A Model For Predicting The Success f Male Infertility Treatment

Backgournd: In spite of the technological and therapeutic advances, the chance of success in the treatment of infertility is still ambiguous and is depended on couple characteristics. Doctors and infertile couples are eager to estimate chance of success. Models based on European and American population data have been developed. Thesemodels provide the treatment success of infertile couple in different conditions. The purpose of this study is to develop a model for predicting the success of male infertility treatment based on Iranian population data. Material and method: In a historical cohort, 323 couples were examined. Success was defined as live birth and data of 31 variables were analyzed with univariate logistic regression. 15 variables were analyzed by multiple logistics regression. Co-linear variables were omitted and finally 8 variables were analyzed as effective factors with Cox regression and their effect was determined. Results: Body mass index, duration of infertility, previous treatment of infertility and type of infertility in man and the percentage of sperm with normal head, the percentage of live sperm, familial marriage and type of treatment were considered as effective factors. Conclusion: The variables affecting the success of treatment of male infertility have not been independently studied. The eight variables that are presented in this study are the factors for the calculation of the success rate of treatment. This model can propose the chance of live birth according to the circumstances of each couple.

Keywords:

Infertility Treatment , Male Infertility , Survival Analysis , Multiple Logistics regression