The impact of sperm morphology on the outcome of intrauterine insemination cycles with gonadotropins in unexplained and male subfertility

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.

Sperm morphology: Evaluating its clinical relevance in contemporary fertility practice

Background

The World Health Organization (WHO) recommends reporting sperm morphology in a standard semen analysis. However, the clinical utility and prognostic value of morphology is often debated.

Methods

We reviewed and summarized studies that assessed both the benefits and limitations of sperm morphology in the context of natural fertility, assisted reproductive technologies, and recurrent pregnancy loss. We additionally describe possible environmental and anatomical etiologies of teratozoospermia.

Results

Sperm morphology evaluation has continuously evolved since the release of the first WHO manual in 1980. Initially, several large studies reported significant inverse associations between fertility outcomes and teratozoospermia. Most recent studies, however, fail to show an association between sperm morphology and natural or assisted fertility outcomes.

Conclusion

Sperm morphology analysis may have limited diagnostic and prognostic value. Providers should be aware of these limitations when counseling or managing infertile patients.

Is There Any Effect of Change in Pre-Wash and Post-Wash Semen Parameters on the Success of Intrauterine Insemination?

(1) Background: We aimed to investigate the effect of change in pre-wash and post-wash semen parameters on intrauterine insemination (IUI) success in a homogenous study group. (2) Methods: IUI cycles conducted at an infertility clinic were included in this study. Patient records were examined retrospectively. Δ sperm count (per mL) was calculated as [pre-wash sperm count (per mL)-post-wash sperm count (per mL)]. Δ Total progressive motile sperm count (TPMSC) was also calculated as (post-wash TPMSC-pre-wash TPMSC). (3) Results: No statistically significant difference was detected in terms of Δ sperm count (p = 0.38), and Δ TPMSC (p = 0.76) regarding the clinical pregnancy rate (CPR). There was no statistically significant difference between CPR (+) and CPR (-) groups in terms of post-wash sperm count, TPMSC, TPMSC ≥ 10 × 10⁶, TPMSC ≥ 5 × 10⁶ (p = 0.65, p = 0.79, p = 0.49, p = 0.49, respectively). The live birth rate (LBR) showed no statistically significant differences except for a pre-wash TPMSC ≥ 10 × 10⁶ (p = 0.02). Through the performed ROC analysis, no statistically significant cutoff value could be set for the pre-wash TPMSC. (4) Conclusions: There is only a pre-wash TPMSC ≥ 10 × 10⁶ that showed a significant role in the success of IUI, even when considering all other pre-wash and post-wash semen parameters. Δ sperm count and Δ are not useful markers for IUI success.

[Impact of sperm morphology on pregnancy rates after intrauterine insemination]

INTRODUCTION AND OBJECTIVE

Sperm morphology has been used as a prognostic factor in in vitro fertilization, however, in intrauterine insemination (IUI) its predictive role is controversial. The aim of this study was to determine the impact of sperm morphology as isolated parameter of the spermiogram has on the probability of pregnancy in couples that are treated with IUI.

MATERIAL AND METHODS

Retrospective study of IUI cycles performed in the Reproductive Medicine Unit of Clínica Las Condes between January 2016 and December 2018. Logistic regression of the following variables: sperm morphology grouped in 0-1%, 2-3% and≥4%, total progressively motile sperm count inseminated, age of the woman and the man.

RESULTS

A total of 385 cases were included and clinical pregnancy was diagnosed in 85 of them. When separating into groups of sperm morphology<4% and≥4%, the pregnancy rate was 22% in both groups. The age of the woman was the only statistically significant factor in the logistic regression. The area under the ROC curve of sperm morphology as a predictor of pregnancy was 0.53.

CONCLUSIONS

Our study concludes that sperm morphology should not be considered as a single parameter when deciding whether or not a couple can be treated with IUI, eliminating isolated teratozoospermia as a direct indication for in vitro fertilization. It was not possible to determine a cut-off point for sperm morphology that serves as a predictor of pregnancy.

A comprehensive evaluation of pre- and post-processing sperm parameters for predicting successful pregnancy rate following intrauterine insemination with the husband's sperms

BACKGROUND

To determine the predictive values of sperm parameters pre- and post-processing by density gradient centrifugation for clinical pregnancy rates (CPRs) following artificial insemination by husband (AIH) in infertile Chinese couples.

