Predictive value of different covariates influencing pregnancy rate following intrauterine insemination with homologous semen: a prospective cohort study

No impact of a positive Chlamydia trachomatis serology on live-birth rate after intra-uterine insemination

OBJECTIVE

To study the impact of a CT serology on intrauterine insemination (IUI) cumulative live-birth rate (cLBR) in women with documented bilateral tubal patency.

DESIGN

Cohort study SUBJECTS: Infertile women with documented bilateral tubal patency and medical indication of IUI matched on the following criteria: woman's age, number of cycles completed and number of motile sperm inseminated (NMSI).

EXPOSURE

This retrospective, observational and monocentric cohort study compared women with positive CT serology matched 1:1 to control women with negative CT serology.

MAIN OUTCOME MEASURES

Cumulative LBR, rates of clinical pregnancy, spontaneous abortion, biochemical pregnancy.

RESULTS

A total of 71 women in the CT positive group were matched to 71 women in the negative CT group, leading to compare 136 cycles per group. No statistically significant difference was observed between groups regarding the demographic and medical characteristics of couples. Cumulative LBR per woman was similar in both groups with 32.4% (n = 23) in the negative serology group Vs 25.4% (n = 18) in the positive CT group (NS). The rates of clinical pregnancy, spontaneous abortion, biochemical pregnancy were comparable between the two groups.

CONCLUSION

In a population of infertile women with patent tubes, our study suggests that the serological status for CT has no impact on the IIU cLBR.

Predictive Value of Teratospermia During Initial Sperm Analysis on the Success of Intrauterine Insemination Cycles

OBJECTIVE

To evaluate the predictive value of sperm morphology, specifically teratospermia, seen during initial semen analysis on the success of intrauterine insemination (IUI) cycles and pregnancy outcomes.

METHODS

A retrospective cohort analysis on patients undergoing IUI at a large US fertility network. Baseline demographic characteristics, primary infertility diagnoses, and pregnancy outcomes were recorded. A total of 27,925 IUI cycles in 16,169 unique patients were analyzed. IUI cycles were grouped by a sperm morphology of 1% (n = 3799), 2% (n = 5506), 3% (n = 4857), or 4% or greater (n = 13,763). The outcome measures were pregnancy rate (positive pregnancy test), clinical pregnancy rate (CPR) (ultrasound confirmation of a gestational sac with a yolk sac around 5-6 weeks), live birth rate, and miscarriage rate.

RESULTS

Sperm morphology is a significant predictor of pregnancy rate (P = <.001), CPR (P =.011), and live birth rate (P = .026) following IUI. In each of these outcome measures, patients with 1% normal forms had the lowest percentage of success, and patients with 4% or greater normal forms had the most success. Relative outcome percentages, however, were similar in each group. Live birth rates in the 1%, 2%, 3%, and ≥4% group were 12.3%, 13.1%, 12.7%, and 13.9%, respectively. Sperm morphology is not a significant predictor of miscarriage rate per clinical pregnancy post-IUI (P = .054).

CONCLUSION

Sperm morphology was a statistically significant predictor of pregnancy, clinical pregnancy, and live birth but not miscarriage rate after an IUI cycle. Higher morphology percentages were associated with increasingly favorable outcomes. However, the small observed differences did not demonstrate clinical significance.

Cumulative live birth rates following intrauterine insemination using donor and husband sperm in different age groups: A cohort study of 10 415 insemination cycles

OBJECTIVES

To assess the age-specific cumulative live birth rates (CLBRs) in intrauterine insemination (IUI) cycles using either donor or husband sperm, and to investigate the impact of sperm sources on IUI success among women within the same age group.

METHODS

This retrospective cohort study comprised women who underwent IUI with donor sperm (IUI-D) or husband sperm (IUI-H) from 2017 to 2021. The women were stratified based on their age at the initiation of insemination into four categories: <35, 35-37, 38-39 and ≥40 years.

RESULTS

A total of 5253 women undergoing 10 415 insemination cycles (3354 with IUI-D and 7061 with IUI-H) were included. The CLBRs decreased significantly with increasing maternal age within donor and husband insemination groups (P < 0.001). In the IUI-D group, the crude CLBRs were 61.50% in women aged <35, 48.91% in 35-37, 24.14% in 38-39 and 11.76% in the ≥40-year age category, respectively. The corresponding rates in the IUI-H group were 27.62%, 22.96%, 13.73% and 6.90%, respectively. Within the <35 and 35-37-year age categories, the CLBRs were significantly higher following IUI-D cycles compared to IUI-H cycles, with hazard ratios (HR) of 1.85 (1.68-2.04) and 1.69 (1.16-2.47), respectively. However, within the 38-39 and ≥40-year age categories, both IUI-D and IUI-H resulted in comparable low CLBRs, with HRs of 1.91 (0.77-4.76) and 1.80 (0.33-9.86), respectively.

CONCLUSION

Advanced maternal age affects the whole process of fertility. Therefore, it could be reasonable to limit the number of IUI performed in women aged 40 years and older, even in couple using donor sperm for reproduction.

Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population

PURPOSE

This study aimed to evaluate the effectiveness of a random forest (RF) model in predicting clinical pregnancy outcomes from intrauterine insemination (IUI) and identifying significant factors affecting IUI pregnancy in a large Chinese population.

METHODS

RESULTS: A total of 11 variables, including eight from female (age, body mass index, duration of infertility, prior miscarriage, and spontaneous abortion), hormone levels (anti-Müllerian hormone, follicle-stimulating hormone, luteinizing hormone), and three from male (smoking, semen volume, and sperm concentration), were identified as the significant variables associated with IUI clinical pregnancy in our Chinese dataset. The RF-based prediction model presents an area under the receiver operating characteristic curve (AUC) of 0.716 (95% confidence interval, 0.6914-0.7406), an accuracy rate of 0.6081, a sensitivity rate of 0.7113, and a specificity rate of 0.505. Importance analysis indicated that semen volume was the most vital variable in predicting IUI clinical pregnancy.

