Abstract
Purpose
To assess the impact of elevated BMI on the success of modified natural cycle frozen embryo transfers (mNC-FET) of euploid embryos.
Methods
This retrospective cohort study at a single academic institution reviewed mNC-FET involving single euploid blastocysts from 2016 to 2020. Comparison groups were divided by pre-pregnancy BMI (kg/m2) category: normal weight (18.5–24.9), overweight (25–29.9) or obese (≥ 30). Underweight BMI (< 18.5) was excluded from the analysis. The primary outcome was live birth rate (LBR) and secondary outcome was clinical pregnancy rate (CPR), defined as presence of fetal cardiac activity on ultrasound. Absolute standardized differences (ASD) were calculated to compare descriptive variables and p-values and multivariable logistic regressions with generalized estimating equations (GEE) were used to compare pregnancy outcomes.
Results
562 mNC-FET cycles were completed in 425 patients over the study period. Overall, there were 316 transfers performed in normal weight patients, 165 in overweight patients, and 81 in obese weight patients. There was no statistically significant difference in LBR across all BMI categories (55.4% normal weight, 61.2% overweight, and 64.2% obese). There was also no difference for the secondary outcome, CPR, across all categories (58.5%, 65.5%, and 66.7%, respectively). This was confirmed in GEE analysis when adjusting for confounders.
Conclusion
While increased weight has commonly been implicated in poor pregnancy outcomes, the effect of BMI on the success of mNC-FET remains debated. Across five years of data from a single institution using euploid embryos in mNC-FET cycles, elevated BMI was not associated with reduced LBR or CPR.
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Notes
A 2000 World Health Organization (WHO) statement suggested that overweight should be defined as BMI > 23 and obesity defined as > 25 in an Asian population[18]; however, in a 2004 statement, the WHO indicated that a range of plausible BMI cut points exist and that “it would not be possible define a single set of cut points in these populations” [19]. As different guidelines continue to be proposed, the 2000 cut-offs were used for standardization in this paper.
References
Hillemeier MM, Weisman CS, Chuang C, Downs DS, McCall-Hosenfeld J, Camacho F. Transition to Overweight or Obesity Among Women of Reproductive Age. J Womens Health. 2011;20(5):703–10. https://doi.org/10.1089/jwh.2010.2397.
Ramlau-Hansen CH, Thulstrup AM, Nohr EA, Bonde JP, Sørensen TIA, Olsen J. Subfecundity in overweight and obese couples. Hum Reprod. 2007;22(6):1634–7. https://doi.org/10.1093/humrep/dem035.
van der Steeg JW, et al. Obesity affects spontaneous pregnancy chances in subfertile, ovulatory women. Hum Reprod. 2007;23(2):324–8. https://doi.org/10.1093/humrep/dem371.
Bellver J, Pellicer A, García-Velasco JA, Ballesteros A, Remohí J, Meseguer M. Obesity reduces uterine receptivity: clinical experience from 9,587 first cycles of ovum donation with normal weight donors. Fertil Steril. 2013;100(4):1050-1058.e2. https://doi.org/10.1016/j.fertnstert.2013.06.001.
Silvestris E, de Pergola G, Rosania R, Loverro G. Obesity as disruptor of the female fertility. Reprod Biol Endocrinol. 2018;16(1):22. https://doi.org/10.1186/s12958-018-0336-z.
Li RHW, Ng EHY. Management of anovulatory infertility. Best Pract Res Clin Obstet Gynaecol. 2012;26(6):757–68. https://doi.org/10.1016/j.bpobgyn.2012.05.004.
Veleva Z, et al. High and low BMI increase the risk of miscarriage after IVF/ICSI and FET. Hum Reprod. 2008;23(4):878–84. https://doi.org/10.1093/humrep/den017.
Moragianni VA, Jones S-ML, Ryley DA. The effect of body mass index on the outcomes of first assisted reproductive technology cycles. Fertil Steril. 2012;98(1):102–8. https://doi.org/10.1016/j.fertnstert.2012.04.004.
Luke B, et al. Female obesity adversely affects assisted reproductive technology (ART) pregnancy and live birth rates. Hum Reprod. 2011;26(1):245–52. https://doi.org/10.1093/humrep/deq306.
Veleva Z, Orava M, Nuojua-Huttunen S, Tapanainen JS, Martikainen H. Factors affecting the outcome of frozen-thawed embryo transfer. Hum Reprod. 2013;28(9):2425–31. https://doi.org/10.1093/humrep/det251.
Sarais V, Pagliardini L, Rebonato G, Papaleo E, Candiani M, Viganò P. A comprehensive analysis of body mass index effect on in vitro fertilization outcomes. Nutrients. 2016;8(3):109. https://doi.org/10.3390/nu8030109.
