O-147 Factors influencing ICSI outcome after sperm retrieval in nonobstructive azoospermia patients with different types of etiologies: a retrospective study of 1157 patients

Abstract Study question What are predictors of fertilization, clinical pregnancy, miscarriage and livebirth delivery outcomes after microdissection testicular sperm extraction (mTESE)-ICSI in NOA patients with different etiologies? Summary answer Predictors for ICSI outcome were various etiologies type associated these patients. is known already due to spermatogenic dysfunction, accounting about 60 percent the total azoospermia cases, may have opportunities be fathers their own biological children by mTESE combined ICSI. For them, there some predictive factors including motility, morphology, testis volume levels reproductive hormone follicle stimulating (FSH), luteinizing (LH) testosterone (T), while remains underappreciated, especially relationship between male reviewing large scale data. design, size, duration This retrospective study involved 1157 treated 1534 complete cycles at Reproductive Medical Centre Peking University Third Hospital from March 2012 October 2021. Participants/materials, setting, methods included 558, 359, 243, 155, 128, 56 35 performed males idiopathic (iNOA), Klinefelter syndrome (KS), AZFc microdeletions, cryptorchidism, a history mumps orchitis, cryptozoospermia other causes separately. Primary was per cycle (LBR) secondary pregnancy rate (PR) fertilization (FR). Multi-variable logistic linear regression used analyze outcome. Main results role chance Overall LBR, PR FR 37.35%, 44.98%, 49.34% Patients orchitis showed highest 53.13%, 60.94% 59.52% respectively, AZFc-deleted displayed lowest 25.93%, 30.04% 32.87% Lower female age (0.947 [0.904;0.993], p = 0.024), more transferred embryos (1.345 [1.225;1.477], p＜0.001), higher AFC (1.033[1.011;1.056], 0.003) related BMI (0.974[0.950; 0.999], 0.046) lower (1.057[1.034; 1.080], p＜0.001) PR. Comparing group, cryptorchidism associate LBR(0.467[0.281; 0.778], 0.003), (0.440[0.268;0.721], 0.001) FR(-0.169 [-0.226; -0.11], had LBR (0.426[0.260; 0.697], 0.001), (0.273[0.170; 0.437], (-0.282 [-0.336; -0.228], respectively. KS (0.455[0.288; 0.720], (0.477 [0.306; 0.745], (-0.073 [-0.126; -0.020], 0.007) iNOA (0.616 [0.409; 0.928], 0.020) (-0.076 [-0.124; -0.029], 0.002) Furthermore, (-0.141 [-0.220; -0.061], 0.001). Limitations, reasons caution Sperm characteristics maybe which potential selection bias. Pituitary prolactin Anti-Müllerian weren’t as covariates limited information our database. We couldn’t verify conclusion population multicenter despite current sample size so far. Wider implications findings Our provide valuable who want counsel surgeons help perform shared decision-making optimal therapy methods, worse consider donor semen get better Trial registration number not applicable