Pregnancy outcomes in nulliparous women with positive first-trimester preterm preeclampsia screening test: the Great Obstetrical Syndromes cohort study
- PMID: 32777265
- DOI: 10.1016/j.ajog.2020.08.008
Pregnancy outcomes in nulliparous women with positive first-trimester preterm preeclampsia screening test: the Great Obstetrical Syndromes cohort study
Abstract
Background: The Fetal Medicine Foundation proposed a competing risks model for early identification of women at a high risk of preterm preeclampsia, typically associated with deep placentation disorders. The Great Obstetrical Syndromes include a spectrum of pregnancy complications (preeclampsia, intrauterine growth restriction, preterm birth, late spontaneous abortion, and abruptio placentae) that are also associated with deep placentation disorders.
Objective: This study aimed to estimate the rate of placenta-mediated pregnancy complications in nulliparous women with a positive first-trimester Fetal Medicine Foundation preterm preeclampsia screening test.
Study design: We conducted a prospective cohort study of nulliparous women recruited at 11 to 14 weeks of gestation. Maternal characteristics, mean arterial blood pressure, levels of maternal serum biomarkers (pregnancy-associated plasma protein-A, placental growth factor, and soluble fms-like tyrosine kinase-1), and mean uterine artery pulsatility index were obtained to calculate the risk of preterm preeclampsia according to the Fetal Medicine Foundation algorithm. The predicted risks were dichotomized as a positive or negative test according to 2 risk cutoffs (1 in 70 and 1 in 100). The detection rate, false-positive rate, and positive and negative predictive values were calculated for placenta-mediated complications, including preeclampsia, small for gestational age (birthweight <10th percentile), fetal death, preterm birth, and a composite outcome, including any of the foregoing. The same analyses were computed for a composite of severe outcomes, including preterm preeclampsia, severe small for gestational age (less than third percentile), and fetal death.
Results: We included 4575 participants with complete observations, of whom 494 (10.8%) had an estimated risk of preterm preeclampsia of ≥1 in 70 and 728 (15.9%) had a risk of ≥1 in 100. The test based on a risk cutoff of 1 in 70 could have correctly predicted up to 27% of preeclampsia, 55% of preterm preeclampsia, 18% of small for gestational age, 24% of severe small for gestational age, and 37% of fetal deaths at a 10% false-positive rate. The test based on a cutoff of 1 in 100 could have predicted correctly up to 35% of preeclampsia, 69% of preterm preeclampsia, 25% of small for gestational age, 30% of severe small for gestational age, and 53% of fetal deaths at a 15% false-positive rate. The positive predictive value of a screening test for preterm preeclampsia of ≥1 in 70 was 3% for preterm preeclampsia, 32% for the composite outcome, and 9% for the severe composite outcome.
Conclusion: Nulliparous women with a first-trimester positive preterm preeclampsia Fetal Medicine Foundation screening test are at a higher risk of both preterm preeclampsia and other severe placenta-mediated pregnancy complications. Approximately 1 woman of 10 identified as high risk by the Fetal Medicine Foundation algorithm developed at least 1 severe placenta-mediated pregnancy complication.
Keywords: fetal death; intrauterine growth restriction; placenta-mediated complications; preeclampsia; preterm birth; risk assessment; screening; small for gestational age; validation.
Copyright © 2020 Elsevier Inc. All rights reserved.
Similar articles
-
Prospective evaluation of screening performance of first-trimester prediction models for preterm preeclampsia in an Asian population.Am J Obstet Gynecol. 2019 Dec;221(6):650.e1-650.e16. doi: 10.1016/j.ajog.2019.09.041. Epub 2019 Oct 4. Am J Obstet Gynecol. 2019. PMID: 31589866
-
Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 11-13 weeks gestation.Am J Obstet Gynecol. 2016 Jan;214(1):103.e1-103.e12. doi: 10.1016/j.ajog.2015.08.034. Epub 2015 Aug 19. Am J Obstet Gynecol. 2016. PMID: 26297382
-
First-Trimester Preterm Preeclampsia Screening in Nulliparous Women: The Great Obstetrical Syndrome (GOS) Study.J Obstet Gynaecol Can. 2021 Jan;43(1):43-49. doi: 10.1016/j.jogc.2020.06.011. Epub 2020 Jul 1. J Obstet Gynaecol Can. 2021. PMID: 32917539
-
First trimester preeclampsia screening and prediction.Am J Obstet Gynecol. 2022 Feb;226(2S):S1071-S1097.e2. doi: 10.1016/j.ajog.2020.07.020. Epub 2020 Jul 16. Am J Obstet Gynecol. 2022. PMID: 32682859 Review.
-
Screening for fetal growth restriction using fetal biometry combined with maternal biomarkers.Am J Obstet Gynecol. 2018 Feb;218(2S):S725-S737. doi: 10.1016/j.ajog.2017.12.002. Epub 2017 Dec 22. Am J Obstet Gynecol. 2018. PMID: 29275822 Review.
Cited by
-
Screening for Preeclampsia and Fetal Growth Restriction in the First Trimester in Women without Chronic Hypertension.J Clin Med. 2023 Aug 27;12(17):5582. doi: 10.3390/jcm12175582. J Clin Med. 2023. PMID: 37685649 Free PMC article.
-
Toward a new taxonomy of obstetrical disease: improved performance of maternal blood biomarkers for the great obstetrical syndromes when classified according to placental pathology.Am J Obstet Gynecol. 2022 Oct;227(4):615.e1-615.e25. doi: 10.1016/j.ajog.2022.04.015. Epub 2022 Sep 3. Am J Obstet Gynecol. 2022. PMID: 36180175 Free PMC article.
-
Disrupted mother-fetus dyad risk in high-risk pregnancies: a Middle-Range Theory.Rev Bras Enferm. 2024 Jul 29;77(3):e20230464. doi: 10.1590/0034-7167-2023-0464. eCollection 2024. Rev Bras Enferm. 2024. PMID: 39082549 Free PMC article.
-
Development and validation of a risk prediction model for spontaneous preterm birth.Am J Transl Res. 2024 Nov 15;16(11):6500-6509. doi: 10.62347/TNWA5229. eCollection 2024. Am J Transl Res. 2024. PMID: 39678591 Free PMC article.
-
Efficacy and safety of low-dose aspirin combined with low-molecular-weight heparin in treatment of preeclampsia: a meta-analysis and systematic review.Arch Med Sci. 2021 May 24;18(6):1525-1534. doi: 10.5114/aoms/136518. eCollection 2022. Arch Med Sci. 2021. PMID: 36457979 Free PMC article. Review.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous