Long-term cardiometabolic health in people born after assisted reproductive technology: a multi-cohort analysis-Reference-Cited by-同舟云学术

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

Published:2023-02-06 Issue:16 Volume:44 Page:1464-1473
ISSN:0195-668X
Container-title:European Heart Journal
language:en
Short-container-title:

Author:

Elhakeem Ahmed¹²^ORCID,Taylor Amy E¹²³,Inskip Hazel M⁴^ORCID,Huang Jonathan Y⁵⁶^ORCID,Mansell Toby⁷⁸^ORCID,Rodrigues Carina⁹¹⁰,Asta Federica¹¹,Blaauwendraad Sophia M¹²¹³,Håberg Siri E¹⁴^ORCID,Halliday Jane⁷⁸,Harskamp-van Ginkel Margreet W¹⁵^ORCID,He Jian-Rong¹⁶,Jaddoe Vincent W V¹³¹²^ORCID,Lewis Sharon⁷⁸,Maher Gillian M¹⁷¹⁸^ORCID,Manios Yannis¹⁹²⁰,McCarthy Fergus P¹⁸²¹^ORCID,Reiss Irwin K M¹³,Rusconi Franca²²^ORCID,Salika Theodosia⁴,Tafflet Muriel²³^ORCID,Qiu Xiu¹⁶,Åsvold Bjørn O²⁴²⁵²⁶,Burgner David⁷²⁷²⁸^ORCID,Chan Jerry K Y²⁹³⁰,Gagliardi Luigi²²^ORCID,Gaillard Romy¹²¹³^ORCID,Heude Barbara²³^ORCID,Magnus Maria C¹⁴^ORCID,Moschonis George³¹,Murray Deirdre¹⁸³²,Nelson Scott M³³³^ORCID,Porta Daniela¹¹,Saffery Richard⁷⁸^ORCID,Barros Henrique⁹¹⁰,Eriksson Johan G⁵³⁴³⁵³⁶^ORCID,Vrijkotte Tanja G M¹⁵^ORCID,Lawlor Deborah A¹²³

Affiliation:

1. MRC Integrative Epidemiology Unit at the University of Bristol , Bristol , UK

2. Population Health Science, Bristol Medical School, University of Bristol , Bristol , UK

3. NIHR Bristol Biomedical Research Centre , Bristol , UK

4. MRC Lifecourse Epidemiology Centre, University of Southampton , Southampton , UK

5. Singapore Institute for Clinical Science, Agency for Science, Technology, and Research , Singapore , Singapore

6. Duke-NUS Medical School, Centre for Quantitative Medicine, Singapore , Singapore

7. Murdoch Children’s Research Institute, Royal Children’s Hospital , Parkville, VIC , Australia

8. University of Melbourne , Parkville, VIC , Australia

9. EPIUnit—Instituto de Saúde Pública, Universidade do Porto , Porto , Portugal

10. Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR) , Porto , Portugal

11. Department of Epidemiology, Lazio Regional Health Service , Rome , Italy

12. The Generation R Study Group, Erasmus MC, University Medical Center , Rotterdam , The Netherlands

13. Department of Paediatrics, Erasmus MC, University Medical Center , Rotterdam , The Netherlands

14. Centre for Fertility and Health, Norwegian Institute of Public Health , Oslo , Norway

15. Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam , Amsterdam , The Netherlands

16. Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University , Guangzhou , China

17. School of Public Health, University College Cork , Cork , Ireland

18. The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork , Cork , Ireland

19. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University , Athens , Greece

20. Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre , Heraklion , Greece

21. Department of Obstetrics and Gynaecology, University College Cork , Cork , Ireland

22. Department of Mother and Child Health, Ospedale Versilia, Viareggio, AUSL Toscana Nord Ovest , Pisa , Italy

23. Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS) , Paris , France

24. K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology , Trondheim , Norway

25. HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology , Levanger , Norway

26. Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital , Trondheim , Norway

27. Department of Paediatrics, University of Melbourne , Parkville, VIC , Australia

28. Department of Paediatrics, Monash University , Clayton, VIC , Australia

29. Department of Reproductive Medicine, KK Women’s and Children’s Hospital , Singapore , Singapore

30. Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School , Singapore , Singapore

31. Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, College of Science, Health and Engineering, La Trobe University , Melbourne , Australia

32. Department of Pediatrics and Child Health, University College Cork , Cork , Ireland

33. School of Medicine, University of Glasgow , Glasgow , UK

34. Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore , Singapore , Singapore

35. Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital , Helsinki , Finland

36. Folkhälsan Research Center , Helsinki , Finland

Abstract

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 and results Differences in systolic (SBP) and diastolic blood pressure (DBP), heart rate (HR), lipids, and hyperglycaemic/insulin resistance 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.

Funder

European Research Council

UK Medical Research Council

British Heart Foundation

Bristol National Institute of Health Research Biomedical Research Centre

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

Link

https://academic.oup.com/eurheartj/article-pdf/44/16/1464/50050616/ehac726.pdf

Reference58 articles.