Open AccessSperm function and assisted reproduction technology
Author(s) -
HENKEL RALF,
MAAß GESA,
BÖDEKER ROLFHASSO,
SCHEIBELHUT CHRISTINE,
STALF THOMAS,
MEHNERT CLAAS,
SCHUPPE HANSCHRISTIAN,
JUNG ANDREAS,
SCHILL WOLFBERNHARD
Publication year - 2005
Publication title -
reproductive medicine and biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 22
eISSN - 1447-0578
pISSN - 1445-5781
DOI - 10.1111/j.1447-0578.2005.00087.x
Subject(s) - sperm , human fertilization , in vitro fertilisation , infertility , andrology , logistic regression , assisted reproductive technology , pregnancy rate , semen , biology , reproduction , semen analysis , pregnancy , gynecology , medicine , anatomy , genetics
The evaluation of different functional sperm parameters has become a tool in andrological diagnosis. These assays determine the sperm's capability to fertilize an oocyte. It also appears that sperm functions and semen parameters are interrelated and interdependent. Therefore, the question arose whether a given laboratory test or a battery of tests can predict the outcome in in vitro fertilization (IVF). One‐hundred and sixty‐one patients who underwent an IVF treatment were selected from a database of 4178 patients who had been examined for male infertility 3 months before or after IVF. Sperm concentration, motility, acrosin activity, acrosome reaction, sperm morphology, maternal age, number of transferred embryos, embryo score, fertilization rate and pregnancy rate were determined. In addition, logistic regression models to describe fertilization rate and pregnancy were developed. All the parameters in the models were dichotomized and intra‐ and interindividual variability of the parameters were assessed. Although the sperm parameters showed good correlations with IVF when correlated separately, the only essential parameter in the multivariate model was morphology. The enormous intra‐ and interindividual variability of the values was striking. In conclusion, our data indicate that the andrological status at the end of the respective treatment does not necessarily represent the status at the time of IVF. Despite a relatively low correlation coefficient in the logistic regression model, it appears that among the parameters tested, the most reliable parameter to predict fertilization is normal sperm morphology. (Reprod Med Biol 2005; 4: 7–30)