Prediction of early and late pre-eclampsia from maternal characteristics, uterine artery Doppler and markers of vasculogenesis during first trimester of pregnancy
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Parra Cordero, Mauro
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Prediction of early and late pre-eclampsia from maternal characteristics, uterine artery Doppler and markers of vasculogenesis during first trimester of pregnancy
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Abstract
Objective To develop a predictive model for preeclampsia
using clinical, biochemical and ultrasound
markers during the first trimester of pregnancy.
Methods This was a nested case–control study within
a pre-eclampsia screening project that involved 5367
asymptomatic pregnant women undergoing routine
transvaginal uterine artery (UtA) Doppler at 11+0
to 13+6weeks. Following exclusions, there were 70
pregnant women who later developed pre-eclampsia
and 289 control patients enrolled during the first
trimester who had serum or plasma samples taken at
enrolment available for the purposes of this study. Of
these, 17 pregnancies were diagnosed with early-onset
(delivery<34 weeks) pre-eclampsia and 53 with lateonset
(delivery≥34 weeks) pre-eclampsia. The lowest,
highest and mean of left and right UtA pulsatility
indices (PI) were calculated. Blood samples were stored
at −84 ◦C until biochemical analysis for markers of
vasculogenesis was performed. The distributions of the
lowest UtA-PI and the biochemical markers were adjusted
for maternal characteristics, expressed as multiples of the
median (MoM), and compared between groups. Logistic
regression analysis was used to evaluate if any variable
was significantly associated with pre-eclampsia.
Results Pregnancies that later developed pre-eclampsia
were associated with higher maternal prepregnancy
body mass index. An increased lowest UtA-PI was
significantly associated with both early- and late-onset
disease. Placental growth factor (PlGF) MoM was
significantly reduced in women who later developed
early- or late-onset pre-eclampsia compared with controls
(median (interquartile range), 0.69 (0.33–1.46) and 1.10 (0.39–1.56), respectively, vs 1.19 (0.65–1.84), P<0.05).
Different combined models were generated by logistic
regression analysis, and the detection rate with a fixed
10% false-positive rate was 47% and 29% for early- and
late-onset pre-eclampsia, respectively.
Conclusion Pregnancies that later developed early or
late pre-eclampsia were characterized by impaired
placentation and an anti-angiogenic state during the
first trimester of pregnancy. Regression models which
include maternal characteristics, UtA Doppler and PlGF
can apparently predict approximately half of pregnancies
that will be complicated by early-onset pre-eclampsia.We
believe more research in several areas is needed to aid
in the creation of a better and more population-specific
screening test for pre-eclampsia during the first trimester
of pregnancy.
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URI: https://repositorio.uchile.cl/handle/2250/129297
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Ultrasound Obstet Gynecol 2013; 41: 538–544
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