First-trimester placental ultrasound and maternal serum markers as predictors of small-for-gestational-age infants.
First-trimester placental ultrasound and maternal serum markers as predictors of small-for-gestational-age infants.
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DOI:
10.1016/j.ajog.2014.02.033
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发表时间:
2014-09
影响因子:
9.8
通讯作者:
Parry, Samuel
中科院分区:
文献类型:
--
作者:
Schwartz, Nadav;Sammel, Mary D.;Leite, Rita;Parry, Samuel
关键词:
To combine early, direct assessment of the placenta with indirect markers of placental development to identify pregnancies at greatest risk of delivering small-for-gestational age infants (SGA10). We prospectively collected 3D-ultrasound volume sets, uterine artery pulsatility index (UtAPI) and maternal serum of singleton pregnancies at 11–14 weeks. Placental volume (PV), quotient (PQ=PV/gestational age), mean placental and chorionic diameters (MPD and MCD, respectively), and the placental morphology index (PMI=MPD/PQ and adjusts the lateral placental dimensions for quotient) were measured offline. Maternal serum was assayed for placental growth factor (PlGF) and placental protein-13 (PP13). These variables were evaluated as predictors of SGA10. Of the 578 pregnancies included in the study, 56 (9.7%) delivered SGA10. SGA10 pregnancies had a significantly smaller PV, PQ, MPD and MCD and higher PMI compared to normal pregnancies (P<0.001 for each). Each placental measure remained significantly associated with SGA10 after adjusting for confounders and significantly improved the performance of the model using clinical variables alone (P<0.04 for each) with adjusted AUCs ranging from 0.71 to 0.74. UtAPI did not remain significantly associated with SGA10 after adjusting for confounders (P=0.06). PlGF was significantly lower in SGA10 pregnancies (P=0.02) and remained significant in adjusted models, but failed to significantly improve the predictive performance of the models as measured by AUC (P>0.3). PP13 was not associated with SGA10 (P=0.99). Direct assessment of placental size and shape with 3-dimensional ultrasound can serve as the foundation upon which to build a multivariable model for the early prediction of SGA.
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DOI:
10.1034/j.1600-0412.1998.770611.x
发表时间:
1998-07-01
影响因子:
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作者:
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影响因子:
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