Use of both early cleavage and day 2 mononucleation to predict embryos with high implantation potential in intracytoplasmic sperm injection cycles.
OBJECTIVE
To evaluate the value of early cleavage and day 2 mononucleation as combined parameters in predicting the implantation potential of embryos.


METHODS
Prospectively designed retrospective cohort analysis.


METHODS
Private IVF center.


METHODS
Two hundred eighty-seven ICSI cycles were evaluated in four groups according to the presence of early cleavage and mononucleation in all (ECM), some (pECM, ECpM), or none (noECnoM) of the transfer embryos.


METHODS
None.


METHODS
Embryo quality and pregnancy and implantation rates.


RESULTS
The cycle characteristics, embryo quality, and pregnancy rates were similar when all (ECM) or some (pECM and ECpM) transfer embryos displayed these parameters. The poorest cycle characteristics and outcome were observed in the absence of both parameters (noECnoM). When early cleavage was present, a higher implantation rate was observed when all transfer embryos displayed mononucleation at day 2 (ECM) than when this was the case only in some (ECpM).


CONCLUSIONS
Combination of early cleavage and day 2 mononucleation improves selection of embryos with high implantation potential in ICSI cycles with good prognosis.
Ciray
Haydar Nadir
HN
Bahceci Women's Health Care Center, German Hospital of Istanbul, Turkey.
Karagenç
Levent
L
Ulug
Ulun
U
Bener
Faruk
F
Bahceci
Mustafa
M
D000328:Adult; D016009:Chi-Square Distribution; D002970:Cleavage Stage, Ovum / Q000166:cytology* / Q000502:physiology; D015331:Cohort Studies; D016001:Confidence Intervals; D010064:Embryo Implantation / Q000502:physiology; D004622:Embryo, Mammalian / Q000166:cytology* / Q000502:physiology; D005260:Female; D006801:Humans; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011247:Pregnancy; D011256:Pregnancy Outcome / Q000453:epidemiology*; D011446:Prospective Studies; D012189:Retrospective Studies; D020554:Sperm Injections, Intracytoplasmic / Q000379:methods / Q000706:statistics & numerical data*