Objectives: To examine seminal parameters predictive for success in a cycle of GIFT and to construct an algorithm using pertinent seminal data as well as easily obtained historical data to predict pregnancy and viable pregnancy rates.
Design: A retrospective study of 544 cycles in 376 couples.
Setting: A private IVF-ET and GIFT center.
Patients: Couples in a GIFT program with a mean of 53.6 months of infertility who had failed to conceive with other therapies.
Interventions: Gamete intrafallopian transfer.
Main outcome measures: Pregnancy as a function of laboratory historical data with emphasis on seminal parameters.
Results: Motility was the only seminal parameter that was predictive. Success was correlated with the number of oocytes returned and inversely related to female age. An algorithm to predict pregnancy in a GIFT cycle as well as viable pregnancy was constructed.
Conclusions: Motility is the only seminal parameter predictive for success in a GIFT cycle. An easily programmable algorithm can be constructed to help patient and physician decide on the appropriateness of GIFT for each couple.