Insogna IG, Lee MS, Reimers RM, Toth TL. Neutral effect of body mass index on implantation rate after frozen-thawed blastocyst transfer. Fertil Steril. 2017;108(5):770-776.e1. https://doi.org/10.1016/j.fertnstert.2017.08.024.
Kelley AS, Badon SE, Lanham MSM, Fisseha S, Moravek MB. Body mass index restrictions in fertility treatment: a national survey of OB/GYN subspecialists. J Assist Reprod Genet. 2019;36(6):1117–25. https://doi.org/10.1007/s10815-019-01448-3.
Koning A, Mol BW, Dondorp W. It is not justified to reject fertility treatment based on obesity. Hum Reprod Open. 2017;2017(2). https://doi.org/10.1093/hropen/hox009
Austin PC. Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research. Commun Stat - Simul Comput. 2009;38(6):1228–34. https://doi.org/10.1080/03610910902859574.
Pan WH, Yeh WT. How to define obesity? Evidence-based multiple action points for public awareness, screening, and treatment: an extension of Asian-Pacific recommendations. Asia Pac J Clin Nutr. 2008;17(3):370–4.
Lim JU, et al. Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients. Int J Chron Obstruct Pulmon Dis. 2017;12:2465–75. https://doi.org/10.2147/COPD.S141295.
World Health Organization. Regional Office for the Western Pacific. The Asia-Pacific perspective : redefining obesity and its treatment. Sydney: Health Communications Australia. 2000; https://apps.who.int/iris/handle/10665/206936
Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. The Lancet. 2004;363(9403):157–163. https://doi.org/10.1016/S0140-6736(03)15268-3.
Yan J, Fine J. Estimating equations for association structures: estimating equations for association structures. Stat Med. 2004;23(6):859–74. https://doi.org/10.1002/sim.1650.
R Project. The R Project for Statistical Computing
Halekoh U, Højsgaard S, Yan J. The R Package geepack for Generalized Estimating Equations. J Stat Softw. 2006;15(2). https://doi.org/10.18637/jss.v015.i02.
Obesity and reproduction: a committee opinion. Fertil Steril. 2015;104 (5):1116–1126. https://doi.org/10.1016/j.fertnstert.2015.08.018.
Tomiyama AJ, Hunger JM, Nguyen-Cuu J, Wells C. Misclassification of cardiometabolic health when using body mass index categories in NHANES 2005–2012. Int J Obes. 2016;40(5):883–6. https://doi.org/10.1038/ijo.2016.17.
Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis: adult obesity from childhood obesity. Obes Rev. 2016;17(2):95–107. https://doi.org/10.1111/obr.12334.
Ashwell M, Gibson S. Waist-to-height ratio as an indicator of early health risk: Simpler and more predictive than using a matrix based on BMI and waist circumference. BMJ Open. 2016;6(3). https://doi.org/10.1136/bmjopen-2015-010159.
Bhaskaran K, dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3·6 million adults in the UK. Lancet Diabetes Endocrinol. 2018;6(12):944–953. https://doi.org/10.1016/S2213-8587(18)30288-2.
Jackson CL, Wang N-Y, Yeh H-C, Szklo M, Dray-Spira R, Brancati FL. Body-Mass Index and Mortality Risk in US Blacks Compared to Whites. Obes Silver Spring. 2014;22(3):842–851. https://doi.org/10.1002/oby.20471.Body-Mass
Caleyachetty R, et al. Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study. Lancet Diabetes Endocrinol. 2021;9(7):419–26. https://doi.org/10.1016/S2213-8587(21)00088-7.
Padwal RS, Sharma AM. Prevention of cardiovascular disease: Obesity, diabetes and the metabolic syndrome. Can J Cardiol. 2010;26(SUPPL. C):18C-20C. https://doi.org/10.1016/S0828-282X(10)71077-1
Toth TL, et al. Embryo transfer techniques: an American Society for Reproductive Medicine survey of current Society for Assisted Reproductive Technology practices. Fertil Steril. 2017;107(4):1003–11. https://doi.org/10.1016/j.fertnstert.2016.10.040.
Funding
This research was supported in part by the TADA-BSSR training grant from the NIH National Heart, Lung, and Blood Institute (NHLBI, grant number 1T32HL151323).
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Brindha Bavan, MD, is a clinical research consultant for Stanford Atropos Health.
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Beshar, I., Milki, A.A., Gardner, R.M. et al. Elevated body mass index in modified natural cycle frozen euploid embryo transfers is not associated with live birth rate. J Assist Reprod Genet 40, 1055–1062 (2023). https://doi.org/10.1007/s10815-023-02787-y
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DOI: https://doi.org/10.1007/s10815-023-02787-y