Angiopoietin 1 and 2 serum concentrations in first trimester of pregnancy as biomarkers of adverse pregnancy outcomes
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Open Access
Type
ArticleAuthor/s
Schneuer, Francisco J.Roberts, Christine L.
Ashton, Anthony W.
Guilbert, Cyrille
Tasevski, Vitomir
Morris, Jonathan M.
Nassar, Natasha
Abstract
Objective: To assess Ang-1, Ang-2 and the Ang-1/Ang-2 ratio levels in the first trimester of pregnancy, their association with adverse pregnancy outcomes; and their predictive accuracy. Study Design: This cohort study measured serum Ang-1 and Ang-2 levels in 4,785 women with singleton ...
See moreObjective: To assess Ang-1, Ang-2 and the Ang-1/Ang-2 ratio levels in the first trimester of pregnancy, their association with adverse pregnancy outcomes; and their predictive accuracy. Study Design: This cohort study measured serum Ang-1 and Ang-2 levels in 4,785 women with singleton pregnancies attending first trimester screening in New South Wales, Australia. Multivariate logistic regression models were used to assess the association and predictive accuracy of serum biomarkers with subsequent adverse pregnancy outcomes (small for gestational age, preterm birth, preeclampsia, miscarriage >10 weeks and stillbirth). Results: Median (interquartile range) levels for Ang-1, Ang-2 and the Ang-1/Ang-2 ratio for the total population were 19.6 ng/ml (13.6-26.4), 15.5 ng/ml (10.3-22.7) and 1.21 (0.83-1.73), respectively. Maternal age, weight, country of birth and socio-economic status significantly affected Ang-1, Ang-2 and the Ang-1/Ang-2 ratio levels. After adjusting for maternal and clinical risk factors, women with low Ang-2 levels (<10th centile) and high Ang-1/Ang-2 ratio (>90th centile) had increased risk of developing most adverse pregnancy outcomes. Compared to the Ang-1/Ang-2 ratio alone, maternal and clinical risk factors had better predictive accuracy for most adverse pregnancy outcomes. The exception was miscarriage [Ang-1/Ang-2 ratio area under ROC curve (AUC) =0.70; maternal risk factors AUC =0.58]. Overall, adding the Ang-1/Ang-2 ratio to maternal risk factors did not improve the ability of the models to predict adverse pregnancy outcomes. Conclusions: Our findings suggest that the Ang-1/Ang-2 ratio in first trimester is associated with most adverse pregnancy outcomes, but do not predict outcomes any better than clinical and maternal risk factor information.
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See moreObjective: To assess Ang-1, Ang-2 and the Ang-1/Ang-2 ratio levels in the first trimester of pregnancy, their association with adverse pregnancy outcomes; and their predictive accuracy. Study Design: This cohort study measured serum Ang-1 and Ang-2 levels in 4,785 women with singleton pregnancies attending first trimester screening in New South Wales, Australia. Multivariate logistic regression models were used to assess the association and predictive accuracy of serum biomarkers with subsequent adverse pregnancy outcomes (small for gestational age, preterm birth, preeclampsia, miscarriage >10 weeks and stillbirth). Results: Median (interquartile range) levels for Ang-1, Ang-2 and the Ang-1/Ang-2 ratio for the total population were 19.6 ng/ml (13.6-26.4), 15.5 ng/ml (10.3-22.7) and 1.21 (0.83-1.73), respectively. Maternal age, weight, country of birth and socio-economic status significantly affected Ang-1, Ang-2 and the Ang-1/Ang-2 ratio levels. After adjusting for maternal and clinical risk factors, women with low Ang-2 levels (<10th centile) and high Ang-1/Ang-2 ratio (>90th centile) had increased risk of developing most adverse pregnancy outcomes. Compared to the Ang-1/Ang-2 ratio alone, maternal and clinical risk factors had better predictive accuracy for most adverse pregnancy outcomes. The exception was miscarriage [Ang-1/Ang-2 ratio area under ROC curve (AUC) =0.70; maternal risk factors AUC =0.58]. Overall, adding the Ang-1/Ang-2 ratio to maternal risk factors did not improve the ability of the models to predict adverse pregnancy outcomes. Conclusions: Our findings suggest that the Ang-1/Ang-2 ratio in first trimester is associated with most adverse pregnancy outcomes, but do not predict outcomes any better than clinical and maternal risk factor information.
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Date
2014-01-01Publisher
American Journal of Obstetrics and GynecologyCitation
American Journal of Obstetrics and Gynecology 2014, 210(4):345.e341-345.e349.Share