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Related Experiment Video

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Sperm function and assisted reproduction technology.

Ralf Henkel1,2, Gesa MAAß2, Rolf-Hasso Bödeker3

  • 1Department of Urology, Friedrich Schiller University, Jena.

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|April 28, 2018
PubMed
Summary

Sperm morphology is the most reliable predictor of in vitro fertilization (IVF) success among various functional sperm parameters. Laboratory tests assessing sperm function may not accurately reflect the status at the time of IVF due to variability.

Keywords:
assisted reproductionhigh intra‐ and interindividual variabilitymultivariate approachprediction of outcome of IVFsperm functions

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Area of Science:

  • Andrology
  • Reproductive Medicine
  • In Vitro Fertilization

Background:

  • Functional sperm parameters are crucial for andrological diagnosis and predicting fertilization capability.
  • Sperm function and semen parameters are interrelated, prompting investigation into their predictive value for in vitro fertilization (IVF) outcomes.

Purpose of the Study:

  • To determine if laboratory tests or a combination of tests can predict the outcome of in vitro fertilization (IVF).
  • To assess the predictive value of various sperm parameters, including morphology, concentration, motility, and acrosome reaction, for IVF success.

Main Methods:

  • Analysis of 161 patients undergoing IVF, with male infertility examinations conducted within 3 months before or after the procedure.
  • Evaluation of sperm concentration, motility, acrosin activity, acrosome reaction, morphology, maternal age, embryo transfer details, fertilization, and pregnancy rates.
  • Development of logistic regression models to predict fertilization and pregnancy rates, assessing parameter variability.

Main Results:

  • Individually, most sperm parameters showed good correlation with IVF outcomes.
  • Sperm morphology emerged as the most significant parameter in multivariate logistic regression models for predicting fertilization.
  • High intra- and interindividual variability was observed in the assessed sperm parameters.

Conclusions:

  • Andrological status assessed during infertility treatment may not accurately represent the status at the time of IVF.
  • Normal sperm morphology is the most reliable predictor of fertilization among the tested parameters, despite a low correlation coefficient in the logistic regression model.