Biomarkers at 6 weeks' gestation in the prediction of early miscarriage in pregnancy following assisted reproductive technology

dc.contributor.authorGuo J.
dc.contributor.authorFeng Q.
dc.contributor.authorChaemsaithong P.
dc.contributor.authorAppiah K.
dc.contributor.authorSahota D.S.
dc.contributor.authorLeung B.W.
dc.contributor.authorChung J.P.
dc.contributor.authorLi T.C.
dc.contributor.authorPoon L.C.
dc.contributor.otherMahidol University
dc.date.accessioned2023-07-17T18:02:59Z
dc.date.available2023-07-17T18:02:59Z
dc.date.issued2023-01-01
dc.description.abstractIntroduction: Miscarriage is a major concern in early pregnancy among women having conceived with assisted reproductive treatments. This study aimed to examine potential miscarriage-related biophysical and biochemical markers at 6 weeks' gestation among women with confirmed clinical pregnancy following in vitro fertilization (IVF)/embryo transfer (ET) and evaluate the performance of a model combining maternal factors, biophysical and biochemical markers at 6 weeks' gestation in the prediction of first trimester miscarriage among singleton pregnancies following IVF/ET. Material and methods: A prospective cohort study was conducted in a teaching hospital between December 2017 and January 2020 including women who conceived through IVF/ET. Maternal mean arterial pressure, ultrasound markers including mean gestational sac diameter, fetal heart activity, crown rump length and mean uterine artery pulsatility index (mUTPI) and biochemical biomarkers including maternal serum soluble fms-like tyrosine kinase-1 (sFlt-1), placental growth factor (PlGF), kisspeptin and glycodelin-A were measured at 6 weeks' gestation. Logistic regression analysis was carried out to determine significant predictors of miscarriage prior to 13 weeks' gestation and performance of screening was estimated by receiver-operating characteristics curve analysis. Results: Among 169 included pregnancies, 145 (85.8%) pregnancies progressed to beyond 13 weeks' gestation and had live births whereas 24 (14.2%) pregnancies resulted in a miscarriage during the first trimester. In the miscarriage group, compared to the live birth group, maternal age, body mass index, and mean arterial pressure were significantly increased; mean gestational sac diameter, crown rump length, mUTPI, serum sFlt-1, glycodelin-A, and the rate of positive fetal heart activity were significantly decreased, while no significant differences were detected in PlGF and kisspeptin. Significant prediction for miscarriage before 13 weeks' gestation was provided by maternal age, fetal heart activity, mUTPI, and serum glycodelin-A. The combination of maternal age, ultrasound (fetal heart activity and mUTPI), and biochemical (glycodelin-A) markers achieved the highest area under the curve (AUC: 0.918, 95% CI 0.866–0.955), with estimated detection rates of 54.2% and 70.8% for miscarriage before 13 weeks' gestation, at fixed false positive rates of 5% and 10%, respectively. Conclusions: A combination of maternal age, fetal heart activity, mUTPI, and serum glycodelin-A at 6 weeks' gestation could effectively identify IVF/ET pregnancies at risk of first trimester miscarriage.
dc.identifier.citationActa Obstetricia et Gynecologica Scandinavica (2023)
dc.identifier.doi10.1111/aogs.14618
dc.identifier.eissn16000412
dc.identifier.issn00016349
dc.identifier.scopus2-s2.0-85163283791
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/87923
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleBiomarkers at 6 weeks' gestation in the prediction of early miscarriage in pregnancy following assisted reproductive technology
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85163283791&origin=inward
oaire.citation.titleActa Obstetricia et Gynecologica Scandinavica
oairecerif.author.affiliationPeking University Shenzhen Hospital
oairecerif.author.affiliationBeijing Tongren Hospital, Capital Medical University
oairecerif.author.affiliationFaculty of Medicine Ramathibodi Hospital, Mahidol University
oairecerif.author.affiliationChinese University of Hong Kong

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