Literature DB >> 20440736

Prediction of adverse pregnancy outcomes by combinations of first and second trimester biochemistry markers used in the routine prenatal screening of Down syndrome.

Tianhua Huang1, Barry Hoffman, Wendy Meschino, John Kingdom, Nanette Okun.   

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.

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Year:  2010        PMID: 20440736     DOI: 10.1002/pd.2505

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  20 in total

1.  Population-based biomarker screening and the development of severe preeclampsia in California.

Authors:  Véronique Taché; Rebecca J Baer; Robert J Currier; Chin-Shang Li; Dena Towner; L Elaine Waetjen; Laura L Jelliffe-Pawlowski
Journal:  Am J Obstet Gynecol       Date:  2014-03-14       Impact factor: 8.661

2.  Predictive values of maternal serum PAPP-A level, uterine artery Doppler velocimetry, and fetal biometric measurements for poor pregnancy and poor neonatal outcomes in pregnant women.

Authors:  Serdar Balcı
Journal:  J Turk Ger Gynecol Assoc       Date:  2016-09-01

3.  The role of unexplained high serum alpha-fetoprotein (AFP) and human chorionic gonadotropin (hCG) levels in the second trimester to determine poor obstetric outcomes.

Authors:  Hümeyra Öztürk; Salim Erkaya; Sibel Altınbaş; Burak Karadağ; Nazan Vanlı Tonyalı; Demet Özkan
Journal:  Turk J Obstet Gynecol       Date:  2014-09-15

4.  Mid-trimester amniotic fluid pro-inflammatory biomarkers predict the risk of spontaneous preterm delivery in twins: a retrospective cohort study.

Authors:  S M Lee; J S Park; E R Norwitz; S Oh; E J Kim; S M Kim; J Lee; B J Kim; C-W Park; J K Jun
Journal:  J Perinatol       Date:  2015-04-09       Impact factor: 2.521

5.  Maternal estriol concentrations in early gestation predict infant telomere length.

Authors:  Sonja Entringer; Elissa S Epel; Jue Lin; Elizabeth H Blackburn; Claudia Buss; Hyagriv N Simhan; Pathik D Wadhwa
Journal:  J Clin Endocrinol Metab       Date:  2015-01       Impact factor: 5.958

6.  Maternal characteristics and mid-pregnancy serum biomarkers as risk factors for subtypes of preterm birth.

Authors:  L L Jelliffe-Pawlowski; R J Baer; Y J Blumenfeld; K K Ryckman; H M O'Brodovich; J B Gould; M L Druzin; Y Y El-Sayed; D J Lyell; D K Stevenson; G M Shaw; R J Currier
Journal:  BJOG       Date:  2015-06-26       Impact factor: 6.531

7.  Prediction of adverse pregnancy outcomes by extreme values of first trimester screening markers.

Authors:  Marina S Gomes; Mariana Carlos-Alves; Vera Trocado; Diana Arteiro; Paula Pinheiro
Journal:  Obstet Med       Date:  2017-05-16

8.  Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.

Authors:  John Allotey; Kym Ie Snell; Melanie Smuk; Richard Hooper; Claire L Chan; Asif Ahmed; Lucy C Chappell; Peter von Dadelszen; Julie Dodds; Marcus Green; Louise Kenny; Asma Khalil; Khalid S Khan; Ben W Mol; Jenny Myers; Lucilla Poston; Basky Thilaganathan; Anne C Staff; Gordon Cs Smith; Wessel Ganzevoort; Hannele Laivuori; Anthony O Odibo; Javier A Ramírez; John Kingdom; George Daskalakis; Diane Farrar; Ahmet A Baschat; Paul T Seed; Federico Prefumo; Fabricio da Silva Costa; Henk Groen; Francois Audibert; Jacques Masse; Ragnhild B Skråstad; Kjell Å Salvesen; Camilla Haavaldsen; Chie Nagata; Alice R Rumbold; Seppo Heinonen; Lisa M Askie; Luc Jm Smits; Christina A Vinter; Per M Magnus; Kajantie Eero; Pia M Villa; Anne K Jenum; Louise B Andersen; Jane E Norman; Akihide Ohkuchi; Anne Eskild; Sohinee Bhattacharya; Fionnuala M McAuliffe; Alberto Galindo; Ignacio Herraiz; Lionel Carbillon; Kerstin Klipstein-Grobusch; SeonAe Yeo; Helena J Teede; Joyce L Browne; Karel Gm Moons; Richard D Riley; Shakila Thangaratinam
Journal:  Health Technol Assess       Date:  2020-12       Impact factor: 4.014

9.  Mid-trimester maternal serum HCG and alpha fetal protein levels: clinical significance and prediction of adverse pregnancy outcome.

Authors:  Georgios Androutsopoulos; Panagiotis Gkogkos; Georgios Decavalas
Journal:  Int J Endocrinol Metab       Date:  2013-04-01

10.  Hyperemesis gravidarum and risks of placental dysfunction disorders: a population-based cohort study.

Authors:  M Bolin; H Åkerud; S Cnattingius; O Stephansson; A K Wikström
Journal:  BJOG       Date:  2013-01-30       Impact factor: 6.531

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