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Long-term cardiometabolic health in people born after assisted reproductive technology: a multi-cohort analysis

  • Ahmed Elhakeem
  • , Amy E. Taylor
  • , Hazel M. Inskip
  • , Jonathan Y. Huang
  • , Toby Mansell
  • , Carina Rodrigues
  • , Federica Asta
  • , Sophia M. Blaauwendraad
  • , Siri E. Håberg
  • , Jane Halliday
  • , Margreet W. Harskamp-Van Ginkel
  • , Jian Rong He
  • , Vincent W.V. Jaddoe
  • , Sharon Lewis
  • , Gillian M. Maher
  • , Yannis Manios
  • , Fergus P. McCarthy
  • , Irwin K.M. Reiss
  • , Franca Rusconi
  • , Theodosia Salika
  • Muriel Tafflet, Xiu Qiu, Bjørn O. Åsvold, David Burgner, Jerry K.Y. Chan, Luigi Gagliardi, Romy Gaillard, Barbara Heude, Maria C. Magnus, George Moschonis, Deirdre Murray, Scott M. Nelson, Daniela Porta, Richard Saffery, Henrique Barros, Johan G. Eriksson, Tanja G.M. Vrijkotte, Deborah A. Lawlor
  • University of Bristol
  • NIHR Bristol Biomedical Research Centre
  • MRC Lifecourse Epidemiology Unit
  • Agency for Science, Technology and Research, Singapore
  • Duke-NUS Medical School
  • Royal Children's Hospital Melbourne
  • University of Melbourne
  • University of Porto
  • Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR)
  • Department of Epidemiology Lazio Regional Health Service
  • Erasmus University Rotterdam
  • Norwegian Institute of Public Health
  • University of Amsterdam
  • Guangzhou Medical College
  • Harokopio University
  • Hellenic Mediterranean University
  • Ospedale Versilia
  • Université Paris Cité
  • Norwegian University of Science and Technology
  • Monash University
  • KK Women's and Children's Hospital
  • La Trobe University
  • University of Glasgow
  • National University of Singapore
  • University of Helsinki
  • Folkhalsan

Research output: Contribution to journalArticlepeer-review

Abstract

Aims To examine associations of assisted reproductive technology (ART) conception (vs. natural conception: NC) with offspring cardiometabolic health outcomes and whether these differ with age Methods Differences in systolic (SBP) and diastolic blood pressure (DBP), heart rate (HR), lipids, and hyperglycaemic/insulin resistance and results markers were examined using multiple linear regression models in 14 population-based birth cohorts in Europe, Australia, and Singapore, and results were combined using meta-analysis. Change in cardiometabolic outcomes from 2 to 26 years was examined using trajectory modelling of four cohorts with repeated measures. 35 938 (654 ART) offspring were included in the meta-analysis. Mean age ranged from 13 months to 27.4 years but was <10 years in 11/14 cohorts. Meta-analysis found no statistical difference (ART minus NC) in SBP (−0.53 mmHg; 95% CI:−1.59 to 0.53), DBP (−0.24 mmHg; −0.83 to 0.35), or HR (0.02 beat/min; −0.91 to 0.94). Total cholesterol (2.59%; 0.10–5.07), HDL cholesterol (4.16%; 2.52–5.81), LDL cholesterol (4.95%; 0.47–9.43) were statistically significantly higher in ART-conceived vs. NC offspring. No statistical difference was seen for triglycerides (TG), glucose, insulin, and glycated haemoglobin. Long-term follow-up of 17 244 (244 ART) births identified statistically significant associations between ART and lower predicted SBP/DBP in childhood, and subtle trajectories to higher SBP and TG in young adulthood; however, most differences were not statistically significant Conclusion These findings of small and statistically non-significant differences in offspring cardiometabolic outcomes should reassure people receiving ART. Longer-term follow-up is warranted to investigate changes over adulthood in the risks of hypertension, dyslipidaemia, and preclinical and clinical cardiovascular disease.

Original languageEnglish
Pages (from-to)1464-1473
Number of pages10
JournalEuropean Heart Journal
Volume44
Issue number16
DOIs
Publication statusPublished - 21 Apr 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Blood pressure
  • Glucose
  • In vitro fertilization
  • Lipids
  • Meta-analysis
  • Pooled longitudinal trajectory analysis

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