METHODS

A total of 3,522 AIH cycles from 1,918 couples were retrospectively analyzed. The parameters were compared between the pregnant and non-pregnant groups and further between different etiological groups (Male-factor, Both-male-and-female-factor, and Other-factor). Multivariate logistic regression analysis was performed to create models for predicting the CPRs of each etiological group.

RESULTS

The overall CPR was 13.3%. There were significant improvements for most sperm parameters after DGC. Multivariate logistic regression analysis indicated that, in overall AIH cases, the top parameters significantly influencing the CPR of AIH were pre-STR (OR = 1.037; P = 0.048) and post-VSL (OR = 1.036; P = 0.011). In the Male-factor Group, the top influencing parameters were pre-VCL (OR = 2.096; P = 0.008), pre-LIN (OR = 1.930; P = 0.002) and post-VSL (OR = 1.316; P = 0.023). In the Both-factor Group, the top influencing parameters were pre-VCL (OR = 1.451; P = 0.008) and post-motility (OR = 1.218; P = 0.049). In the Other-factor Group, the top influencing parameters were pre-VAP (OR = 1.715; P = 0.024), pre-STR (OR = 1.20; P = 0.011) and post-VSL (OR = 1.04; P = 0.017). Moreover, receiver operating characteristic analysis showed that the logistic regression models of the Male- and Both-factor Groups had greater powers for prognostic classification than those of other groups.

CONCLUSIONS

This study demonstrated that some sperm parameters have a collinearity relationship in predicting the CPR following AIH. Moreover, the predictive capacity of a multivariate logistic regression model is better than those of individual parameters, especially for the Male- and Both-factor Groups. In these cases, pre-VCL is the common top influencing factor.

Poor reproducibility of percentage of normally shaped sperm using the World Health Organization Fifth Edition strict grading criteria

Objective

To determine the reproducibility of the World Health Organization Fifth Edition (WHO5) strict grading methodology by comparing the percentage of morphologically normal sperm (PNS) recorded by the core laboratory with results obtained at the fertility centers participating in a multisite clinical trial.

Design

Secondary cohort analysis of data from the Males, Antioxidants, and Infertility trial.

Setting

Fertility centers.

Patients

Semen values of 171 men participating in a multicenter, double-blind, randomized, placebo-controlled trial evaluating the effect of antioxidants on male fertility.

Interventions

Not applicable.

Main Outcome Measures

Strict morphology expressed as PNS as determined at each fertility center and the core central laboratory for the same semen sample.

Results

No correlation was found in the PNS values for the same semen sample between the core laboratory and fertility center laboratories either as a group or by individual site. Interobserver agreement was similarly low (κ = 0.05 and 0.15) between the core and fertility laboratories as a group for strict morphology, categorized by the WHO5 lower reference limits of 4% and 0, respectively. Moderate agreement was found between the core and 2 individual fertility laboratories for the cutoff value of 0 (κ = 0.42 and 0.57). The remainder of the comparisons demonstrated poor to fair agreement.

Conclusions

Strict morphology grading using the WHO5 methodology demonstrated overall poor reproducibility among a cohort of experienced fertility laboratories. This lack of correlation and agreement in the PNS values calls into question the reproducibility, and thereby the potential applicability, of sperm strict morphology testing.

Impaired semen quality, an increase of sperm morphological defects and DNA fragmentation associated with environmental pollution in urban population of young men from Western Siberia, Russia

Poor sperm morphology and an elevated DNA fragmentation level are considered to be related to spermiogenesis malfunctions as a result of genetic mutations and effects of environmental factors, including industrial pollution. Standardized cross-sectional population studies of sperm morphology defects and sperm DNA fragmentation, especially in regions with increased environmental pollution may be helpful to investigate an influence of industrial pollution and other population-related factors on spermiogenesis process. The aim of present study was to estimate an influence industrial pollution on sperm morphogenesis and sperm DNA fragmentation in men from the general population of the Western Siberia. The Novosibirsk and Kemerovo cities are located to same climatic conditions in Western Siberia but the Kemerovo city is characterized by increased environmental pollution especially by particulate matter (PM). The male volunteers living in Novosibirsk (n = 278) and Kemerovo (n = 258) were enrolled. Percentages of sperm morphological defects are counted after staining native ejaculate smears by Diff-Quick kits. DNA fragmentation was estimated by a SCSA technique. The residents of Kemerovo were characterized by lowered sperm count and sperm motility, elevated DNA fragmentation, poor sperm morphology and increased incidence of morphological effects of head (pyriform, elongated, round, abnormal acrosome and vacuolated chromatine), asymmetrical neck insertion and excess residual cytoplasm. Moreover, elevated DNA fragmentation was associated with lowered sperm count, sperm motility and increased percentages of several sperm morphology defects, with the place of residence affecting the relationships between conventional semen parameters, sperm morphology and DNA fragmentations. Our study suggests that excessive sperm head elongation and impaired acrosome formation can contribute to sperm morphology deterioration in men from polluted areas. Regional features in the relationships between sperm morphology, sperm count and DNA fragmentation were shown, suggesting an importance of studying sperm morphology pattern in men from different regions.

