Abstract
Background: OHSS (ovarian hyperstimulation syndrome) is a life-threatening complication and most common adverse effect of fertility treatmentObjectives: To investigate associated risk factors of ovarian hyperstimulation syndrome (OHSS) in stimulated ovarian cycles with assisted reproductive technology, may provide guidance for clinicians on how to prevent OHSS. Methods: A Logistic regression analysis was conducted in 336 patients who had completed IVF-ICSI/ET cycles between April 2019 and April 2020 in the first affiliated hospital of kunming medical university. Receiver-operating characteristic (ROC) curves for OHSS were calculated for each predictor using cut-off values. Area under the curve (AUC) analysis and logistic regression models were performed to compare the performance of laboratory biomarkers. Results: According to clinical diagnosis, 61 cycles developed OHSS of 336 cycles, with an incidence of 18.15%. Patients were graded according to their clinical symptoms and severity, including 27 cycles of moderate OHSS (8.04%) and 8 cycles of severe OHSS (2.38%). The cut-off value of AMH, E2 on HCG day, egg retrieved to predict moderate and severe OHSS were 7.495ng/ml, 4828pg/ml and 19.5 in GnRH-a Prolonged Protocol, with sensitivities of 77.0%, 67.2%, 80.3%, and specificity of 68.0%, 70.9%, 81.5% respectively. The area under the curve (AUC) values of AMH, E2 on HCG day, Number of oocytes retrieved to predict moderate and severe OHSS were 0.754, 0.738, 0.876, respectively. And the AUC value of combined index to predict moderate and severe OHSS was 0.898, achieved the highest AUC with 85.2% sensitivity and 83.6% specificity. Conclusions:AMH, E2 day of HCG and number of eggs obtained have a good predictive effect on the occurrence of OHSS, and the predictive ability is further improved after the combination of the three indicators.