group 2, where ABW was between 2500-4000 g, group 3, where ABW was above 4000 g. Group 4 - newborns with birth weight under 10 percentile and group 5 - newborns with birth weight above 90 percentile. The accuracy of the estimated fetal weight (EFW) was assessed by calculating absolute percentage error (APE) and 'limits-of-agreement'. R Spearman correlation was utilized between EFW and ABW.
The most accurate formula for group 1 is Hadlock3 (MAPE = 7.04%), the narrowest limits of agreement has Combs - [mean (SD): 99.41 g (269.57 g)]. For group 2, the lowest MAPE (5.43%) has Ott, the narrowest limits of agreement belongs to Combs - [mean (SD): -101.36 g (275.88 g)] . For group 3 is Hadlock3 (MAPE = 5.79%), the narrowest limits of agreement has Hadlock5 [mean (SD): -637.32 g (209.59 g)]. For group 4 is Combs (MAPE = 7.72%), the narrowest limits of agreement has Combs [mean (SD): 195.77 g (264.97 g)]. For gr oup 5 is Warsof2 (MAPE = 7.06%), the narrowest limits of agreement has Campbell [mean (SD): 227.81 g (299.26 g)].
Median of absolute percentage error is the most useful parameter to predict birth weight. Each group of fetuses needs different formula to predict the most accurate weight.
本研究旨在比较11种公式预测胎儿体重的准确性。
本研究纳入了1072例孕周为28至42周的孕妇，她们于2017年1月至6月分娩。孕妇被分为五组；第1组，实际出生体重（ABW）小于2500g；第2组，ABW在2500 - 4000g之间；第3组，ABW高于4000g。第4组 - 出生体重低于第10百分位数的新生儿，第5组 - 出生体重高于第90百分位数的新生儿。通过计算绝对百分比误差（APE）和“一致性界限”来评估估计胎儿体重（EFW）的准确性。EFW与ABW之间采用Spearman秩相关分析。
第1组最准确的公式是Hadlock3（平均绝对百分比误差 = 7.04%），一致性界限最窄的是Combs - [均值（标准差）：99.41g（269.57g）]。对于第2组，最低的平均绝对百分比误差（5.43%）是Ott，一致性界限最窄的是Combs - [均值（标准差）： - 101.36g（275.88g）]。对于第3组是Hadlock3（平均绝对百分比误差 = 5.79%），一致性界限最窄的是Hadlock5 [均值（标准差）： - 637.32g（209.59g）]。对于第4组是Combs（平均绝对百分比误差 = 7.72%），一致性界限最窄的是Combs [均值（标准差）：195.77g（264.97g）]。对于第5组是Warsof2（平均绝对百分比误差 = 7.06%），一致性界限最窄的是Campbell [均值（标准差）：227.81g（299.26g）]。
绝对百分比误差中位数是预测出生体重最有用的参数。每组胎儿需要不同的公式来预测最准确的体重。
