PLoS Medicine (Jun 2021)

Separating parental and treatment contributions to perinatal health after fresh and frozen embryo transfer in assisted reproduction: A cohort study with within-sibship analysis.

  • Kjersti Westvik-Johari,
  • Liv Bente Romundstad,
  • Deborah A Lawlor,
  • Christina Bergh,
  • Mika Gissler,
  • Anna-Karina A Henningsen,
  • Siri E Håberg,
  • Ulla-Britt Wennerholm,
  • Aila Tiitinen,
  • Anja Pinborg,
  • Signe Opdahl

DOI
https://doi.org/10.1371/journal.pmed.1003683
Journal volume & issue
Vol. 18, no. 6
p. e1003683

Abstract

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BackgroundCompared to naturally conceived children, adverse perinatal outcomes are more common among children born after assisted reproductive technology with fresh embryo transfer (fresh-ET) or frozen embryo transfer (frozen-ET). However, most previous studies could not adequately control for family confounding factors such as subfertility. We compared birth size and duration of pregnancy among infants born after fresh-ET or frozen-ET versus natural conception, using a within-sibship design to account for confounding by maternal factors.Methods and findingsThis registry-based cohort study with nationwide data from Denmark (1994-2014), Norway (1988-2015), and Sweden (1988-2015) consisted of 4,510,790 live-born singletons, 4,414,703 from natural conception, 78,095 from fresh-ET, and 17,990 from frozen-ET. We identified 33,056 offspring sibling groups with the same mother, conceived by at least 2 different conception methods. Outcomes were mean birthweight, small and large for gestational age, mean gestational age, preterm (ConclusionsWe found that infants conceived by fresh-ET had lower birthweight and increased odds of small for gestational age, and those conceived by frozen-ET had higher birthweight and increased odds of large for gestational age. Conception by either fresh-ET or frozen-ET was associated with increased odds of preterm birth. That these findings were observed within siblings, as well as in conventional multivariable population analyses, reduces the likelihood that they are explained by confounding or selection bias.Trial registrationClinicalTrials.gov ISRCTN11780826.