González-González Nieves L, González-Dávila Enrique, González Marrero Lidia, Padrón Erika, Conde José R, Plasencia Walter
Departamento de Obstetricia y Ginecología y Pediatría, Hospital Universitario de Canarias, Universidad de La Laguna, Canary Islands, Spain.
Departamento de Matemáticas, Estadística e Investigación Operativa, Universidad de La Laguna, Canary Islands, Spain.
Eur J Obstet Gynecol Reprod Biol. 2017 May;212:13-19. doi: 10.1016/j.ejogrb.2017.03.005. Epub 2017 Mar 6.
To evaluate the utility of first-trimester placental volume and vascular flow indices to predict intrauterine growth retardation (IUGR).
In 1004 singleton pregnancies attending routine care we recorded maternal characteristics, biophysical and biochemical factors included in the first trimester screening for aneuploidy (FTSA) and uterine artery pulsatility index (PI). Placental volume, Vascularization Index, Flow Index and Vascularization Flow Index were obtained. Customized curves were used to define IUGR. We compared pregnancies with and without IUGR. The performance of different predictive models was described by the areas under the receiver operator characteristic (AUROC) curve. Predictive models of IUGR were compared using a two by two approach and subset analysis was performed.
Placental volume and all vascular indices were significantly lower (p<0.001, p≤0.01), and uterine artery PI higher (p<0.001), in pregnancies with IUGR, with and without associated pre-eclampsia.
obtained in the analysis of homogeneous subsets showed that the effectiveness of combined predictive models for IUGR improved significantly after adding vascular indices or placental volume to maternal characteristics, FTSA variables and uterine artery PI (AUROC curve value 0.703 (95% CI 0.663-0.744) versus 0.720 (95% CI 0.681-0.759) and 0.735 (95% CI 0.696-0.733), respectively). The most effective model at first trimester was that which included only maternal characteristics, uterine a-PI and placental volume, similar to that of the most complex model built with all the factors analyzed in this study AUROC curve value 0.735 (95% CI 0.696-0.773).
Placental volume and vascular indices were predictors factors of IUGR at first trimester. The effectiveness of combined predictive models for IUGR increased significantly after adding these factors, but the sensitivity of these models was too low for them to be considered useful in clinical practice.
评估孕早期胎盘体积和血管血流指数预测胎儿宫内生长受限(IUGR)的效用。
在1004例接受常规护理的单胎妊娠中,我们记录了孕妇特征、孕早期非整倍体筛查(FTSA)中包含的生物物理和生化因素以及子宫动脉搏动指数(PI)。获取胎盘体积、血管化指数、血流指数和血管化血流指数。使用定制曲线定义IUGR。我们比较了有和没有IUGR的妊娠情况。通过受试者操作特征(AUROC)曲线下面积描述不同预测模型的性能。使用二乘二方法比较IUGR的预测模型并进行子集分析。
无论有无子痫前期,患有IUGR的妊娠中,胎盘体积和所有血管指数均显著降低(p<0.001,p≤0.01),子宫动脉PI升高(p<0.001)。
在同质子集分析中获得的结果表明,将血管指数或胎盘体积添加到孕妇特征、FTSA变量和子宫动脉PI后,IUGR联合预测模型的有效性显著提高(AUROC曲线值分别为0.703(95%CI 0.663 - 0.744)、0.720(95%CI 0.681 - 0.759)和0.735(9s%CI 0.696 - 0.733))。孕早期最有效的模型是仅包含孕妇特征、子宫a - PI和胎盘体积的模型,类似于使用本研究中分析的所有因素构建的最复杂模型(AUROC曲线值0.735(95%CI 0.696 - 0.773))。
胎盘体积和血管指数是孕早期IUGR的预测因素。添加这些因素后,IUGR联合预测模型的有效性显著提高,但这些模型的敏感性过低,在临床实践中不认为有用。