Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 19-24 weeks‿gestation

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• 作者：Dahiana M. Gallo ; MD^a ; David Wright ; PhD^b ; Cristina Casanova ; MD^a ; Mercedes Campanero ; MD^a ; Kypros H. Nicolaides ; MD^a ; ^{kypros@fetalmedicine.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：second-trimester screening ; preeclampsia ; pyramid of pregnancy care ; survival model ; Bayes&rsquo ; theorem ; uterine artery Doppler ; mean arterial pressure ; placental growth factor ; soluble fms-like tyrosine kinase-1
• 刊名：American Journal of Obstetrics and Gynecology
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：214
• 期：5
• 页码：619.e1-619.e17
• 全文大小：977 K

文摘

Preeclampsia (PE) affects 2–3% of all pregnancies and is a major cause of maternal and perinatal morbidity and mortality. The traditional approach to screening for PE is to use a risk-scoring system based on maternal demographic characteristics and medical history (maternal factors), but the performance of such an approach is very poor.

Objective

To develop a model for PE based on a combination of maternal factors with second-trimester biomarkers.

3">Study Design

The data for this study were derived from prospective screening for adverse obstetric outcomes in women attending their routine hospital visit at 19–24 weeks’ gestation in 3 maternity hospitals in England between January 2006 and July 2014. We had data from maternal factors, uterine artery pulsatility index (UTPI), mean arterial pressure (MAP), serum placental growth factor (PLGF), and serum soluble fms-like tyrosine kinase-1 (SFLT) from 123,406, 67,605, 31,120, 10,828, and 8079 pregnancies, respectively. Bayes’ theorem was used to combine the a priori risk from maternal factors with various combinations of biomarker multiple of the median (MoM) values. The modeled performance of screening for PE requiring delivery at <32, <37, and ≥37 weeks’ gestation was estimated. The modeled performance was compared to the empirical one, which was derived from 5-fold cross validation. We also examined the performance of screening based on risk factors from the medical history, as recommended by the American Congress of Obstetricians and Gynecologists (ACOG).

Results

In pregnancies that developed PE, the values of MAP, UTPI, and SFLT were increased and PLGF was decreased. For all biomarkers the deviation from normal was greater for early than for late PE, and therefore the performance of screening was inversely related to the gestational age at which delivery became necessary for maternal and/or fetal indications. Screening by maternal factors predicted 52%, 47%, and 37% of PE at <32, <37, and ≥37 weeks’ gestation, respectively, at a false-positive rate of 10%. The respective values for combined screening with maternal factors and MAP, UTPI, and PLGF were 99%, 85%, and 46%; the performance was not improved by the addition of SFLT. In our population of 123,406 pregnancies, the DR of PE at <32, <37, and ≥37 weeks with the ACOG recommendations was 91%, 90%, and 91%, respectively, but at a screen positive rate of 67%.

Conclusion

30">The performance of screening for PE by maternal factors and biomarkers in the middle trimester is superior to taking a medical history.