Predictive value of sperm motility before and after preparation for the pregnancy outcomes of intrauterine insemination

Objective

This study aimed to investigate sperm motility and its changes after preparation as predictors of pregnancy in intrauterine insemination (IUI) cycles.

Methods

In total, 297 IUI cycles from January 2012 to December 2017 at a single tertiary hospital were retrospectively analyzed. Patient and cycle characteristics, and sperm motility characteristics before and after processing were compared according to clinical pregnancy or live birth as outcomes.

Results

The overall clinical pregnancy rate per cycle was 14.5% (43/297) and the live birth rate was 10.4% (30/289). Patient and cycle characteristics were similar between pregnant and non-pregnant groups. Sperm motility after preparation and the total motile sperm count before and after processing were comparable in terms of pregnancy outcomes. Pre-preparation sperm motility was significantly higher in groups with clinical pregnancy and live birth than in cycles not resulting in pregnancy (71.4%±10.9% vs. 67.2%±11.7%, p=0.020 and 71.6%±12.6% vs. 67.3%±11.7%, p=0.030, respectively). The change in sperm motility after processing was significantly fewer in the non-pregnant cycles, both when the comparison was conducted by subtraction (post-pre) and division (post/pre). These relationships remained significant after adjusting for the female partner’s age, anti-Müllerian hormone level, and number of pre-ovulatory follicles. According to a receiver operating characteristic curve analysis, an initial sperm motility of ≥72.5% was the optimal threshold value for predicting live birth after IUI.

Conclusion

Initial sperm motility, rather than the motility of processed sperm or the degree of change after preparation, predicted live birth after IUI procedures.

Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population

Background: To determine the independent prognostic factors and develop a multivariate logistic regression model for predicting successful pregnancy following artificial insemination by husband (AIH) in infertile Chinese couples.

Methods: A total of 3,015 AIH cycles with superovulation from 1,853 infertile Chinese couples were retrospectively analyzed. The clinical characteristics and sperm parameters were compared between the pregnant and non-pregnant groups. Multivariate logistic regression analysis was performed to remove the confounding factors and create an equation to predict the successful pregnancy. Receiver operating characteristic (ROC) curves were constructed for evaluating the abilities for prognostic classification of the independent predictors and the equation.

Results: The overall pregnancy rate was 13.0%. The pregnancy rate of double intrauterine insemination (IUI) (18.9%) was significantly higher than that of single IUI (11.4%). The pregnancy rate of the stimulated cycle (14.4%) was significantly higher than that of the natural cycle (9.0%). The pregnancy rates of the age groups <40 years are ~3 times higher than that of the ≥40 years age group. Among sperm parameters, the influencing factors included straight-line velocity (VSL), sperm deformity index (SDI), and normal form rate (all P < 0.05). A multivariate logistic regression equation was created based on the above influencing factors. ROC analysis showed that the prognostic power of the equation is better than those of individual predictors.

Conclusion: Cycle treatment options, single/double IUI, female age, sperm VSL, SDI, and normal form rate could predict successful pregnancy following AIH in China. The multivariate logistic regression equation exhibited a greater value for prognostic classification than single predictors.

Relationship between sperm parameters and clinical outcomes of Intra Uterine Insemination (IUI)

Background:

Intrauterine insemination (IUI) is a widely utilized method for treating the infertile couples. The aim of the present study was to determine the pregnancy and abortion rates after IUI and to examine the relationship of sperm parameters with these rates.

Methods:

This retrospective study was performed on 911 infertile couples undergoing IUI treatment in Shahid Akbarabadi IVF Centre from May 2017 to May 2019. To evaluate the correlation of sperm parameters with the clinical pregnancy and abortion rates, odds ratio (OR) with 95% confidence intervals (CI) was calculated.

