Construction and validation of the predictive model for clinical outcomes in infertile males with testicular spermatozoa undergoing ICSI
Objective To investigate the construction and validation of the prediction model for clinical pregnancy outcome using intracytoplasmic sperm injection(ICSI)with testicular spermatozoa in patients with different etiologies of male infertility.Methods Clinical data of 345 infertile couples with different etiology who received surgical sperm retrieval for ICSI treatment at the Reproductive Center from January 2020 to June 2022 were retrospectively analyzed.The logistic regression pregnancy prediction model was constructed using the training set,and the test set validated the model for accuracy and reliability.Results When testicular volume(TV)＞12 mL,male follicle-stimulating hormone(FSH)＜13.3 IU/L,obstructive azoospermia(OA),and female age＜33 years were associated with higher predicted clinical pregnancy rates(P＜0.05).The area under the ROC curve(AUC)of the model was 0.881(95％CI:0.841-0.921)in the training set and 0.900(95％CI:0.825-0.975)in the test set.Conclusions The established pregnancy prediction model with independent variables as TV,male FSH,OA,erectile dysfunction,non-obstructive azoospermia,and female age has high accuracy and reliability,which provides a valuable counseling tool for patients treated with testicular sperm ICSI.
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