1. Early prediction of preeclampsia and small-for-gestational-age via multi-marker model in Chinese pregnancies: a prospective screening study
- Author
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Weibin Yang, Sifan Zeng, Wen-Ya Li, Qiao-Bin Chen, Jing Zhang, Min Long, Luhao Han, Li-Zhen Zeng, Wei Li, and Jie Lei
- Subjects
Placental growth factor ,Pregnancy-associated plasma protein A ,Pregnancy Proteins ,0302 clinical medicine ,Pre-Eclampsia ,Pregnancy ,Prenatal Diagnosis ,Pregnancy-Associated Plasma Protein-A ,Medicine ,Prospective Studies ,030212 general & internal medicine ,reproductive and urinary physiology ,Aspirin ,030219 obstetrics & reproductive medicine ,Obstetrics ,Obstetrics and Gynecology ,Risk prediction ,female genital diseases and pregnancy complications ,Infant, Small for Gestational Age ,embryonic structures ,Female ,Research Article ,medicine.drug ,Adult ,China ,medicine.medical_specialty ,Reproductive medicine ,lcsh:Gynecology and obstetrics ,Preeclampsia ,03 medical and health sciences ,Small-for-gestational-age ,Predictive Value of Tests ,Humans ,False Positive Reactions ,First-trimester screening ,lcsh:RG1-991 ,Placenta Growth Factor ,Chinese ,Receiver operating characteristic ,business.industry ,Infant, Newborn ,medicine.disease ,Pregnancy Trimester, First ,ROC Curve ,Feasibility Studies ,Small for gestational age ,False positive rate ,business ,Biomarkers - Abstract
Background Recent evidence suggests early screening of preeclampsia and small-for-gestational-age (SGA) would benefit pregnancies followed by subsequent prophylactic use of aspirin. Multi-marker models have shown capability of predicting preeclampsia and SGA in first trimester. Yet the clinical feasibility of combined screening model for Chinese pregnancies has not been fully assessed. The aim of this study is to evaluate the applicability of a multi-marker screening model to the prediction of preeclampsia and SGA in first trimester particularly among Chinese population. Methods Three thousand two hundred seventy pregnancies meeting the inclusion criteria took first-trimester screening of preeclampsia and SGA. A prior risk based on maternal characteristics was evaluated, and a posterior risk was assessed by combining prior risk with multiple of median (MoM) values of mean arterial pressure (MAP), serum placental growth factor (PLGF) and pregnancy associated plasma protein A (PAPP-A). Both risks were calculated by Preeclampsia PREDICTOR™ software, Perkin Elmer. Screening performance of prior and posterior risks for early and late preeclampsia by using PREDICTOR software was shown by Receiver Operating Characteristics (ROC) curves. The estimation of detection rates and false positive rates of delivery with both preeclampsia and SGA was made. Results Eight cases developed early preeclampsia (0.24%) and 35 were diagnosed as late preeclampsia (1.07%). Five with early preeclampsia and ten with late preeclampsia later delivered SGA newborns (0.46%); 84 without preeclampsia gave birth to the SGAs (2.57%). According to ROC curves, posterior risks performed better than prior risks in terms of preeclampsia, especially in early preeclampsia. At 10% false positive rate, detection rates of early and late preeclampsia were 87.50 and 48.57%, detection rates of early and late SGA were 41.67 and 28.00%, respectively. For SGA, detection rates in cases with preeclampsia were much higher than those in absence of it. Conclusions This study demonstrates that combined screening model could be useful for predicting early preeclampsia in Chinese pregnancies. Furthermore, the performance of SGA screening by same protocol is strongly associated with preeclampsia. Electronic supplementary material The online version of this article (10.1186/s12884-019-2455-8) contains supplementary material, which is available to authorized users.
- Published
- 2019
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