Can early β-human chorionic gonadotropin predict birth of singletons and twins after in vitro fertilization?

J Matern Fetal Neonatal Med. 2018 Feb;31(4):453-456. doi: 10.1080/14767058.2017.1287896. Epub 2017 Feb 21.

Abstract

Objective: To assess the predictive value for clinical pregnancy outcome of β-hCG level at 13 d after embryo transfer.

Methods: Retrospective study of IVF clinical pregnancies diagnosed at 6 weeks. We calculated the value of β-hCG level at 13 d after embryo transfer to predict live births.

Results: We analyzed 177 IVF cycles between 2009 and 2014 (50 singleton births, 50 twin births, 27 sets with a vanishing twin, 43 first trimester singleton pregnancy loss and seven first trimester total twin pregnancy loss). Singleton pregnancies with a β-hCG concentration <85 mIU/mL had an 89% risk of having a first trimester loss whereas a concentration >386 mU/mL had a 91% chance of a live birth. Twin pregnancies with a concentration <207 mIU/mL had only a 33% chance of delivering twins and a 55% risk of having a vanishing twin; whereas a level >768 mIU/mL was associated with a 81% chance of live twin birth and a low risk (19%) of having a vanishing twin. Age, type and duration of infertility, body mass index (BMI) and number of fertilized oocytes did not affect these calculations.

Conclusions: β-hCG level at 13 d after embryo transfer might predict outcomes in clinical singleton and twin pregnancies following IVF.

Keywords: assisted reproduction; pregnancy outcome; twins; vanishing twins; β-hCG.

MeSH terms

  • Abortion, Spontaneous / blood*
  • Abortion, Spontaneous / epidemiology
  • Adult
  • Biomarkers / blood
  • Chorionic Gonadotropin, beta Subunit, Human / blood*
  • Embryo Transfer
  • Female
  • Fertilization in Vitro*
  • Humans
  • Live Birth
  • Pregnancy
  • Pregnancy Outcome
  • Pregnancy Trimester, First / blood*
  • Pregnancy, Twin / blood*
  • Pregnancy, Twin / statistics & numerical data
  • Retrospective Studies

Substances

  • Biomarkers
  • Chorionic Gonadotropin, beta Subunit, Human