Effects of cryopreserved semen quality and timed intrauterine insemination on pregnancy rate and gender of offspring in a donor insemination program

A low total motile sperm count in donor sperm obtained from commercial banks does not affect pregnancy rates from intrauterine insemination

Objective

Women are often concerned about the absolute quantity and quality of sperm in a thawed donor sample at the time of intrauterine insemination (IUI). The aim of this study was to determine how the total motile sperm count (TMSC) of donor sperm obtained from commercial sperm banks affects the pregnancy rate after IUI.

Study design

We performed a retrospective cohort study including single women and women in same-sex relationships undergoing IUI at a single academic fertility center between January 2011 and March 2018. Our primary outcome was pregnancy rates per IUI cycle, stratified by post-washed TMSC. The data was analyzed according to TMSC and included three different groups: samples with a TMSC less than 5 million; TMSC of 5-10 million; and a TMSC greater than 10 million. Pregnancies were defined by a serum Beta-human chorionic gonadotropin (Beta-HCG) of greater than 5 mIU/mL. Chi-squared analyses and correlation coefficients were performed.

Results

Overall, 9341 IUIs were conducted during the study period. Of these, 1080 (11.56%) were performed for single women and women in a same-sex relationship using commercially available donor sperm. We found that there were no differences in the pregnancy rates per insemination based on TMSC. The pregnancy rates per cycle were 15/114 (13.3%) for the group with a TMSC of less than 5 million; 34/351(9.5%) with a TMSC of 5-10 million; and 61/609 (10.0%) for samples with a TMSC greater than 10 million (p = 0.52). We found an insignificant correlation (r = -0.072) between donor sperm TMSC and pregnancy after IUI (p = 0.46). Furthermore, a reassuring beta-HCG level (>100IU/L) drawn 16 days after IUI was unrelated to TMSC (r = 0.0071, p = 0.94).

Conclusion

The pregnancy rate following IUI is unaffected by the TMSC of commercially available donor sperm. This result is useful in reassuring patients when freshly thawed donor sperm is found to have a lower TMSC. Frozen sperm samples from commercial banks typically represent just a portion of an ejaculate produced by a donor who meets the banks' standards for age, health and sperm quality. As such, exaggerated sperm death caused by freezing does not result in worse outcomes with donor sperm.

Predictive factors influencing pregnancy rates after intrauterine insemination with frozen donor semen: a prospective cohort study

The extent to which certain parameters can influence pregnancy rates after intrauterine insemination with frozen donor semen was examined prospectively. Between July 2011 and September 2015, 402 women received 1264 IUI cycles with frozen donor semen in a tertiary referral infertility centre. A case report form was used to collect data prospectively. The primary outcome measure was clinical pregnancy rate (CPR), confirmed by detection of a gestational sac and fetal heartbeat using ultrasonography at 7-8 weeks of gestation. Statistical analysis was carried out using generalized estimating equations (GEE) to account for the correlation between observations from the same patient. Overall, CPR per cycle was 17.2%. Multivariate GEE analysis revealed the following parameters as predictive for a successful pregnancy outcome: female age (P = 0.0003), non-smoking or smoking fewer than 15 cigarettes a day (P = 0.0470 and P = 0.0235, respectively), secondary infertility (P = 0.0062), low progesterone levels at day zero of the cycle (P = 0.0164) and use of ovarian stimulation with HMG and recombinant FSH compared with clomiphene citrate and natural cycle (P = 0.0006 and P = 0.0004, respectively). These parameters were the most important factors influencing the success rate in a sperm donation programme.

Sperm gene expression profile is related to pregnancy rate after insemination and is predictive of low fecundity in normozoospermic men

BACKGROUND

Assessment of male fertility is traditionally based on microscopic evaluation of semen. However, the classical semen parameters do not adequately reflect sperm function, and their clinical value in predicting fertility is limited. We hypothesize that the sperm expression profile could reflect the fertilizing quality of spermatozoa and could be more informative for predicting the in vivo reproductive fitness of men with normal semen parameters.

METHODS

Sperm gene expression patterns of 68 normozoospermic donors (43 Phase I and 25 Phase II), used for therapeutic IUI, were analysed via TaqMan Arrays.

RESULTS

Significant differences in the expression of individual genes were observed between groups of donors with the lowest and highest pregnancy rates (PRs) after IUI. Additionally, we have developed a molecular means to classify the fertility status of semen donors for IUI based on the expression signature of four genes. In the Phase I study, this model had 90% sensitivity and 97% specificity for discriminating donors resulting in low PRs (cut-off value: <13.6%), far better than that obtained from the combination of sperm parameters. The translation of the model was validated in Phase II donors resulting in a sensitivity of 71.5% and a specificity of 78%.

CONCLUSIONS

Our findings contribute to the search for the most valuable genetic markers which are potentially useful as tools for predicting pregnancy. Our expression model could complement classical semen analysis in order to identify sperm donors with a less favourable IUI reproductive outcome despite having normal semen parameters. It may also be useful for the study of sperm function in couples with unexplained infertility.

