پديد آورندگان :
Khafri Soraya نويسنده , Kazemnejad Anoshiravan نويسنده , Movahedin Mansoureh نويسنده , Hajizadeh Ebrahim نويسنده
چكيده لاتين :
Background: Effect of seasonal changes in human reproduction has been intensively researched.
Some studies acknowledge influences of seasonal variation on natural conception, while others can
not confirm them. The aim ofthis study was to investigate the effectof seasonal changes on different
stagesof assisted reproductive technology (ART) in Tehran.
Material s and Methods: Thisstudywas carriedouton268cycleswhichwerethe fi rst intracytoplasmic
sperm injection (ICST) cycle of the couples between July 2005 and March 2007. Multiple logistic
regression was used to model the influence of different clinical factors on pregnancy rate and a
bivariate Poisson regressionmodel was used formodeling the number of mature oocytes and obtained
embryos.
Results: Based on the logistic regression model, the duration of infertility, female age, number of
mature oocytes, and transferred embryos were only the significant predictors. In this series, seasonal
changes had no predictive value on the: pregnancy rate.
Bivariate Poisson regression model showed that only the female age and duration of infertility were
the factors simultaneously affecting the number of embryos and mature oocytes.
Conclusion: The suspected seasonalvariabilityon the outcomeofICSI cycles hasnotbeenconfirmed.
Furthermore, among different seasons, there are no significan t differences in the number of mature
oocytes, obtained embryos, and transferred embryos.