CONCLUSIONS

The machine learning-based IUI clinical pregnancy prediction model showed a promising predictive efficacy that could provide a potent tool to guide selecting targeted infertile couples beneficial from IUI treatment, and also identify which parameters are most relevant in IUI clinical pregnancy.

Tobacco or marijuana use and infertility: a committee opinion

In the United States, approximately 21% of adults report some form of tobacco use, although 18% report marijuana use. Although the negative impact of tobacco use in pregnancy is well documented, the impact of tobacco and marijuana on fertility and reproduction is less clear. This committee opinion reviews the potential deleterious effects of tobacco, nicotine, and marijuana use on conception, ovarian follicular dynamics, sperm parameters, gamete mutations, early pregnancy, and assisted reproductive technology outcomes. It also reviews the current status of tobacco smoking cessation strategies. This document replaces the 2018 American Society for Reproductive Medicine Practice Committee document entitled Smoking and Infertility: a committee opinion (Fertil Steril 2018).

An Algorithm to Predict the Lack of Pregnancy after Intrauterine Insemination in Infertile Patients

Increasing intrauterine insemination (IUI) success rates is essential to improve the quality of care for infertile couples. Additionally, straight referral of couples with less probability of achieving a pregnancy through IUI to more complex methods such as in vitro fertilization is important to reduce costs and the time to pregnancy. The aim of the present study is to prospectively evaluate the threshold values for different parameters related to success in intrauterine insemination in order to provide better reproductive counseling to infertile couples, moreover, to generate an algorithm based on male and female parameters to predict whether the couple is suitable for achieving pregnancy using IUI. For that, one hundred ninety-seven infertile couples undergoing 409 consecutive cycles of intrauterine insemination during a two-year period were included. The first year served as a definition of the parameters and thresholds related to pregnancy achievement, while the second year was used to validate the consistency of these parameters. Subsequently, those parameters that remained consistent throughout two years were included in a generalized estimating equation model (GEE) to determine their significance in predicting pregnancy achievement. Parameters significantly associated with the lack of pregnancy through IUI and included in the GEE were (p < 0.05): (i) male age > 41 years; (ii) ejaculate sperm count < 51.79 x 106 sperm; (iii) swim-up alkaline Comet > 59%; (iv) female body mass index > 45 kg/m2; (v) duration of infertility (>84 months), and (vi) basal LH levels > 27.28 mUI/mL. The application of these limits could provide a pregnancy prognosis to couples before undergoing intrauterine insemination, therefore avoiding it in couples with low chances of success. The retrospective application of these parameters to the same cohort of patients would have increased the pregnancy rate by up to 30%.

Is There a Relationship between Sperm DNA Fragmentation and Intra-Uterine Insemination Outcome in Couples with Unexplained or Mild Male Infertility? Results from the ID-Trial

BACKGROUND

Sperm DNA fragmentation has been proposed as a candidate test for the assessment of sperm function on the premise that damage to the sperm chromatin is associated with a detrimental reproductive outcome. The objective of our study was to investigate whether sperm DNA fragmentation testing has a prognostic value, and thus can play a pivotal role in selecting future patients for intra-uterine insemination (IUI) therapy.

METHODS

This was a prospective cohort study conducted in a University Hospital setting. SDF was measured through TUNEL assay on the fresh semen sample presented at diagnosis and at insemination in couples with idiopathic/mild male infertility undergoing natural cycle IUI treatment. The generalized estimating equation (GEE)-model and multivariable model were used to analyze the probability of live birth and clinical pregnancy, respectively. ROC analysis was carried out to determine an SDF cut-off.

RESULTS

There was an inverse relationship between SDF in the ejaculate of the diagnostic semen sample and CP (p = 0.02; OR 0.94 95% CI (0.90, 0.989)) as well as LB (p = 0.04; OR 0.95 95% CI (0.90, 0.9985)). No significant association was found between SDF after gradient and IUI outcome in the diagnostic sample nor between SDF (ejaculate/after gradient) in the IUI samples. The ROC analysis proposed a cutoff of 17.5% as the best compromise between sensitivity and specificity in the diagnostic SDF for live birth; however, the test diagnostics are low, with an AUC of 0.576.

CONCLUSIONS

Overall, this study strengthens the hypothesis of an inverse relationship between SDF and CP/LB. Furthermore, SDF taken together with other clinical characteristics might provide more insight into male reproductive potential and predicting IUI outcome. Couples with SDF ≥ 17.5% in the diagnostic semen sample did not reach live birth. Further research is necessary to establish the diagnostic and prognostic potential of SDF as an add-on test.

Effect of ovulation before or after intrauterine insemination on pregnancy outcome in patients with unexplained infertility or polycystic ovarian syndrome

OBJECTIVE

To investigate the relationship between ovulation and pregnancy outcomes in patients undergoing intrauterine insemination (IUI).

METHODS

The clinical data from 784 patients, diagnosed with polycystic ovarian syndrome (PCOS) or unexplained infertility, underwent 1624 IUI cycles were analyzed retrospectively. Ovulation was observed by transvaginal ultrasonography on the day of IUI. The clinical pregnancy rate (CPR), abortion rate (AR), and live birth rate (LBR) were analyzed.

RESULTS

The study included 1031 pre-ovulation IUI cycles (63.49%) and 593 post-ovulation IUI cycles (36.51%). The CPR was 13.05%, the AR was 15.57%, and the LBR was 11.02%. Ovulation before or after IUI affected the CPR (11.06% VS 16.53%, p = .002) and LBR (9.41% VS 13.83%, p = .006) per cycle, but did not affect the AR (14.91% VS 16.33%, p = .149). The sex ratio of children was not related to ovulation (p = .948). After adjusting for baseline characteristics and logistic regression, the CPR (OR = 1.931, 95% CI 1.062-1.931, p = .019) and LBR (OR = 1.389, 95% CI 1.007-1.916, p = .045) of post-ovulation insemination were higher than those of pre-ovulation insemination significantly.

CONCLUSION

Pregnancy outcomes were affected by ovulation on the day of IUI in patients with unexplained infertility or PCOS. Post-ovulation insemination may improve the CPR of IUI.

Factors influencing pregnancy outcome with special attention to modified slow-release insemination and a patient-centred approach in a donor insemination programme: a prospective cohort study

Introduction: A higher pregnancy rate after slow-release insemination instead of bolus injection was described in previous studies. Besides an effective medical treatment most patients wish to receive a patient-centred approach with sufficient emotional support. Study question: Does a patient-friendly approach with slow-release insemination (SRI) increase the clinical pregnancy rate (CPR) after intrauterine insemination (IUI) with donor semen? Study design, size, duration: The data of an ongoing prospective cohort study were analysed investigating the results of 1995 donor inseminations in 606 women from July 2011 until December 2018. As from January 2016 the insemination procedure was performed by midwives instead of medical doctors. Instead of bolus injection of sperm a slow-release IUI was done together with a more patient-centred approach. Materials and Methods: The data of 1995 donor inseminations were analysed to study the importance of different covariates influencing IUI success. Generalized estimating equations (GEEs) were used for statistical analysis. Results of two periods (2011-2015 and 2016-2018) were examined and compared. Results: Clinical pregnancy rates (with foetal heartbeat) following donor inseminations increased from 16.6 % to 20.8 % per cycle, a non-significant increase (p=0.061). Conclusion: A more patient-friendly approach with slow-release of processed semen resulted in a non-significant higher clinical pregnancy rate of 4.2 % per cycle after donor insemination.

Fertility Outcome and Safety of Ethiodized Poppy Seed Oil for Hysterosalpingography in 1,053 Infertile Patients: A Real-World Study

Objective

Ethiodized poppy seed oil for hysterosalpingography (HSG) is reported to display some therapeutic effect on infertility, but big a sample-size study under real clinical settings is still lacking to verify the speculation. Thus, this real-world study enrolled 1,053 infertile patients who underwent ethiodized poppy seed oil-based HSG to explore its fertility enhancement value.

Method

A total of 1,053 infertile patients who underwent HSG using ethiodized poppy seed oil as the contrast medium were retrospectively analyzed. The live birth rate and 3-, 6-, 12-month and total pregnancy rate were retrieved. Besides, adverse events during and after HSG were recorded.

Results

The 3-, 6-, 12-month and total pregnancy rate was 22, 36.8, 50, and 53.8%, respectively. The total live birth rate was 42.7%. Sub-group analyses showed that pregnancy rate was 53.7, 53.8, 54.1, and 62.4% in subgroups of primary infertility patients, secondary infertility patients, infertility patients with fallopian tube disease, and infertility patients with unknown cause, respectively. Meanwhile the live birth rate was 44.3, 41.3, 41.5, and 59.2% in these subgroups, separately. Multivariate logistic regression analysis disclosed that BMI ≥ 24 kg/m², history of dysmenorrhea, and abnormity of sperm count or motility-related infertility were independently correlated with reduced pregnancy rate and livebirth rate (All Ps < 0.05). Adverse events mainly included pain (20.6%) and interstitial reflux (7.9%), which were mild and tolerable.

Conclusion

Ethiodized poppy seed oil for HSG discloses a satisfying fertility outcome with a tolerable safety profile in infertile patients; meanwhile, this effect might be influenced by BMI, history of dysmenorrhea, and paternal abnormity of sperm.

The step-up protocol increases clinical pregnancy rates compared with the step-down in patients with unexplained infertility. A randomized controlled trial

OBJECTIVE

Unexplained infertility is a relevant indication for controlled ovarian stimulation associated to intrauterine insemination. The "step-up" and "step-down" gonadotropin-based protocols were designed to reduce multiple pregnancy and ovarian hyperstimulation syndrome in polycystic ovary syndrome patients, but there is no related evidence in normoovulatory women undergoing intrauterine insemination. Our aim was to compare the efficacy and safety of both protocols with intrauterine insemination in unexplained infertility patients.

METHODS

Randomized clinical trial including 145 women with unexplained infertility randomly following the step-up (n=73) or step-down (n=72) protocol. In the step-up group, patients started on day 3 of a spontaneous cycle administrating recombinant FSH 75IU sc/day, increasing it to 150IU if no response after 7 days. In the step-down, patients started administrating 150IU sc/day, constantly decreasing it to 75IU after 5 days. Recombinant hCG was administered when a follicle reached ≥18mm diameter.

RESULTS

Clinical pregnancy rate was higher in the step-up group than in the step-down (20.5% vs . 8.3%; p =0.037). Significant differences between step-up and step-down protocols were found regarding days of rFSH administration (8.83±4.01% vs . 7.42±2.18%; p =0.001) and cancellation rate due to hyper response (8.21% vs . 25%; p =0.05). No differences were detected in miscarriage rates, multiple pregnancy rates/cycle and hyper stimulation syndrome incidence.

CONCLUSIONS

The step-up protocol is longer-lasting but more effective obtaining pregnancies than the step-down in patients with unexplained infertility undergoing intrauterine insemination. This effect could be explained by lower cancellation rates due to ovarian hyper response than the step-down protocol, with no differences in ovarian hyper stimulation syndrome incidence.

