The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Competing Risks Model in Early Screening for Preeclampsia by Biophysical and Biochemical Markers
Open accessAbstract
Objective: To develop models for prediction of preeclampsia (PE) based on maternal characteristics, biophysical and biochemical markers at 11–13 weeks’ gestation in which the gestation at the time of delivery for PE is treated as a continuous variable. Methods: This was a screening study of singleton pregnancies at 11–13 weeks including 1,426 (2.4%) that subsequently developed PE and 57,458 that were unaffected by PE. We developed a survival time model for the time of delivery for PE in which Bayes’ theorem was used to combine the prior information from maternal characteristics with uterine artery pulsatility index (PI), mean arterial pressure (MAP), serum pregnancy-associated plasma protein-A (PAPP-A) and placental growth factor (PLGF) multiple of the median (MoM) values. Results: In pregnancies with PE, there was a linear correlation between MoM values of uterine artery PI, MAP, PAPP-A and PLGF with gestational age at delivery and therefore the deviation from normal was greater for early than late PE for all four biomarkers. Screening by maternal characteristics, biophysical and biochemical markers detected 96% of cases of PE requiring delivery before 34 weeks and 54% of all cases of PE at a fixed false-positive rate of 10%. Conclusions: A new model has been developed for effective first-trimester screening for PE.
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Cites
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The Global Impact of Pre-eclampsia and Eclampsia
Duley, L. (2009) · Seminars in Perinatology · doi:10.1053/j.semperi.2009.02.010 · Cited by 2,866
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First-Trimester Prediction of Hypertensive Disorders in Pregnancy
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Self-citationAkolekar, R., Syngelaki, A., Sarquis, R., Zvanca, M., & Nicolaides, K. H. (2011) · Prenatal Diagnosis · doi:10.1002/pd.2660 · Cited by 444
Self-citationUterine artery Doppler at 11 + 0 to 13 + 6 weeks in the prediction of pre‐eclampsia
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Self-citationRoberge, S., Villa, P., Nicolaides, K., Giguère, Y., Vainio, M., Bakthi, A., Ebrashy, A., & Bujold, E. (2012) · Fetal Diagnosis and Therapy · doi:10.1159/000336662 · Cited by 381
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Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia
Rolnik, D. L., Wright, D., Poon, L. C., O’Gorman, N., Syngelaki, A., de Paco Matallana, C., Akolekar, R., Cicero, S., Janga, D., Singh, M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1704559 · Cited by 2,287
Self-citationO’Gorman, N., Wright, D., Syngelaki, A., Akolekar, R., Wright, A., Poon, L. C., & Nicolaides, K. H. (2016) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2015.08.034 · Cited by 629
Self-citationScreening for pre-eclampsia by maternal factors and biomarkers at 11–13 weeks’ gestation
Tan, M. Y., Syngelaki, A., Poon, L. C., Rolnik, D. L., O'Gorman, N., Delgado, J. L., Akolekar, R., Konstantinidou, L., Tsavdaridou, M., Galeva, S., et al. (2018) · Ultrasound in Obstetrics & Gynecology · doi:10.1002/uog.19112 · Cited by 438
Self-citationMeher, S., Duley, L., Hunter, K., & Askie, L. (2017) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2016.10.016 · Cited by 239
Henderson, J. T., Vesco, K. K., Senger, C. A., Thomas, R. G., & Redmond, N. (2021) · JAMA · doi:10.1001/jama.2021.8551 · Cited by 227
Metadata
- Authors
- Akolekar, R., Syngelaki, A., Poon, L., Wright, D., & Nicolaides, K. H.
- Venue
- Fetal Diagnosis and Therapy
- Publisher
- S. Karger AG
- Published
- 2012-08-16
- Volume
- 33
- Issue
- 1
- Pages
- 8-15
- ISSN
- 1015-3837 (ISSN-L)
- 1421-9964
- OpenAlex
- W2171322051
- Cited by
- 601
- References
- 27
- FWCI
- 47.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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