Predictive value of sperm morphology and progressively motile sperm count for pregnancy outcomes in intrauterine insemination

Fertility and Sterility(2016)

Cited 68|Views10
No score
Abstract
Objective: To investigate the value of sperm parameters to predict an ongoing pregnancy outcome in couples treated with intrauterine insemination (IUI), during a methodologically stable period of time. Design: Retrospective, observational study with logistic regression analyses. Setting: University hospital. Patient(s): A total of 1,166 couples visiting the fertility laboratory for their first IUI episode, including 4,251 IUI cycles. Intervention(s): None. Main Outcome Measure(s): Sperm morphology, total progressively motile sperm count (TPMSC), and number of inseminated progressively motile spermatozoa (NIPMS); odds ratios (ORs) of the sperm parameters after the first IUI cycle and the first finished IUI episode; discriminatory accuracy of the multivariable model. Result(s): None of the sperm parameters was of predictive value for pregnancy after the first IUI cycle. In the first finished IUI episode, a positive relationship was found for <= 4% of morphologically normal spermatozoa (OR 1.39) and a moderate NIPMS (5-10 million; OR 1.73). Low NIPMS showed a negative relation (<= 1 million; OR 0.42). The TPMSC had no predictive value. The multivariable model (i.e., sperm morphology, NIPMS, female age, male age, and the number of cycles in the episode) had a moderate discriminatory accuracy (area under the curve 0.73). Conclusion(s): Intrauterine insemination is especially relevant for couples with moderate male factor infertility (sperm morphology <= 4%, NIPMS 5-10 million). In the multivariable model, however, the predictive power of these sperm parameters is rather low. (C) 2016 by American Society for Reproductive Medicine.)
More
Translated text
Key words
Intrauterine insemination,IUI,prognostic value,semen analysis
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined