Multicenter screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation: comparison with NICE guidelines and ACOG recommendations

Wiley - Tập 49 Số 6 - Trang 756-760 - 2017
N. O’Gorman1, D. Wright2, Liona C. Poon3,1, Daniel L. Rolnik1, Argyro Syngelaki1, M. De Alvarado1,4, Ilma Floriana Carbone5, Vivien Dütemeyer6, M. Fiolna1,7, Alexander Frick1,8, N. Karagiotis1, S. Mastrodima1,9, C. de Paco Matallana10, George Papaioannou11, Andrea Pazos12, W. Plasencia13, K. H. Nicolaides1
1Harris Birthright Center for Fetal Medicine King's College Hospital London UK
2Institute of Health Research, University of Exeter, Exeter, UK
3Chinese University of Hong Kong, Hong Kong, China
4Homerton University Hospital, London, UK
5Ospedale Maggiore Policlinico, Milan, Italy
6Centre Hospitalier Universitaire Brugmann, Université Libre de Bruxelles, Brussels, Belgium
7Medway Maritime Hospital , Gillingham, UK
8Lewisham University Hospital, London, UK
9North Middlesex University Hospital, London, UK
10Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
11Attikon University Hospital, Athens, Greece
12Hospital Universitario San Cecilio, Granada, Spain
13Hospiten Group, Tenerife, Canary Islands, Spain

Tóm tắt

ABSTRACTObjectiveTo compare the performance of screening for pre‐eclampsia (PE) based on risk factors from medical history, as recommended by NICE and ACOG, with the method proposed by The Fetal Medicine Foundation (FMF), which uses Bayes' theorem to combine the a‐priori risk from maternal factors, derived by a multivariable logistic model, with the results of various combinations of biophysical and biochemical measurements.MethodsThis was a prospective multicenter study of screening for PE in 8775 singleton pregnancies at 11–13 weeks' gestation. A previously published FMF algorithm was used for the calculation of patient‐specific risk of PE in each individual. The detection rates (DRs) and false‐positive rates (FPRs) for delivery with PE < 32, < 37 and ≥ 37 weeks were estimated and compared with those derived from application of NICE guidelines and ACOG recommendations. According to NICE, all high‐risk pregnancies should be offered low‐dose aspirin. According to ACOG, use of aspirin should be reserved for women with a history of PE in at least two previous pregnancies or PE requiring delivery < 34 weeks' gestation.ResultsIn the study population, 239 (2.7%) cases developed PE, of which 17 (0.2%), 59 (0.7%) and 180 (2.1%) developed PE < 32, < 37 and ≥ 37 weeks, respectively. Screening with use of the FMF algorithm based on a combination of maternal factors, mean arterial pressure (MAP), uterine artery pulsatility index (UtA‐PI) and serum placental growth factor (PlGF) detected 100% (95% CI, 80–100%) of PE < 32 weeks, 75% (95% CI, 62–85%) of PE < 37 weeks and 43% (95% CI, 35–50%) of PE ≥ 37 weeks, at a 10.0% FPR. Screening with use of NICE guidelines detected 41% (95% CI, 18–67%) of PE < 32 weeks, 39% (95% CI, 27–53%) of PE < 37 weeks and 34% (95% CI, 27–41%) of PE ≥ 37 weeks, at 10.2% FPR. Screening with use of ACOG recommendations detected 94% (95% CI, 71–100%) of PE < 32 weeks, 90% (95% CI, 79–96%) of PE < 37 weeks and 89% (95% CI, 84–94%) of PE ≥ 37 weeks, at 64.2% FPR. Screening based on the ACOG recommendations for use of aspirin detected 6% (95% CI, 1–27%) of PE < 32 weeks, 5% (95% CI, 2–14%) of PE < 37 weeks and 2% (95% CI, 0.3–5%) of PE ≥ 37 weeks, at 0.2% FPR.ConclusionPerformance of screening for PE at 11–13 weeks' gestation by the FMF algorithm using a combination of maternal factors, MAP, UtA‐PI and PlGF, is by far superior to the methods recommended by NICE and ACOG. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.

Từ khóa


Tài liệu tham khảo

National Collaborating Centre for Women's and Children's Health (UK), 2010, Hypertension in Pregnancy: The Management of Hypertensive Disorders During Pregnancy

10.1097/AOG.0000000000001049

American College of Obstetricians and Gynecologists. Task Force on hypertension in pregnancy, 2013, The American College of Obstetricians and Gynecologists, 1122

10.1016/j.ajog.2015.02.018

10.1016/j.ajog.2015.08.034

10.1002/uog.17399

10.1159/000335366

10.1002/uog.5157

10.1002/uog.14783

10.1002/uog.14789

10.1002/uog.14870

10.1002/uog.14811

10.3109/10641950109152635

R Development Core Team, 2011, R. A language and environment for statistical computing

10.1159/000324320

10.1097/AOG.0b013e3181e9322a

10.1002/uog.12421

10.1159/000336662