A model for pregnancy rates after IVF-ET in patients with infertility and endometriosis.

OBJECTIVE

The objective of the present study was to examine the clinical factors influencing the pregnancy rate of infertile patients with endometriosis and establish a predictive model.

PATIENTS AND

METHODS

This study included 158 patients (158 cycles) with infertility and endometriosis who underwent laparoscopic surgery, and in vitro fertilization and embryo transfer (IVF-ET) were evaluated retrospectively between January 2019 and December 2020. The clinical factors in the pregnant and non-pregnant group were analyzed by univariate analysis. Statistically significant variables were subsequently used for multivariate logistic regression to establish the prediction model.

RESULTS

Multivariate logistic regression analyses showed that GnRH-a treatment after operation (OR, 6.562; 95% CI: 2.782-15.477; p<0.01), ASRM stage (OR, 0.218; 95% CI: 0.093-0.509; p<0.05), the number of high-quality transferred embryos (OR, 3.155; 95% CI: 1.647-6.047; p<0.05) were independently associated with successful pregnancy. The area under the curve (AUC) of the prediction model was 0.774 (95% CI: 0.700-0.847). According to Hosmer-Lemeshow, the model was well fitted (p>0.05). We applied the bootstrapping method to internal validation, and the result showed that the pregnancy rate predicted by the model and the real data were consistent.

CONCLUSIONS

The models for predicting pregnancy rates after IVF-ET in infertility and endometriosis patients showed high accuracy. The effective methods to increase the number of high-quality embryos need further study.