Predictive value of sperm morphology and progressively motile sperm count for pregnancy outcomes in intrauterine insemination
SourceFertility and Sterility, 105, 6, (2016), pp. 1462-1468
Article / Letter to editor
Display more detailsDisplay less details
Fertility and Sterility
SubjectRadboudumc 17: Women's cancers RIHS: Radboud Institute for Health Sciences; Radboudumc 18: Healthcare improvement science RIHS: Radboud Institute for Health Sciences
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.
Upload full text
Use your RU credentials (u/z-number and password) tolog in with SURFconextto upload a file for processing by the repository team.