Improving IUI success by performing modified slow-release insemination and a patient-centred approach in an insemination programme with partner semen: a prospective cohort study

Background

Pregnancy rates after in vitro fertilisation (IVF) treatment continue to improve, while intrauterine insemination (IUI) programmes show no such trend. There is a need to improve success rates with IUI to retain it as a viable option for couples who prefer avoiding IVF as a first line treatment.

Objective

To investigate if a modified slow-release insemination (SRI) increases the clinical pregnancy rate (CPR) after intrauterine insemination (IUI) with partner semen.

Materials and Methods

This was a prospective cohort study in a Belgian tertiary fertility centre. Between July 2011 and December 2018, we studied data from an ongoing prospective cohort study including 989 women undergoing 2565 IUI procedures for unexplained or mild/moderate male infertility. These data were analysed in order to study the importance of different covariates influencing IUI success. Generalised estimating equations (GEEs) were used for statistical analysis. Results of two periods (2011-2015, period 1 and 2016-2018, period 2) were examined and compared. From January 2016 (period 2) onwards, a standardised SRI procedure instead of bolus injection of sperm was applied. The primary outcome parameter was the difference in clinical pregnancy rate (CPR) per cycle between period 1 (bolus IUI) and period 2 (modified SRI). Secondary outcome results included all other parameters significantly influencing CPR after IUI.

Results

Following the application of modified SRI the CPR increased significantly, from 9.03% (period 1) to 13.52% (period 2) (p = 0.0016). Other covariates significantly influencing CPR were partner’s age, smoking/ non-smoking partner, BMI patient, ovarian stimulation protocol and Inseminating Motile Count (after semen processing).

Conclusion

The intentional application of modified slow-release of processed semen appears to significantly increase CPRs after IUI with homologous semen. Future studies should investigate whether SRI, patient-centred measures, or a combination of both, are responsible for this improvement.

Negative Impact of Elevated DNA Fragmentation and Human Papillomavirus (HPV) Presence in Sperm on the Outcome of Intra-Uterine Insemination (IUI)

We wanted to determine the sperm DNA fragmentation index (DFI) cutoff for clinical pregnancies in women receiving intra-uterine insemination (IUI) with this sperm and to assess the contribution of Human Papillomavirus (HPV) infection on sperm DNA damage and its impact on clinical pregnancies. Prospective non-interventional multi-center study with 161 infertile couples going through 209 cycles of IUI in hospital fertility centers in Flanders, Belgium. Measurement of DFI and HPV DNA with type specific quantitative PCRs (HPV 6, 11, 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66 and 68) in sperm before its use in IUI. Clinical pregnancy (CP) rate was used as the outcome to analyze the impact on fertility outcome and to calculated the clinical cutoff value for DFI. A DFI criterion value of 26% was obtained by receiver operating characteristic (ROC) curve analysis. Couples with a male DFI > 26% had significantly less CPs than couples with DFI below 26% (OR 0.0326; 95% CI 0.0019 to 0.5400; p = 0.017). In sperm, HPV prevalence was 14.8%/IUI cycle. Sperm samples containing HPV had a significantly higher DFI compared to HPV negative sperm samples (29.8% vs. 20.9%; p = 0.011). When HPV-virions were present in sperm, no clinical pregnancies were observed. More than 1 in 5 of samples with normal semen parameters (17/78; 21.8%) had an elevated DFI or was HPV positive. Sperm DFI is a robust predictor of clinical pregnancies in women receiving IUI with this sperm. When DFI exceeds 26%, clinical pregnancies are less likely and in vitro fertilization techniques should be considered.

The interval between insemination and ovulation predicts outcome after intrauterine insemination with donor sperm (IUI-D)

OBJECTIVE

To identify whether the time interval from insemination to ovulation (I-O interval) affects outcome after intrauterine insemination with donor sperm (IUI-D).

METHODS

A retrospective study was conducted in a public assisted reproductive medicine center between January, 2014 and December, 2016 in Xi'an, China. The data were collected from the medical records and generalized estimating equations (GEEs) were used to evaluate the effects of various variables on IUI outcome.

RESULTS

A total of 2091 IUI-D cycles from 1165 couples were included in this study. Multiple predictors were identified for (live birth rate) LBR. The I-O interval was the predictor for LBR. An I-O interval ≥19 h significantly decreased CPR (odds ratio [OR], 95% confidence interval [CI]: 0.29, 0.17-0.48) and LBR (OR, 95% CI: 0.32, 0.19-0.55). The presence of at least two follicles ≥18 mm on ovulation day significantly increased the LBR (OR, 95%CI: 1.27, 1.01-1.60). Women aged 35 years and older had a significantly decreased LBR (OR, 95% CI: 0.61, 0.38-0.98).

CONCLUSION

The I-O interval, a new prognostic factor, in combination with the woman's age and number of mature follicles, can predict the outcome after IUI-D. IUI-D is best performed within 19 h of I-O interval for a higher probability of clinical pregnancy and live birth.

Time intervals between semen production, initiation of analysis, and IUI significantly influence clinical pregnancies and live births

PURPOSE

Does IDEF mapping help monitor the technical process of IUI and explore the potential improvements which might contribute to increased pregnancy and live birth rates?

METHOD

Retrospective analysis of 1729 homologous IUI cycles of couples attending a fertility clinic in a university hospital setting. Standardized conventional semen parameters were analyzed and the semen samples prepared via discontinuous density gradient centrifugation.

RESULTS

There was no significant association between sperm concentration, motility and morphology (analysis phase), and pregnancy outcome. Only female and male ages were significantly associated with the pregnancy outcome. There was a significant difference in the odds on clinical pregnancies and live births when analysis was ≤ 21 min initiated, and < 107 min between sample production and IUI, adjusted for male and female age.

CONCLUSIONS

Adjusting for the couple's age, we could show that time intervals between semen production and analysis and IUI when kept low significantly influenced clinical pregnancies and live births.

