Clinical factors associated with unexpected poor or suboptimal response in Poseidon criteria patients

Reprod Biomed Online. 2024 Jan 30;49(1):103852. doi: 10.1016/j.rbmo.2024.103852. Online ahead of print.

Abstract

Research question: What clinical factors are associated with 'unexpected' poor or suboptimal responses to IVF ovarian stimulation per POSEIDON's criteria, and which AMH and AFC threshold values distinguish this population?

Design: Tri-centre retrospective cohort study (2015-2017) involving first-time IVF and ICSI cycles with conventional ovarian stimulation (≥150 IU/day of FSH). Eligibility criteria included sufficient ovarian reserve markers according to POSEIDON's classification (AMH ≥1.2 ng/ml; AFC ≥5). Ovarian response categories were poor (<4 oocytes), suboptimal (4-9 oocytes) and normal (≥9 oocytes). Primary outcomes included clinical factors associated with an unexpected poor or suboptimal response to conventional ovarian stimulation using logistic regression analyses, and the threshold values of AMH and AFC predicting increased risk of such responses using ROC curves.

Results: A total of 7625 patients met the inclusion criteria: 204 (9.3%) were poor and 1998 (90.7%) were suboptimal responders. Logistic regression identified significant clinical predictors for a poor or suboptimal response, including AFC, AMH, total gonadotrophin dose, gonadotrophin type and trigger type (P ≤ 0.02). The ROC curves indicated that AMH 2.87 ng/ml (AUC 0.740) and AFC 12 (AUC 0.826) were the threshold values predicting a poor or suboptimal response; AMH 2.17 ng/ml (AUC 0.741) and AFC 9 (AUC 0.835) predicted a poor response; and AMH 2.97 ng/ml (AUC 0.722) and AFC 12 (AUC 0.801) predicted a suboptimal response.

Conclusions: The threshold values of AMH and AFC predicting 'unexpected' poor or suboptimal response were higher than expected. These findings have critical implications for tailoring IVF stimulation regimens and dosages.

Keywords: Anti-Müllerian hormone; Antral follicle count; Ovarian stimulation; POSEIDON criteria; Poor responders; Suboptimal responders.