To analyze clinical factors affecting embryo quality and quantity in endometriosis patients undergoing IVF/ICSI-ET, thereby providing insights for improving treatment outcomes.
Key Findings:
The model showed robust discriminative ability with AUC values of 0.765 in the training set and 0.776 in the validation set, indicating its potential utility in clinical practice.
Endometriomas significantly affect oocyte yield and high-quality embryo rates, highlighting the need for targeted interventions.
Anti-Müllerian Hormone level, Antral Follicle Count, bilateral endometriomas, and GnRH agonist pre-treatment are strong predictors of oocyte yield, suggesting avenues for personalized treatment.
Interpretation:
The nomogram provides a practical tool for predicting ovarian response in endometriosis patients, aiding in personalized treatment strategies and improving clinical decision-making.
Limitations:
The study is limited to a single center and may not be generalizable to all populations, potentially affecting the applicability of the findings.
Potential biases in patient selection and retrospective data collection may influence the results.
Conclusion:
The study highlights key factors influencing embryo quality and quantity in endometriosis patients, suggesting that GnRH agonist administration can improve IVF/ICSI outcomes, thereby informing future clinical practices.