Ovulation before or after intrauterine insemination does not affect live birth rates: a retrospective cohort study of 6701 cycles

RESEARCH QUESTION

Should intrauterine insemination be carried out before or after follicle rupture, and is there a difference in sex ratio, according to follicle rupture at the time of insemination?

DESIGN

In this retrospective cohort study conducted at the Fertility Clinic, Odense University Hospital, Denmark, data from 6701 homologous insemination cycles were analysed. Follicle rupture was determined by transvaginal ultrasonography at the time of insemination. The pregnancy rate, clinical pregnancy rate (CPR) and live birth rate (LBR) were recorded.

RESULTS

In 2831 cycles (42.2%), follicle rupture had occurred at the time of insemination, whereas, in 3870 cycles (57.8%), no follicle rupture had occurred at the time of insemination. Overall, 1186 (17.7%) cycles resulted in a positive pregnancy test and no significant differences were found in pregnancy rate between rupture and no rupture of follicle (17.8% versus 17.7%, P = 0.90). Follicle rupture before or after insemination did not affect CPR (14.8% versus 15.0%, P = 0.86) or LBR (11.9% versus 12.2%, P = 0.75) per cycle. Moreover, the sex ratio of children born did not depend on follicle rupture (P = 0.20). After logistic regression with cluster and adjusting for baseline characteristics, no significant differences between groups were observed.

CONCLUSION

Ovulation at the time of insemination is not associated with pregnancy rate, CPR, LBR or gender.

Prewash and postwash total progressively motile sperm counts have poor predictive value for clinical pregnancy after intrauterine insemination

OBJECTIVE

To evaluate the predictive value of the prewash and postwash total progressively motile sperm counts (TPMSC) on clinical pregnancy after intrauterine insemination (IUI) .

METHODS

A review of medical records of women undergoing 2064 IUI cycles in a university hospital between April 2010 and October 2018.

RESULTS

No pregnancies were seen when the prewash TPMSC was less than 9 million or the postwash TPMSC was less than 2 million. There was no correlation between TPMSC and clinical pregnancies. Further analysis was made in pregnancies after prewash TPMSC of 3-10 million and more than 10 million, and after postwash TPMSC of 10-100 million and more than 100 million. No correlation was found between TPMSC and clinical pregnancy in different strata of female age, infertility duration, type of infertility, type of IUI treatment, and the number of treatment cycles. A negative relationship was found for unstimulated IUI treatment and the number of treatment cycles. The prewash and postwash TPMSC showed no predictive value.

CONCLUSION

Prewash and postwash TPMSC have poor predictive value for clinical pregnancy in IUI. Cycles with a prewash TPMSC of 10-100 million or postwash TPMSC of 3-10 million could achieve acceptable pregnancy rates with IUI.

Live birth after intrauterine insemination: is there an upper cut-off for the number of motile spermatozoa inseminated?

RESEARCH QUESTION

To date, most studies have investigated the minimum number of spermatozoa available for intrauterine insemination (IUI), with no data on the maximum number of motile spermatozoa inseminated (NMSI) having been published. This study aimed to determine whether an upper cut-off for the NMSI during IUI exists above which the live birth rate (LBR) is negatively affected.

DESIGN

Retrospective analysis of autologous IUI cycles performed between January 2010 and July 2018 in women <43 years old with a NMSI >1 million. The main outcome was the LBR per IUI cycle as a function of the NMSI.

RESULTS

A total of 2592 IUI cycles performed in 1017 couples were included. The LBR increased with NMSI up to 30 million without any upper threshold (AUC = 0.5441). The LBR per IUI cycle were 14.5%, 17.9% and 22.7% for NMSI of >1 to ≤10, >10 to ≤20 and >20 to ≤30 million, respectively (P = 0.003). By univariate analysis, the NMSI, female age, number of mature follicles and oestradiol concentrations on day of ovulation triggering, cycle number and infertility aetiology influenced the LBR. Multivariate analysis showed that the LBR was 1.49 and 1.78 times higher when IUI was performed with a NMSI >10 to ≤20 million (odds ratio [OR] 1.49; 95% confidence interval [CI] 1.10-2.02]) and >20 to ≤30 million (OR 1.78; 95% CI 1.08-2.94), respectively, compared with IUI with a NMSI >1 to ≤10 million.

CONCLUSIONS

The LBR after IUI can be optimized by inseminating a maximum of motile spermatozoa up to 30 million. Thus, in this specific cohort, IUI preparations should not be diluted when more than 10 million motile spermatozoa are obtained.

Conversion of in vitro fertilization cycles to intrauterine inseminations in patients with a poor ovarian response: Risk of multiple pregnancies

PURPOSE

To determine the risk of multiple pregnancies (MP) following conversion of in vitro fertilization (IVF) cycles to intrauterine insemination (IUI) when a poor ovarian response (POR) is diagnosed during controlled ovarian stimulation (COS).

METHODS

We undertook a retrospective study in our teaching hospital from January 2012 to December 2017. We included all IVF cycles with POR that were converted to IUI (<5 follicles ≥ 14 mm and peak estradiol level < 1000 pg/mL on trigger day).

RESULTS

Overall, 205 IVF cycles that were converted to IUI in 128 patients were analyzed. Mean age was 34.1 ± 4.6 years, mean antral follicle count was 11 ± 5.3 and mean AMH was 1.8 ± 2.9 ng/L. The main causes of infertility were unexplained (41 %) (84/205) and diminished ovarian reserve (35 %) (72/205). Of all the cycles converted to IUI, 53 (26 %) had one mature follicle on trigger day, 56 (27 %) had 2, 56 (27 %) had 3, and 40 (20 %) had 4. The live birth rate (LBR) was 7.3 % (15/205), and the miscarriage rate was 28.6 % (6/21). There were 3 twin pregnancies, but no higher order pregnancies; the MP rate was 14.3 % (3/21). There was no significant difference in the MP rate between patients with 1-2 mature follicles and patients with 3-4 mature follicles (18.2 % vs 10 %, p = 0.99, respectively).

