Premium
Prediction of adverse pregnancy outcomes by combinations of first and second trimester biochemistry markers used in the routine prenatal screening of Down syndrome
Author(s) -
Huang Tianhua,
Hoffman Barry,
Meschino Wendy,
Kingdom John,
Okun Nanette
Publication year - 2010
Publication title -
prenatal diagnosis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.956
H-Index - 97
eISSN - 1097-0223
pISSN - 0197-3851
DOI - 10.1002/pd.2505
Subject(s) - medicine , pregnancy , obstetrics , pregnancy associated plasma protein a , odds ratio , gestation , adverse effect , retrospective cohort study , fetus , down syndrome , first trimester , gynecology , biology , genetics , psychiatry
Abstract Objective To investigate the associations between four defined adverse pregnancy outcomes and levels of first and second trimester maternal serum markers focusing in particular on how well combinations of markers predict these adverse outcomes. Methods This was a retrospective review of associations between first and second trimester serum markers and adverse pregnancy outcomes among 141 698 women who underwent prenatal screening for Down syndrome in Ontario, Canada. Detection rates (DR), false positive rates (FPR), and odds ratios were estimated using both single and combinations of markers for the adverse outcomes defined. Results Women with decreased second trimester unconjugated oestriol (uE3), deceased first trimester maternal serum pregnancy‐associated plasma protein A (PAPP‐A), increased second trimester serum alpha fetoprotein (AFP), or increased second trimester total human chorionic gonadotrophin (hCG) were at greater risk of developing adverse pregnancy outcomes. At a 5% FPR, combinations of these markers predicted at best 33.3% of fetal loss and 31.5% of preterm births (PTB) before 32 weeks of gestation. Conclusion There are significant associations between the levels of first and second trimester serum markers and adverse obstetric outcomes. However, even combinations of these markers can only predict adverse obstetric outcomes with modest accuracy. Copyright © 2010 John Wiley & Sons, Ltd.