Reviewing Accuracy of First Trimester Screening for Preeclampsia Using Maternal Factors and Biomarkers
Open accessAbstract
Preeclampsia is a common and important complication of pregnancy, one with potentially significant morbidity and even mortality to both mother and baby. Identifying those at high risk of developing the condition is helpful as there is evidence that the incidence of preeclampsia can be reduced with low dose aspirin taken in pregnancy. Accurately predicting the risk of preeclampsia allows for more targeted aspirin prophylaxis and a greater opportunity for early detection of maternal and/or fetal complications associated with impaired placentation through a schedule of enhanced antenatal surveillance. Traditional preeclampsia prediction models use maternal characteristics and risk factors and have been shown to be of low predictive value. Multiparametric screening tests combine patient characteristics with serum biomarkers and ultrasound Doppler indices and have been shown to be more effective at detecting those at high risk of preeclampsia - more specifically, early-onset preeclampsia (onset of preeclampsia <34 weeks' gestation). Multiparametric screening has now been validated in different populations. The true cost effectiveness of a multiparametric screening model for preeclampsia screening is not yet fully known and will vary depending on the clinical setting. Despite the growing body of evidence for its improved detection rates, first trimester preeclampsia screening using multiparametric models is not widely implemented and is not part of the recommendations for antenatal screening from most international bodies. The International Federation of Gynecology and Obstetrics has advised universal preeclampsia screening using maternal risk factors and biomarkers and has strongly encouraged its promotion worldwide. Various barriers to implementation must be considered such as the immediate cost of equipment and training, the need for audit and quality control, and the expected benefit to the population. Low to middle income settings may require a pragmatic approach to the implementation of multiparametric screening given limited resources.
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An association has been found between certain maternal bloodstream biomarkers and the development of preeclampsia, impaired fetal growth, and stillbirth.
“Biomarkers in the maternal bloodstream have been investigated extensively and an association has been found between certain biomarkers and the development of preeclampsia, impaired fetal growth and stillbirth16–18.”
From Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization (2023) · cites this paper as [16]
The ‘Competing Risk Model Using Multiparametric Screening Tests’ section reports that maternal serum PlGF and PAPP-A are associated with preeclampsia risk. The Introduction reports lower birth weight and increased stillbirth in pregnancies affected by early-onset preeclampsia, but does not establish an association between those outcomes and the biomarkers themselves. Page numbers were not available in our copy. (LLM, conf=0.86)
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Sorted by citations
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“Biomarkers in the maternal bloodstream have been investigated extensively and an association has been found between certain biomarkers and the development of preeclampsia, impaired fetal growth and stillbirth 16–18 .”
- Authors
- Malone, S. L., Haj Yahya, R., & Kane, S. C.
- Affiliations
- Royal Women's Hospital (AU)
- Venue
- International Journal of Women's Health
- Publisher
- Informa UK Limited
- Published
- 2022-09
- Volume
- Volume 14
- Pages
- 1371-1384
- ISSN
- 1179-1411 (ISSN-L)
- PMC
- PMC9507456
- OpenAlex
- W4296306937
- Cited by
- 32
- References
- 78
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 3 · 2023: 11
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
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- Locations
- International Journal of Women s Health (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Dove Medical Press (Taylor and Francis Group) (submittedVersion, cc-by-nc)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Health Sciences › Medicine › Psychiatry and Mental health › Neurological Complications and Syndromes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Keywords
- preeclampsia, first-trimester screening, serum biomarkers, maternal risk factors, low-dose aspirin prophylaxis, early-onset preeclampsia, barriers to screening, cost-effectiveness, low- and middle-income settings
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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