CONCLUSION

In IVF cycles converted to IUI for poor response, the risk of MP is acceptable (14 %) with no higher order pregnancies, even with 3 or 4 follicles ≥14 mm on trigger day.

Intrauterine insemination performance characteristics and post-processing total motile sperm count in relation to live birth for couples with unexplained infertility in a randomised, multicentre clinical trial

STUDY QUESTION

Are intrauterine insemination (IUI) performance characteristics and post-processing total motile sperm count (TMC) related to live birth rate in couples with unexplained infertility?

SUMMARY ANSWER

Patient discomfort with IUI and lower inseminate TMC were associated with a reduced live birth rate, while time from hCG injection to IUI, sperm preparation method and ultrasound guidance for IUI were not associated with live birth success.

WHAT IS ALREADY KNOWN

We previously determined that some baseline characteristics of couples with unexplained infertility, including female age, duration of infertility, history of prior loss and income, were related to live birth rate across a course of ovarian stimulation and IUI treatment. However, the relationship between treatment outcomes and per-cycle characteristics, including ultrasound guidance for IUI, timing of IUI relative to hCG injection, difficult or painful IUI and inseminate TMC, are controversial, and most prior investigations have not evaluated live birth outcome.

STUDY DESIGN, SIZE, DURATION

This was a secondary analyses of 2462 cycles from the Assessment of Multiple Intrauterine Gestations from Ovarian Stimulation (AMIGOS) clinical trial. This prospective, randomised, multicentre clinical trial determined live birth rates following IUI after ovarian stimulation with clomiphene citrate, letrozole or gonadotropins in 854 couples with unexplained infertility. It was conducted between 2011 and 2014, and couples could undergo up to four consecutive treatment cycles.

PARTICIPANTS/MATERIALS, SETTING, METHODS

AMIGOS was an NIH-sponsored Reproductive Medicine Network trial conducted at 12 clinical sites. Participants were women with unexplained infertility who were between 18 and 40 years of age. Cluster-weighted generalised estimating equations (GEE), which account for informative clustering of multiple IUI treatment cycles within the same patient, were used to determine associations between IUI performance characteristics, including inseminate TMC, and live birth rate. Efficiency curves were also generated to examine the relationship between inseminate TMC and live birth rate.

MAIN RESULTS AND THE ROLE OF CHANCE

After adjustment for treatment group and baseline factors previously associated with live birth across a course of OS-IUI treatment, patient discomfort during the IUI procedure was associated with a reduction in live birth rate (aRR 0.40 (0.16-0.96)). Time from hCG trigger injection to IUI was not significantly associated with outcome. Higher TMC was associated with greater live birth rate (TMC 15.1-20.0 million (14.8%) compared to ≤5 million (5.5%)) (aRR 2.09 (1.31-3.33)). However, live births did occur with TMC ≤ 1 million (5.1%).

LIMITATIONS, REASONS FOR CAUTION

This investigation is a secondary analysis, and AMIGOS was not designed to address the present question. Since timed intercourse was allowed as part of the AMIGOS trial, we cannot rule out the possibility that any given pregnancy resulted from intercourse rather than IUI.

WIDER IMPLICATIONS OF THE FINDINGS

Most factors associated with the performance of IUI were not significantly related to obtaining live birth. Our findings suggest that higher TMC inseminated leads to an increase in live birth rate up to TMC ~20 million. However, there may be no reasonable threshold below which live birth is not possible with IUI.

STUDY FUNDING/COMPETING INTEREST(S)

Funding was received through grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD): U10 HD077680, U10 HD39005, U10 HD38992, U10 HD27049, U10 HD38998, U10 HD055942, HD055944, U10 HD055936 and U10 HD055925. This research was made possible by funding by the American Recovery and Reinvestment Act. Dr Hansen reports grants from NIH/NICHD and Yale University during the conduct of the study, grants from Roche Diagnostics and grants from Ferring International Pharmascience Center US outside the submitted work. Dr Peck reports support from Ferring Pharmaceuticals outside the submitted work. Dr Coward has nothing to disclose. Dr Wild reports grants from NICHD during the conduct of the study. Dr Trussell has nothing to disclose. Dr Krawetz reports grants from NICHD during the conduct of the study, grants from Merck and support from Taylor and Frances and from Springer, outside the submitted work. Dr Diamond reports grants from NIH/NICHD, Yale University, during the conduct of the study and support from Advanced Reproductive Care AbbVie, Bayer and ObsEva, outside the submitted work. Dr Legro reports support from Bayer, Kindex, Odega, Millendo and AbbVie and grants and support from Ferring, outside the submitted work. Dr Coutifaris reports grants from NICHD/NIH and personal fees from American Society for Reproductive Medicine, outside the submitted work. Dr Alvero has nothing to disclose. Dr Robinson reports grants from NIH during the conduct of the study. Dr Casson has nothing to disclose. Dr Christman reports grants from NICHD during the conduct of the study. Dr Santoro reports grants from NIH during the conduct of the study. Dr Zhang reports grants from NIH during the conduct of the study and support from Shangdong University outside the submitted work.

TRIAL REGISTRATION NUMBER

n/a.

Diagnostic value of routine semen analysis in clinical andrology

Infertility is a major health issue affecting over 48.5 million couples around the world, with the male factor accounting for about 50% of the cases. The conventional semen analysis recommended by the World Health Organization (WHO) is the cornerstone in the evaluation of male fertility status. It includes macroscopic and microscopic evaluation of the ejaculate, which reflects the production of spermatozoa in the testes, the patency of the duct system and the glandular secretory activity. Evaluation of seminal fructose, sperm vitality and leucocytes (Endtz test) are useful adjuncts to semen analysis that provide information on specific clinical conditions. Though several computer-assisted sperm analysis (CASA) systems have been developed, conventional methods for semen analysis are still widely accepted in clinical practice. This review summarises the conventional techniques used in routine semen analysis and their diagnostic value in clinical andrology.

