Vascular anastomoses in intrauterine growth in monochorionic twins

J Perinat Med. 2020 Jul 28;48(6):539-543. doi: 10.1515/jpm-2020-0028.

Abstract

Objectives To evaluate the impact of placental anastomoses on the intrauterine growth of monochorionic (MC) twins. Methods A prospective study was conducted in a group of 53 MC twins. Intrapartally umbilical cords were clamped to identify placental sides corresponding to each twin. The postnatal dye injection technique was administered to evaluate vascular anastomoses, their number and type and visualize placental territory sharing patterns. Data from digital analysis were correlated with obstetrical follow-up. Results Vascular anastomoses were revealed in 88.7% of cases. Arteriovenous (AV) anastomoses occurred in 75.4% and arterioarterial (AA) in 71.1% while venovenous (VV) in 26.4%. In the subgroup of MC twins without placental anastomoses, significantly higher birthweight difference and discordance were revealed when compared to MC twins without anastomoses (382.0 vs. 22 g; P = 0.03 and 49.14% vs. 16.02%; P = 0.03). On the other hand, in subgroups of MC twins with at least one AA anastomosis, twins' birthweights were similar (p = ns) despite significantly higher placental territory sharing discordance (30.44% vs. 15.81%; P = 0.31). Conclusions Vascular anastomoses have a major impact on the intrauterine growth of MC twins. In certain cases, they may cause specific complications; however, in general, they regulate intertwin blood exchange and may compensate unequal placental territory.

Keywords: intrauterine growth; monochorionic twins; twin gestation; vascular anastomoses.

MeSH terms

  • Adult
  • Arteriovenous Anastomosis / physiopathology*
  • Birth Weight
  • Cesarean Section / statistics & numerical data
  • Chorion
  • Delivery, Obstetric
  • Female
  • Fetal Development / physiology*
  • Gestational Age
  • Humans
  • Infant, Newborn
  • Placenta / blood supply*
  • Pregnancy
  • Pregnancy, Twin*
  • Premature Birth / epidemiology
  • Prospective Studies
  • Reproductive Techniques, Assisted / statistics & numerical data