Results:

In this study, the pregnancy rate following IUI was 15.7% (143/911), and among women who achieved pregnancy, the abortion rate was 42.0% (60/143). According to the multiple logistic regression analysis, none of the sperm parameters was associated with the pregnancy rate. Couples with either male or female factor infertility etiologies were more likely to get pregnant than those with unexplained infertility. Regarding the abortion rate, multiple logistic regression analysis revealed that normal sperm count was related to a lower abortion rate (adjusted OR=0.25, 95% CI=0.07–0.91).

Conclusion:

The present study did not reveal a significant relationship between none of the sperm parameters and pregnancy rate after IUI treatment. However, among women who got pregnant, continuation of the pregnancy was associated with the normal sperm count. Furthermore, analysis of all semen parameters together in comparison to one parameter alone might be more accurate to predict pregnancy or abortion. Further prospective cohort studies with a large number of couples are required.

Genetic basis of acephalic spermatozoa syndrome, and intracytoplasmic sperm injection outcomes in infertile men: a systematic scoping review

PURPOSE

Acephalic spermatozoa syndrome (ASS) is known as a severe type of teratozoospermia, defined as semen composed of mostly headless spermatozoa that affect male fertility. In this regard, this systematic review aimed to discuss gene variants associated with acephalic spermatozoa phenotype as well as the clinical outcomes of intracytoplasmic sperm injection (ICSI) treatment for the acephalic spermatozoa-associated male infertility.

METHODS

A systematic search was performed on PubMed, Embase, Scopus, and Ovid databases until May 17, 2020. This systematic scoping review was reported in terms of the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) statement.

RESULTS

Twenty articles were included in this systematic review. Whole-exome and Sanger sequencing have helped in the identification of variants in SUN5, PMFBP1, BRDT, TSGA10, DNAH6, HOOK1, and CEP112 genes as possible causes of this phenotype in humans. The results of the ICSI are conflicting due to both positive and negative reports of ICSI outcomes.

CONCLUSION

ASS has a genetic origin, and several genetic alterations related to the pathogenesis of this anomaly have been recently identified. Notably, only SUN5 and PMFBP1 mutations are well-known to be implicated in ASS. Accordingly, more functional studies are needed to confirm the pathogenicity of other variants. ICSI could provide a promising treatment for acephalic spermatozoa-associated male infertility. Besides the importance of sperm head-tail junction integrity, some other factors, whether within the sperm cell or female factors, may be involved in the ICSI outcome.

Sperm morphology from the actual inseminated sample does not predict clinical pregnancy following intrauterine insemination

Objective

To determine the effect of sperm morphology from the specific sample used for intrauterine insemination (IUI) on clinical pregnancy rates (CPR).

Design

Prospective cohort study.

Setting

Academic fertility clinic.

Patients

Couples undergoing IUI July 2016-January 2017.

Interventions

Morphology slides were prepared from the semen sample produced for IUI.

Main Outcome Measures

CPR was measured by detection of cardiac activity. Multiple logistic regression modeling was performed to determine the association of sperm morphology with CPR, controlling for age, antimüllerian hormone level, and post-wash total motile sperm count.

Results

Semen analyses, including Kruger strict criteria for morphology from the actual sample inseminated, were reviewed for 155 couples, comprising 234 total treatment cycles. The percent normal morphology significantly differed between the preliminary semen analysis and the IUI sample (-2.0% +3.7% (95% CI -2.55, -1.53). Of the total 234 treatment cycles, 8.6% resulted in clinical pregnancy. When categorized by strict morphology >4%, <4%, and <1%, the CPR was 6.6%, 9.8%, and 10.9%, respectively. In couples with otherwise normal semen parameters (isolated teratospermia), CPR by >4%, <4%, and <1% normal forms was 7.2%, 9.8%, and 11.1%, respectively. There was no significant association between the percent normal morphology and CPR in multivariate analysis.

Conclusions

This study evaluating the morphology of the actual inseminated sample did not find differences in CPR following IUI among couples with normal and abnormal sperm morphology, including severe teratospermia. Abnormal sperm morphology should not exclude couples from attempting 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.

Intrauterine insemination cycles: prediction of success and thresholds for poor prognosis and futile care

PURPOSE

We aimed to define intrauterine insemination (IUI) cycle characteristics associated with viable birth, identify thresholds below which IUI treatments are consistent with very poor prognosis and futile care, and develop a nomogram for individualized application.

