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Related Experiment Videos

A data-driven search for semen-related phenotypes in conception delay.

C J Patel1, R Sundaram2, G M Buck Louis3

  • 1Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, USA.

Andrology
|October 30, 2016
PubMed
Summary
This summary is machine-generated.

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Semen quality measures show limited predictive value for conception delay, though they offer some insight when combined with other risk factors. Further research is needed to fully understand their prognostic utility.

Area of Science:

  • Reproductive Medicine
  • Andrology
  • Biostatistics

Background:

  • Semen analysis parameters like sperm count, morphology, and motility are traditionally used to predict pregnancy.
  • However, their prognostic value for conception delay remains debated due to equivocal evidence.
  • Novel data-driven techniques are needed to reassess the utility of semen quality data.

Purpose of the Study:

  • To evaluate the predictive capability of semen quality phenotypes for conception delay (defined as >6 cycles to pregnancy).
  • To assess the added value of semen parameters in multivariate models with established risk factors for conception delay.

Main Methods:

  • Prospective follow-up of 402 couples for time-to-pregnancy.
  • Analysis of 40 semen quality phenotypes and 5 fecundity determinants using data-driven analytic techniques.
Keywords:
conception delayfecunditysemen analysissperm quality parameters

Related Experiment Videos

  • Estimation of odds ratios (OR) and confidence intervals (CIs) for conception delay.

    • Main Results:

    • Both traditional and strict sperm morphology measures were associated with reduced odds of conception delay.
    • Increased morphologically normal spermatozoa (traditional) decreased conception delay by 40% (OR=0.6).
    • Increased coiled tail spermatozoa increased conception delay odds by 40% (OR=1.4).
    • Semen phenotypes alone had limited predictive value (AUC=73%).
    • Multivariate models including semen factors and traditional risks showed a modest improvement in prediction (16% AUC increase).

    Conclusions:

    • Semen quality parameters have a limited independent predictive value for conception delay.
    • Integrating semen analysis with other risk factors modestly improves the prediction of conception delay.
    • The prognostic value of semen analysis in predicting time to pregnancy warrants further investigation.