Munim Shama, Figueras Francesc, Shah Saima Malik, Khan Farah, Gardosi Jason
The Aga Khan University Hospital, Karachi, Pakistan.
J Obstet Gynaecol Res. 2010 Jun;36(3):479-83. doi: 10.1111/j.1447-0756.2010.01169.x.
To assess and validate the best model for fetal weight estimation in the Pakistani population.
The cohort included 178 women with singleton pregnancies at term (37-41 weeks) who had an ultrasound scan within 7 days of delivery. A proportionality formula was used to compensate for the fetal weight gain between the scan and the delivery. Data points from 119 pregnancies were used to derive the fetal weight formula, which was subsequently tested on the remaining 59 pregnancies. The best model for fetal weight estimation from ultrasound biometric parameters was selected.
The selected model showed an interclass correlation coefficient with birthweight of 0.89. The systematic and random errors were -10 and 250 g, respectively. This validity assessment compared favorably with the performance of the more commonly used formulae when applied to our population.
We describe a new model for fetal weight estimation in a Pakistani population which produces more valid and reliable estimates than currently used models derived from other populations.
评估并验证适用于巴基斯坦人群的胎儿体重估计最佳模型。
该队列包括178名单胎足月妊娠(37 - 41周)的女性,她们在分娩前7天内接受了超声扫描。使用一个比例公式来补偿扫描至分娩期间胎儿体重的增加。来自119例妊娠的数据点用于推导胎儿体重公式,随后在其余59例妊娠中进行测试。从超声生物测量参数中选择了胎儿体重估计的最佳模型。
所选模型与出生体重的组内相关系数为0.89。系统误差和随机误差分别为 -10克和250克。当应用于我们的人群时,这种有效性评估与更常用公式的表现相比具有优势。
我们描述了一种适用于巴基斯坦人群的胎儿体重估计新模型,该模型比目前从其他人群得出的模型能产生更有效、更可靠的估计。