Accuracy of competing‐risks model in screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation

Abstract

Objective: To examine the diagnostic accuracy of a previously developed model for prediction of pre‐eclampsia (PE) by a combination of maternal factors and biomarkers at 11–13 weeks' gestation. Methods: This was a prospective first‐trimester multicenter study of screening for PE in 8775 singleton pregnancies. A previously published 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 for the dataset used for development of the algorithm. Results: In 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. With combined screening by maternal factors, mean arterial pressure, uterine artery pulsatility index and serum placental growth factor, the DR was 100% (95% CI, 80–100%) for PE < 32 weeks, 75% (95% CI, 62–85%) for PE < 37 weeks and 43% (95% CI, 35–50%) for PE ≥ 37 weeks, at a 10% FPR. These DRs were similar to the estimated rates for the dataset used for development of the model: 89% (95% CI, 79–96%) for PE < 32 weeks, 75% (95% CI, 70–80%) for PE < 37 weeks and 47% (95% CI, 44–51%) for PE ≥ 37 weeks. Conclusion: Assessment of a combination of maternal factors and biomarkers at 11–13 weeks provides effective first‐trimester screening for preterm PE. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.