Department of Obstetrics, Fernandes Figueira Institute, Oswaldo Cruz Foundation (IFF-FIOCRUZ), Avenida Rui Barbosa 716, 3 degrees Andar, Flamengo, Rio de Janeiro, Brazil.
Arch Gynecol Obstet. 2013 Jan;287(1):31-5. doi: 10.1007/s00404-012-2516-y. Epub 2012 Aug 17.
The aim of this study was to develop a nomogram for fetal urine production (UPR) using biometric parameters.
A cross-sectional study was performed in 110 normal singleton fetuses with gestational ages ranging from 20 to 40 weeks. UPR was measured using tridimensional ultrasound (3-DUS) virtual organ computer-aided analysis. UPR (ml/h) was calculated during the filling phase using the equation, UPR = (VFB2-VFB1)/time. The values for UPR were plotted as a function of fetal biometry (femur, humerus, abdominal circumference, and head circumference and biparietal diameter) to obtain a nomogram for each parameter.
A total of 110 normal singleton fetuses with gestational age between 20 and 40 weeks were investigated. Five of them were excluded because the image quality was insufficient for correct visualization of the bladder contour. Linear regression analysis of UPR as a function of femur, humerus, abdominal circumference, and head circumference and biparietal diameter generated curves that represents the normal range for UPR by fetal biometry, and expressed by the following equations: (1) Humerus length (HL): ln (UPR) = -5.9546 + 0.0958 × HL (mm); (R(2) 0.6422); (2) abdominal circumference: ln (UPR) = -1.0981 + 0.158 × AC (mm); (R(2) 0.6328); (3) femur length: ln (UPR) = -1.5133 + 0.0803 × FL (mm); (R(2) 0.6611); (4) biparietal diameter ln (UPR) = -7.8779 + 0.2368 × BPD-0.0012 × DBP(2); (R(2) 0.7066). Although BPD has the highest correlation coefficient (R(2) 0.7066) there was no statistical significant difference between the parameters investigated for UPR prediction.
The use of biometric parameters for prediction of fetal UPR seems to be useful and can avoid the necessity of building local nomograms for different populations. The same strategy should be considered to other fields in fetal medicine.
本研究旨在利用生物计量参数开发胎儿尿量（UPR）的列线图。
对 110 例 20 至 40 孕周的正常单胎胎儿进行横断面研究。使用三维超声（3-DUS）虚拟器官计算机辅助分析测量 UPR。在充盈期使用方程 UPR =（VFB2-VFB1）/时间计算 UPR（ml/h）。将 UPR 值绘制为胎儿生物计量学（股骨、肱骨、腹围和头围及双顶径）的函数，以获得每个参数的列线图。
共对 110 例 20 至 40 孕周的正常单胎胎儿进行了研究。其中 5 例因膀胱轮廓的图像质量不足，无法正确显示而被排除。UPR 作为股骨、肱骨、腹围和头围及双顶径的函数进行线性回归分析，生成了代表胎儿生物计量学正常范围的曲线，并由以下方程表示：（1）肱骨长度（HL）：ln（UPR）=-5.9546+0.0958×HL（mm）；（R20.6422）；（2）腹围：ln（UPR）=-1.0981+0.158×AC（mm）；（R20.6328）；（3）股骨长度：ln（UPR）=-1.5133+0.0803×FL（mm）；（R20.6611）；（4）双顶径 ln（UPR）=-7.8779+0.2368×BPD-0.0012×DBP2；（R20.7066）。虽然双顶径的相关系数最高（R20.7066），但在预测 UPR 方面，各参数之间无统计学差异。
使用生物计量参数预测胎儿 UPR 似乎是有用的，可以避免为不同人群建立局部列线图的必要性。在胎儿医学的其他领域也应考虑采用相同的策略。
