Kemal Ozgur1, Murat Berkkanoglu1, Hasan Bulut1, Levent Donmez2, Ayhan Isikli1, Kevin Coetzee3. 1. Antalya IVF, Halide Edip Cd. No:3, Kanal Mh., 07080, Antalya, Turkey. 2. Medical Faculty, Public Health Department, Akdeniz University, Antalya, Turkey. 3. Antalya IVF, Halide Edip Cd. No:3, Kanal Mh., 07080, Antalya, Turkey. kevincoetzee61@yahoo.co.nz.
Abstract
PURPOSE: To determine which blastocyst assessment variables predict clinical implantations in single blastocyst frozen embryo transfers (FET) of freeze-only-IVF cycles, following improved vitrified-warmed blastocyst survival and developmental competence preservation. METHOD: In this retrospective cohort study performed at a single private IVF center, the pregnancy outcomes of 1795 single blastocyst FET cycles were analyzed, from freeze-only-IVF retrievals performed between January 2017 and January 2020. Stepwise forward logistic regressions with clinical implantation (i.e., normal gestational sac and cardiac activity) as dependent variable were performed to identify the significant predictors. All blastocysts were vitrified using Cryotop technology, with before transfer (post-warming) blastocyst morphology scores used in all analyses. RESULT(S): The 1795 blastocysts transferred were vitrifıed on embryo days 4 (1057), 5 (716), and 6 (22). The overall clinical implantation rate was 50.9%; however, using blastocyst age and blastocyst morphological score the clinical implantation rates increased from 49.0% (day-4 1 and 2) and 25.2% (day-5 1 and 2) to 71.2% (day-4 4AA) and 64.3% (day-5 4AA), respectively. Whereas full (≥3) blastocysts with scores of AA and BA had similar clinical implantation rates (66.2 vs. 66.7%), the rate of full blastocysts with scores of AB was lower (58.9%). In stepwise forward logistic regressions, female age, blastocyst age, blastocyst expansion score, blastocyst trophectoderm score, and number of blastocysts vitrified were significant predictors of clinical implantation. CONCLUSION(S): Using blastocyst age and before transfer blastocyst expansion and trophectoderm morphology scores to select blastocysts, clinical implantation rates greater than 70% could be achieved for top-scoring blastocysts.
PURPOSE: To determine which blastocyst assessment variables predict clinical implantations in single blastocyst frozen embryo transfers (FET) of freeze-only-IVF cycles, following improved vitrified-warmed blastocyst survival and developmental competence preservation. METHOD: In this retrospective cohort study performed at a single private IVF center, the pregnancy outcomes of 1795 single blastocyst FET cycles were analyzed, from freeze-only-IVF retrievals performed between January 2017 and January 2020. Stepwise forward logistic regressions with clinical implantation (i.e., normal gestational sac and cardiac activity) as dependent variable were performed to identify the significant predictors. All blastocysts were vitrified using Cryotop technology, with before transfer (post-warming) blastocyst morphology scores used in all analyses. RESULT(S): The 1795 blastocysts transferred were vitrifıed on embryo days 4 (1057), 5 (716), and 6 (22). The overall clinical implantation rate was 50.9%; however, using blastocyst age and blastocyst morphological score the clinical implantation rates increased from 49.0% (day-4 1 and 2) and 25.2% (day-5 1 and 2) to 71.2% (day-4 4AA) and 64.3% (day-5 4AA), respectively. Whereas full (≥3) blastocysts with scores of AA and BA had similar clinical implantation rates (66.2 vs. 66.7%), the rate of full blastocysts with scores of AB was lower (58.9%). In stepwise forward logistic regressions, female age, blastocyst age, blastocyst expansion score, blastocyst trophectoderm score, and number of blastocysts vitrified were significant predictors of clinical implantation. CONCLUSION(S): Using blastocyst age and before transfer blastocyst expansion and trophectoderm morphology scores to select blastocysts, clinical implantation rates greater than 70% could be achieved for top-scoring blastocysts.
Authors: Kemal Ozgur; Murat Berkkanoglu; Hasan Bulut; Peter Humaidan; Kevin Coetzee Journal: J Assist Reprod Genet Date: 2015-12-23 Impact factor: 3.412
Authors: Jennifer B Bakkensen; Paula Brady; Daniela Carusi; Phillip Romanski; Ann M Thomas; Catherine Racowsky Journal: J Assist Reprod Genet Date: 2019-09-12 Impact factor: 3.412