Pregnancy rates after slow-release insemination (SRI) and standard bolus intrauterine insemination (IUI) - A multicentre randomised, controlled trial

This multicentre, randomised, controlled cross-over trial was designed to investigate the effect of intra-uterine slow-release insemination (SRI) on pregnancy rates in women with confirmed infertility or the need for semen donation who were eligible for standard bolus intra-uterine insemination (IUI). Data for a total of 182 women were analysed after randomisation to receive IUI (n = 96) or SRI (n = 86) first. The primary outcome was serological pregnancy defined by a positive beta human chorionic gonadotropin test, two weeks after insemination. Patients who did not conceive after the first cycle switched to the alternative technique for the second cycle: 44 women switched to IUI and 58 switched to SRI. In total, there were 284 treatment cycles (IUI: n = 140; SRI: n = 144). Pregnancy rates following SRI and IUI were 13.2% and 10.0%, respectively, which was not statistically significant (p = 0.202). A statistically significant difference in pregnancy rates for SRI versus IUI was detected in women aged under 35 years. In this subgroup, the pregnancy rate with SRI was 17% compared to 7% with IUI (relative risk 2.33; p = 0.032) across both cycles. These results support the hypothesis that the pregnancy rate might be improved with SRI compared to standard bolus IUI, especially in women aged under 35 years.

Twenty-one year experience with intrauterine inseminations after controlled ovarian stimulation with gonadotropins: maternal age is the only prognostic factor for success

PURPOSE

To report our experience on homologous intrauterine insemination (IUI) with gonadotropin controlled ovarian stimulation (COS) cycles and to examine different variables which could predict IUI success.

MATERIALS AND METHODS

This is a retrospective analysis of IUIs performed between January 1997 and December 2017. A total of 7359 COS IUI's procedures (2901 couples) were reviewed. Clinical pregnancy, live birth rate and age, body mass index (BMI), smoking habit, duration of infertility, sperm characteristics before and after treatment (total motile count, morphology, and vitality), day 3 FSH, total gonadotropin dose, and number of follicles were assessed by multivariate logistic regression analysis, and data were expressed as odds ratio (OR).

RESULTS

The mean female age at the time of COS was 35.10 ± 3.93 years. The most common single infertility diagnoses were unexplained infertility (53.55%), mild male factor (19.69%), and anovulation (10.95%). The total progressive motile sperm count (TPMC) was > 1 × 106/ml (mean 1.34 ± 1.08 × 106/ml). The clinical pregnancy rate was 9.38%, and the live birth rate was 7.19% per cycle. Twin pregnancies were 12.17%. Cumulative pregnancy was 21.89% and cumulative live birth rate was 17.58% per couple. Clinical pregnancy and live birth rates were significantly associated with female age [OR 0.97 (95% CI 0.95-0.99) and 0.95 (95% CI 0.93-0.97), respectively] and day 3 FSH [OR 0.91 (95% CI 0.87-0.94) e 0.90 (95% CI 0.87-0.94), respectively].

CONCLUSIONS

Clinical pregnancy rate and live birth rates after COS-IUIs were significantly influenced by female age and FSH levels.

TRIAL REGISTRATION

Clinical trial registration number: NCT03836118.

Prewash total motile count is a poor predictor of live birth in intrauterine insemination cycles

OBJECTIVE

To determine whether there is a relationship between prewash total motile count and live births in couples undergoing IUI.

DESIGN

Retrospective review in a single academic center.

SETTING

Not applicable.

PATIENT(S)

Couples with infertility undergoing ovulation induction with IUI between 2010 and 2014.

INTERVENTION(S)

Not applicable.

MAIN OUTCOME MEASURE(S)

Live births.

RESULT(S)

Our cohort included 310 women who underwent 655 IUI cycles with a cumulative live birth rate (LBR) per couple of 20% and an LBR per cycle of 10%. A analysis yielded no correlation between prewash total motile count (TMC) and live births. No live births occurred with TMC <2 million sperms. Age had a significant negative relationship to LBR. A receiver operating characteristic analysis comparing age and live births indicated a significant decline in live births for women >37 years (90% sensitivity, 70% specificity). The LBR per couple was decreased to 7% in women >37 years compared with 25% in women <37 years.

CONCLUSION(S)

Prewash TMC is a poor predictor of live birth. There were no live births with prewash TMC <2 million sperms. The LBR for women >37 years with IUI was significantly lower than women <37 years.

Age-specific anti-Mullerian hormone (AMH) levels poorly affects cumulative live birth rate after intra-uterine insemination

Objective

To evaluate the impact of age-specific anti-Mullerian (AMH) levels on the cumulative live birth rate after 4 intra uterine inseminations (IUI).

Study Design

The retrospective study study involved 509 couples who underwent their first IUI between January 2011 and July 2017 in the Toulouse University Hospital. All IUI were performed after an ovarian stimulation combining recombinant FSH and GnRH antagonist. The main measure outcome was the cumulative live birth rate (LBR) defined as the number of deliveries with at least one live birth resulting from a maximum of 4 IUI attempts.

Results

When compared to normal or high levels, low age-specific AMH (<25th of the AMH in each age group) was associated to a non-significant lower live birth rate (31%, 38% and 42% respectively for low, normal and high age-specific groups; P = 0.170) and non-significant higher miscarriage rate (26%; 19% and 14% respectively for low, normal and high age-specific groups; P = 0.209). However, it must be pointed out that in low age-specific AMH the initial FSH doses used for stimulation were higher than in the other groups.

