Predicting success of gamete intrafallopian transfer.
OBJECTIVE
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.


METHODS
A retrospective study of 544 cycles in 376 couples.


METHODS
A private IVF-ET and GIFT center.


METHODS
Couples in a GIFT program with a mean of 53.6 months of infertility who had failed to conceive with other therapies.


METHODS
Gamete intrafallopian transfer.


METHODS
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.
Department of Obstetrics and Gynecology, Pennsylvania Hospital, Philadelphia.
J R
JR
Nelson
S L
SL
Corson
F R
FR
Batzer
B
B
Gocial
L
L
Huppert
K J
KJ
Go
G
G
Maislin
D000328:Adult; D000465:Algorithms; D005260:Female; D015181:Gamete Intrafallopian Transfer / Q000379:methods*; D006801:Humans; D007247:Infertility, Female / Q000209:etiology; D007248:Infertility, Male / Q000209:etiology; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011379:Prognosis; D012189:Retrospective Studies; D012737:Sex Factors; D013081:Sperm Motility