P894 - PREDICTORS OF OOCYTE YIELD IN ASSISTED REPRODUCTIVE TECHNOLOGY IN PATIENTS FOLLOWING A NUTRITIONAL INTERVENTION PROGRAM

P894

PREDICTORS OF OOCYTE YIELD IN ASSISTED REPRODUCTIVE TECHNOLOGY IN PATIENTS FOLLOWING A NUTRITIONAL INTERVENTION PROGRAM

O. Leemans^1,*, Z. Rosseel^1,2,3, P.-J. Cortoons^1,2, L. Leemans^1,3, C. Blockeel^4,5, E. De Waele^1,3

¹Vitality Research Group, Vrije Universiteit Brussel, ²Pharmacy, ³Clinical Nutrition , Universitair Ziekenhuis Brussel, ⁴Genetics, Reproduction and Development Research Group, Vrije Universiteit Brussel, ⁵Centre for Reproductive Medicine, Brussels IVF, Universitair Ziekenhuis Brussel, Brussels, Belgium

Rationale: Gonadotropin dosing is essential in assisted reproductive technology (ART) to optimize ovarian response, yet no standard protocol exists. Dosing is typically based on ovarian reserve, age, and BMI, though BMI poorly reflects metabolic variation. This study explores whether body impedance analysis (BIA)-derived metrics better predict oocyte yield than BMI in under- and overweight women undergoing IVF with ICSI.

Methods: This subcohort of the FerMet study (B.U.N. 1432022000039) included women with 18,5 ≤ BMI ≥ 25 kg/m² undergoing ICSI between March 2021 and October 2024. Data included weight, hydration, phase angle (PhA), total body water (TBW), fat-free mass index (FFMI), fat mass, total gonadotropin consumption, ovarian stimulation duration, age, and cycle length were analyzed via regression to identify predictors of oocyte yield.

Results: 164 patients were included, aged 36 [32–39] years and predominantly overweight (93%, n=152; BMI 34 [32–35] kg/m²). In the full regression model (Adjusted R²=0.715), AMH was the only significant predictor (p=0.018; R² when modeled alone = 0.394). Other variables—including hydration, PhA, FFMI, gonadotropin dose (mean total dose: 2072 IU [75–5625]), and cycle length—were not significant. 

Conclusion: Neither BMI nor body composition markers significantly predicted oocyte yield, and gonadotropin dose showed no clear association with ovarian response. These results suggest that ovarian reserve markers such as AMH should remain central to dosing strategies. Further research should aim to refine gonadotropin protocols by incorporating individual metabolic profiles.

References: Broer SL, Dólleman M, Opmeer BC, Fauser BC, Mol BW, Broekmans FJ. AMH and AFC as predictors of excessive response in controlled ovarian hyperstimulation: a meta-analysis. Hum Reprod Update. 2011 Jan-Feb;17(1):46-54. doi: 10.1093/humupd/dmq034. Epub 2010 Jul 28. PMID: 20667894.

Disclosure of Interest: None declared