Ounpraseuth Songthip T, Magann Everett F, Spencer Horace J, Rabie Nader Z, Sandlin Adam T
Department of Biostatistics, University of Arkansas for the Medical Sciences, Little Rock, Arkansas, USA.
Department of Obstetrics and Gynecology, University of Arkansas for the Medical Sciences, Little Rock, Arkansas, USA.
J Obstet Gynaecol Res. 2017 Jul;43(7):1122-1131. doi: 10.1111/jog.13332. Epub 2017 May 15.
Ultrasound estimation and evaluation of amniotic fluid volume (AFV) is an important component of pregnancy surveillance and fetal well-being. The purpose of this study was to compare and contrast four statistical methods used to construct gestational age-specific reference intervals for the assessment of AFV.
A total of 1095 normal AFV derived from four studies that measured AFV using dye-dilution or direct measurement at the time of hysterotomy were used to construct reference intervals using polynomial regression, quantile regression, Royston and Wright mean and SD, and Cole's lambda mu sigma (LMS) methods. The 2.5th, 5th, 50th, 95th, and 97.5th centiles were derived for each statistical method.
AFV increased curvilinearly from 15 gestational weeks and onward. Based on the 50th centile, the maximum value occurred at 30 weeks' gestation for the polynomial regression and mean and SD methods while the maximum was achieved at week 31 for the quantile regression and LMS methods. When data were sparse, the quantile regression method produced dramatically different estimates at the higher centile.
The four statistical methods produced similar results at gestational ages in which AFV was high. The quantile regression approach, however, produces results that are more reflective of the data when the data are sparse. Given the flexibility and robustness of the quantile regression method, we recommend its use in constructing reference intervals when the interest lies in the tails of the reference distribution.
超声估计和评估羊水量(AFV)是孕期监测和胎儿健康状况的重要组成部分。本研究的目的是比较和对比四种用于构建特定孕周参考区间以评估AFV的统计方法。
总共1095例正常AFV数据来自四项研究,这些研究在剖宫产时使用染料稀释法或直接测量法测量AFV,并采用多项式回归、分位数回归、罗伊斯顿和赖特均值与标准差以及科尔的λμσ(LMS)方法构建参考区间。每种统计方法得出第2.5、5、50、95和97.5百分位数。
AFV从孕15周起呈曲线增加。基于第50百分位数,多项式回归以及均值与标准差方法在孕30周时达到最大值,而分位数回归和LMS方法在孕31周时达到最大值。当数据稀疏时,分位数回归方法在较高百分位数处产生的估计值差异显著。
在AFV较高的孕周,这四种统计方法产生的结果相似。然而,当数据稀疏时,分位数回归方法产生的结果更能反映数据情况。鉴于分位数回归方法的灵活性和稳健性,我们建议在构建参考区间时,如果关注参考分布的尾部,可使用该方法。