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Cited by 204Pregnancy and preeclampsia studiesPrenatal Screening and DiagnosticsNeurological Complications and Syndromes

Combined screening for preeclampsia and small for gestational age at 11-13 weeks

Poon, Leona C.Y., Syngelaki, Argyro, Akolekar, Ranjit, Lai, Jonathan, Nicolaides, Kypros H.·2013·Fetal Diagnosis and Therapy
DOI 10.1159/000341712
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Abstract

OBJECTIVE: To combine a specific algorithm for small for gestational age (SGA) without preeclampsia (PE) and another algorithm for PE in the prediction of SGA and PE. METHODS: This was a screening study of singleton pregnancies at 11-13 weeks including 1,426 (2.3%) that subsequently developed PE, 3,168 (5.1%) that delivered SGA neonates and 57,458 that were unaffected by PE and SGA. We developed a prediction algorithm for SGA requiring delivery before 37 weeks' gestation (preterm-SGA) from maternal characteristics, uterine artery pulsatility index, mean arterial pressure, serum pregnancy-associated plasma protein-A and placental growth factor multiple of the median values. We then examined the performance of this algorithm individually and in combination with a previously reported algorithm for early-PE in the prediction of SGA and PE. RESULTS: When screen positivity was defined by risk cutoff of 1:200 using the algorithm for early-PE and the risk cutoff of 1:150 using the algorithm for preterm-SGA, the false positive rate was 10.9% and the detection rates of early-PE, late-PE, preterm-SGA and term-SGA were 95.3, 45.6, 55.5 and 44.3%, respectively. CONCLUSIONS: Effective first-trimester screening for early-PE and preterm-SGA can be provided by the combined use of the specific algorithms.

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Crossref · 10.1159/000341712

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  • When using a combination of parameters, the detection rate of preterm-SGA and term-SGA was 55.5% and 44.3%, respectively.

    “Data have shown that when using a combination of parameters, the detection rate of preterm-SGA and term-SGA was 55.5% and 44.3%, respectively [79].”

    From First-Trimester Ultrasound: A Comparative Review of Guidelines (2026) · cites this paper as [79]

  • Predictive accuracy for SGA can be improved by considering PlaV in combination with other known risk factors including maternal characteristics, PAPP-A levels and placental growth factor levels.

    “It has also been shown that the predictive accuracy for SGA can be improved by considering PlaV in combination with other known risk factors – including maternal characteristics, PAPP-A levels and placental growth factor levels [30].”

    From Volume and vascularity: Using ultrasound to unlock the secrets of the first trimester placenta (2019) · cites this paper as [30]

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Authors
Poon, L. C. Y., Syngelaki, A., Akolekar, R., Lai, J., & Nicolaides, K. H.
Affiliations
  • University of London (GB)
  • Harris Birthright Research Centre for Fetal Medicine (GB)
ORCID
Venue
Fetal Diagnosis and Therapy
Publisher
S. Karger AG
Published
2012-09-13
Volume
33
Issue
1
Pages
16-27
ISSN
  • 1015-3837 (ISSN-L)
  • 1421-9964
DOI
10.1159/000341712
OpenAlex
W2069556392
Cited by
204
References
30
Citations by year
2026: 2 · 2025: 8 · 2024: 3 · 2023: 6 · 2022: 8 · 2021: 18 · 2020: 18 · 2019: 14 · 2018: 24 · 2017: 23 · 2016: 19 · 2015: 18 · 2014: 26 · 2013: 16 · 2012: 1
FWCI
23.44
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Fetal Diagnosis and Therapy (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
Fetal Medicine Foundation
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
  • Health Sciences › Medicine › Psychiatry and Mental health › Neurological Complications and Syndromes
Keywords
preeclampsia, small for gestational age, first-trimester screening, uterine artery pulsatility index, PAPP-A, placental growth factor, mean arterial pressure, singleton pregnancy, risk prediction
MeSH terms
Placenta Growth Factor, Adult, Algorithms, Blood Pressure, Female, United Kingdom, Humans, Infant, Newborn, Infant, Premature, Infant, Small for Gestational Age, Mass Screening, Pre-Eclampsia, Predictive Value of Tests, Pregnancy, Pregnancy Proteins, Pregnancy Trimester, First, Pregnancy-Associated Plasma Protein-A, Pulsatile Flow, ROC Curve, Ultrasonography, Logistic Models, Premature Birth, Uterine Artery

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