Association of ovarian response with picoAMH in women undergoing controlled ovarian hyperstimulation

Objective: Our study aims to evaluate the diagnostic performance of a high-sensitivity picoAnti-Mullerian Hormone (picoAMH) for predicting ovarian response in women undergoing controlled ovarian hyperstimulation and occurrence of ovarian hyperstimulation syndrome. Methods: Retrospective cohort study at a single academic fertility center including all patients with picoAMH ELISA who underwent controlled ovarian hyperstimulation. The primary outcome was the number of oocytes retrieved, and secondary outcomes included cycle cancellation and ovarian hyperstimulation syndrome. Patients were grouped into poor, normal, and hyper-responders based on number of oocytes retrieved. Results: The mean AMH and antral follicle count (AFC) were significantly different between normal response vs. hyper response group (p < 0.0001). Only serum AMH and not AFC was significantly increased in patients diagnosed with ovarian hyperstimulation syndrome (OHSS). For prediction of OHSS, receiver operating characteristic (ROC) analysis revealed that AMH (area under the ROC curve [AUC] = 0.85) was significantly better than the AFC (AUC = 0.64). The serum AMH cut-off at sensitivity of 80% for predicting OHSS among hyper responders from ROC curve was 3.67 ng/ml. Serum AMH measured by picoAMH ELISA showed superior correlation to number of oocytes retrieved when compared to AFC in the age group over 40 years old (r(2) = 0.74 and r(2) = 0.4, respectively) Conclusion: This study shows great utility of picoAMH ELISA for predicting ovarian response to controlled ovarian hyperstimulation (COH). Diagnostic performance of picoAMH for prediction of OHSS is superior to the AFC in our cohort.

Automated summary

This study evaluated the diagnostic performance of high-sensitivity picoAMH ELISA in predicting ovarian response and ovarian hyperstimulation syndrome. The results demonstrated that picoAMH is a valuable tool for predicting ovarian response and outperformed AFC in predicting OHSS.