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Sperm Dna Quality Predicts Intrauterine Insemination Outcome: A Prospective Cohort Study, Eyup Duran, M. Morshedi, S. Taylor, S. Oehninger
Sperm Dna Quality Predicts Intrauterine Insemination Outcome: A Prospective Cohort Study, Eyup Duran, M. Morshedi, S. Taylor, S. Oehninger
Eyup Hakan Duran
BACKGROUND: We aimed to investigate whether sperm DNA quality may predict intrauterine insemination (IUI) outcome. METHODS: The study was designed in a prospective cohort fashion, at a tertiary centre for reproductive medicine. A total of 119 patients underwent 154 cycles of IUI. Parameters related to demography, cycle management and semen sample used for IUI were evaluated. Conventional semen parameters, morphology (strict criteria), sperm DNA fragmentation and stability [evaluated by terminal deoxynucleotidyl transferase-mediated dUDP nick-end labelling (TUNEL) and acridine orange staining under both acid and acid + heat denaturing conditions respectively] were measured. The main outcome measure was clinical pregnancy, defined …
A Logistic Regression Model Including Dna Status And Morphology Of Spermatozoa For Prediction Of Fertilization In Vitro, Eyup Duran, T. Gurgan, S. Gunalp, M. Enginsu, H. Yarali, A. Ayhan
A Logistic Regression Model Including Dna Status And Morphology Of Spermatozoa For Prediction Of Fertilization In Vitro, Eyup Duran, T. Gurgan, S. Gunalp, M. Enginsu, H. Yarali, A. Ayhan
Eyup Hakan Duran
To determine predictive values of routine semen analysis, sperm morphology evaluation using strict criteria and DNA status for in-vitro fertilization (IVF), 66 consecutive couples undergoing IVF in a university hospital IVF programme were prospectively investigated. Semen samples from 66 men were evaluated by routine semen analysis, morphology evaluation using strict criteria and acridine orange staining for determination of DNA status. A new technique is described for acridine orange scoring which consisted of evaluation of two smears per case, with and without heat treatment. Resistance to heat-provoked denaturation was determined by the difference between two evaluations. A logistic regression model was …