Conclusion

This study shows that the age-specific levels of AMH have only a slight effect on IUI outcome when adapting the stimulation protocols to their level.

IUI: review and systematic assessment of the evidence that supports global recommendations

BACKGROUND

IUI with or without ovarian stimulation (OS) has become a first-line treatment option for many infertile couples, worldwide. The appropriate treatment modality for couples and their clinical management through IUI or IUI/OS cycles must consider maternal and perinatal outcomes, most notably the clinical complication of higher-order multiple pregnancies associated with IUI-OS. With a current global emphasis to continue to decrease maternal and perinatal mortality and morbidity, the World Health Organization (WHO) had established a multi-year project to review the evidence for the establishment of normative guidance for the implementation of IUI as a treatment to address fertility problems, and to consider its cost-effectiveness for lower resource settings.

OBJECTIVE AND RATIONALE

The objective of this review is to provide a review of the evidence of 13 prioritized questions that cover IUI with and without OS. We provide summary recommendations for the development of global, evidence-based guidelines based upon methodology established by the WHO.

SEARCH METHODS

We performed a comprehensive search using question-specific relevant search terms in May 2015. For each PICO (Population, Intervention, Comparison and Outcomes) drafted by WHO, specific search terms were used to find the available evidence in MEDLINE (1950 to May 2015) and The Cochrane Library (until May 2015). After presentation to an expert panel, a further hand search of references in relevant reviews was performed up to January 2017. Articles that were found to be relevant were read and analysed by two investigators and critically appraised using the Cochrane Collaboration's tool for assessing risk of bias, and AMSTAR in case of systematic reviews. The quality of the evidence was assessed using the GRADE system. An independent expert review process of our analysis was conducted in November 2016.

OUTCOMES

This review provides an assessment and synthesis of the evidence that covers 13 clinical questions including the indications for the use of IUI versus expectant management, the sperm parameters required, the best and optimal method of timing and number of inseminations per cycle, prevention strategies to decrease multiple gestational pregnancies, and the cost-effectiveness of IUI versus IVF. We provide an evidence-based formulation of 20 recommendations, as well as two best practice points that address the integration of methods for the prevention of infection in the IUI laboratory. The quality of the evidence ranges from very low to high, with evidence that may be decades old but of high quality, however, we further discuss where critical research gaps in the evidence remain.

WIDER IMPLICATIONS

This review presents an evidence synthesis assessment and includes recommendations that will assist health care providers worldwide with their decision-making when considering IUI treatments, with or without OS, for their patients presenting with fertility problems.

Optimization of laboratory procedures for intrauterine insemination: survey of methods in relation to clinical outcome

BACKGROUND

There is a wide practice variation of used methods and outcomes in IUI in fertility laboratories. Standardization of the IUI procedure is important for reducing inconsistency among laboratories in counseling infertile couples and in pregnancy results. The aim of the study was to evaluate the currently used laboratory procedures of IUI in Dutch fertility laboratories and their effect on IUI pregnancy results. Additionally, the methods for semen analysis (SA) were evaluated, as SA is related to IUI in terms of inseminated sperm number and IUI counseling.

MATERIAL AND METHODS

This questionnaire survey study was sent to laboratories participating in the Dutch external quality control program for semen analysis (SKML) and consisted of 46 questions concerning laboratory management, methods for semen analysis and IUI, and clinical results. The results were analyzed using univariable and multivariable logistic regression models.

RESULTS

A total of 52 laboratories (out of 99) provided information on used methodologies for SA or laboratory procedures of IUI and the organization of the laboratory. A wide variability was confirmed in used methods for both SA and IUI. Evaluation of pregnancy results obtained during 3 years (2013-2015) showed that specific used laboratory methods have a significant effect on the probability of becoming pregnant.

DISCUSSION AND CONCLUSION

Important to remark is that in this survey study cycle-specific data, including variables of the individual couples (age, stimulation protocol, etc), were not included and may have effects on the results. The reported results provide an overview of the current practice performance; however, the organization of fertility laboratories is changing rapidly. The use of standardized methods in IUI is important for optimizing the performance of care and improving pregnancy results. The knowledge on used procedures, however, is limited, and further research on factors involving SA and the IUI procedure is necessary.

Lifestyle causes of male infertility

Objective

To examine the potential effects of lifestyle factors on male reproductive health. Evidence of a global decline in human sperm quality over recent decades has been accumulating. Environmental, occupational, and modifiable lifestyle factors may contribute to this decline. This review focuses on key lifestyle factors that are associated with male infertility such as smoking cigarettes, alcohol intake, use of illicit drugs, obesity, psychological stress, advanced paternal age, dietary practices, and coffee consumption. Other factors such as testicular heat stress, intense cycling training, lack of sleep and exposure to electromagnetic radiation from mobile phone use are briefly discussed.

Materials and method

A comprehensive literature search was performed to identify and synthesise all relevant information, mainly from within the last decade, on the major lifestyle factors associated with male infertility and semen quality. Database searches were limited to reports published in English only. A manual search of bibliographies of the reports retrieved was conducted to identify additional relevant articles.

Results

In all, 1012 articles were identified from the database search and after reviewing the titles and abstract of the reports, 104 articles met the inclusion criteria. Of these, 30 reports were excluded as the full-text could not be retrieved and the abstract did not have relevant data. The remaining 74 reports were reviewed for data on association between a particular lifestyle factor and male infertility and were included in the present review.

Conclusion

The major lifestyle factors discussed in the present review are amongst the multiple potential risk factors that could impair male fertility. However, their negative impact may well be mostly overcome by behaviour modification and better lifestyle choices. Greater awareness and recognition of the possible impact of these lifestyle factors are important amongst couples seeking conception.