Predictive value of sperm motility characteristics assessed by computer-assisted sperm analysis in intrauterine insemination with superovulation in couples with unexplained infertility

Objective

To determine whether characteristics of sperm motility obtained by computer-assisted sperm analysis (CASA) could predict pregnancy after intrauterine insemination (IUI) in couples with unexplained infertility.

Methods

Three hundred eighty-three cycles of intrauterine insemination with superovulation were retrospectively analyzed. Semen analysis was performed with CASA before and after swim-up and the parameters were compared between pregnant and non-pregnant women.

Results

The pregnancy rate per cycle was 14.1%. Pregnant and non-pregnant women were comparable in terms of age, infertility duration, the number of dominant follicles. While sperm concentration, motility, and parameters such as average path velocity (VAP) and percentage rapid (RAPID) before semen preparation were significantly different between the pregnancy and non-pregnancy groups, there were no differences in sperm parameters when comparing the two groups after preparation. Using a receiver operating characteristic curve to measure sensitivity and specificity, the optimal threshold value for the predictors of pregnancy was revealed to be a concentration of ≥111×10⁶/mL, a motility of ≥51.4%, and RAPID ≥30.1% before preparation for IUI.

Conclusion

Sperm parameters including concentration, motility, and RAPID before sperm preparation could have predictive value for pregnancy outcome after intrauterine insemination with superovulation in couples with unexplained infertility, and would be helpful when counseling patients before they make the decision to proceed with IVF/ICSI-ET.

Use of semen quality scores to predict pregnancy rates in couples undergoing intrauterine insemination with donor sperm

OBJECTIVE

To establish semen quality scores in a population of sperm donors and determine whether the scores can be used to predict pregnancy rates after donor insemination.

DESIGN

Retrospective study.

SETTING

Infertility clinic at a tertiary care teaching hospital between 1993-2001.

PATIENT(S)

One hundred eleven women who underwent IUI with sperm from 27 anonymous donors.

INTERVENTION(S)

None.

MAIN OUTCOME MEASURE(S)

The semen analysis results before freezing and after thawing were analyzed, and overall donor insemination semen quality (DI-SQ) and donor insemination relative quality (DI-RQ) scores were calculated. After adjusting for female characteristics, the scores were compared with samples that did and did not result in pregnancy.

RESULT(S)

Of 111 patients, 70 had at least one pregnancy, and 60 had at least one live birth, with a mean of 6.52 +/- 4.67 IUI cycles per patient. Five significant risk factors for low pregnancy and live birth rates were identified: female infertility factor, positive laparoscopy, older maternal age, low number of previous births, and lack of ovulatory stimulation. After adjusting for these factors, both prefreeze and postthaw DI-SQ scores were statistically significantly associated with IUI live birth rates. Using only the samples with a DI-SQ score of >110 doubled the expected live birth rate, compared with using samples with a DI-SQ score less than 100, from 8.5% to 16.1%.

CONCLUSION(S)

The DI-SQ score was an effective predictor of pregnancy and live birth outcomes in IUI patients who underwent artificial insemination with anonymous donor semen. The DI-SQ score could also be used by sperm banks to help select donors.

Intrauterine insemination with donor semen. An evaluation of prognostic factors based on a review of 1131 cycles

OBJECTIVE

To identify prognostic factors influencing the outcome of infertility treatment using intrauterine insemination with donor semen (IUI-D).

DESIGN

Retrospective study of all patients undergoing IUI-D between August 1st, 1990 and July 31st, 1998.

SETTING

University-affiliated infertility clinic.

PATIENTS

Three hundred and five couples undergoing 1131 IUI-D treatment cycles.

MAIN OUTCOME MEASURES

Type of hormonal treatment, number of follicles, length of follicular phase, endometrial pattern, female age, infertility diagnosis and semen quality related to clinical pregnancy rate, cumulative birth rate and multiple gestations.

RESULTS

Throughout the nine year period the overall clinical pregnancy rate per cycle was 22.3%, with an increase from 12.9% in 1990 to 34.6% in 1998. The multiple birth rate was 20.6%. The birth rate per couple was 61.1% after a mean of 3.2 treatment cycles. The pregnancy rate was highest in the first treatment cycle and the cumulative birth rate rose only slightly after the sixth treatment cycle. The following parameters were positively and significantly correlated to a successful outcome of IUI-D: i) the first treatment cycle - compared to the following up to six treatment cycles; ii) number of mature follicles - more than one - at the time of insemination, however, with an unacceptable high rate of multiple pregnancies when more than 3 mature follicles were present; iii) time of insemination after the 12th day in the cycle; iv) insemination after ovulation has occurred and; v) female age under 30 years.

CONCLUSIONS

IUI-D is a simple and inexpensive treatment giving acceptable pregnancy rates for up to six treatment cycles if at least 2 mature follicles have developed at the time of insemination, which implies that hormonal ovarian stimulation and induction of ovulation is used, and ovulation has occurred at the time of insemination, which ought to take place after cycle day (cd) 12 with at least two million motile spermatozoa.