METHODS

This retrospective cohort study evaluated couples using fresh partner ejaculate for IUI from January 2005 to September 2017. Variables included female age, semen characteristics, and ovarian stimulation type. Using cycle-level data, we evaluated the association of these characteristics with the probability of viable birth by fitting generalized regression models for a binary outcome with a logit link function, using generalized estimating equation methodology to account for the correlation between cycles involving the same patient.

RESULTS

The cohort consisted of 1117 women with 2912 IUI cycles; viable birth was achieved in 275 (9.4%) cycles. Futile care (viable birth rate < 1%) was identified for women age > 43, regardless of stimulation type or inseminate motility (IM). Very poor prognosis (viable birth rate < 5%) was identified for women using oral medications or Clomid plus gonadotropins who were (1) age < 35 with IM < 49%, (2) age 35-37 with IM < 56%, or (3) age ≥ 38, and (4) women age ≥ 38 using gonadotropins only with IM < 60%. A clinical prediction model and nomogram was developed with an optimism-corrected c-statistic of 0.611.

CONCLUSIONS

The present study highlights the impact of multiple clinical factors on IUI success, identifies criteria consistent with very poor prognosis and futile care, and provides a nomogram to individualize counseling regarding the probability of a viable birth.

Potential chances for natural fertility influence results of intrauterine inseminations

Objective

Intra-uterine insemination (IUI) is widely used for different indications. The aim of the present study was to evaluate the efficiency of intra-uterine insemination as a function of indication and origin of the inseminated spermatozoa.

Study design

The retrospective study involved 827 first attempts of IUI in 827 couples between January 2011 and July 2017 in the Toulouse university hospital. Of these, 642 used fresh sperm from the husband, 40 frozen sperm from the husband and 145 frozen sperm from donors. The measured outcome parameter was live birth rate per attempt.

Results

When comparing couples lacking functional gametes (due to male or female causes), to couples who could potentially conceive spontaneously, i.e. subfertile, the latter were found to have a significantly lower live birth rate (18% vs 26%; P < 0.05). Even when adjusted for demographic parameters, which differed significantly between the 2 groups (female age, percentage of women suffering from primary infertility, BMI, number of inseminated motile spermatozoa and stimulation duration), this difference remained statistically significant (OR = 0.639 [0.425-0.961]; P = 0.0316).

Conclusion

When compared to couples lacking functional gametes, subfertile couples have poor IUI outcomes, suggesting a hidden cause of infertility, despite no apparent differences in ovarian reserve, tubal potency, results of ovarian stimulation and normal conventional sperm parameters. Further studies are required to better characterise and identify this subgroup of women with poor IUI outcomes.

Sperm Morphology: History, Challenges, and Impact on Natural and Assisted Fertility

PURPOSE OF REVIEW

The classification of morphologically normal sperm has been progressively redefined. Concurrently, our understanding of the significance of sperm morphology in relation to male factor infertility has evolved. In this review, we will discuss the evolution of sperm morphology assessment and factors that contribute to its measurement variability. We will examine the impact of sperm morphology on natural pregnancy, IUI, IVF, and ICSI outcomes.

RECENT FINDINGS

There is a lack of consensus on sperm morphology classification, technique, and inter-observer grading variability. Current evidence suggests sperm morphology has low predictive value for pregnancy success, for both natural and assisted reproduction. Additionally, the threshold for what is considered an adequate percentage of morphologically normal sperm has changed over time. These variables have called into question the relevance of this variable in predicting fertility outcomes. Our understanding of the impact of sperm morphology on reproductive outcomes continues to evolve and seems to play less of a role than initially thought.

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.

Effect of Gonadotropin Types and Indications on Homologous Intrauterine Insemination Success: A Study from 1251 Cycles and a Review of the Literature

Objective

To evaluate the IUI success factors relative to controlled ovarian stimulation (COS) and infertility type, this retrospective cohort study included 1251 couples undergoing homologous IUI.

Results

We achieved 13% clinical pregnancies and 11% live births. COS and infertility type do not have significant effect on IUI clinical outcomes with unstable intervention of various couples' parameters, including the female age, the IUI attempt rank, and the sperm quality.

Conclusion

Further, the COS used seemed a weak predictor for IUI success; therefore, the indications need more discussion, especially in unexplained infertility cases involving various factors. Indeed, the fourth IUI attempt, the female age over 40 years, and the total motile sperm count <5 × 10⁶ were critical in decreasing the positive clinical outcomes of IUI. Those parameter cut-offs necessitate a larger analysis to give infertile couples more chances through IUI before carrying out other ART techniques.

Effect of Sperm Morphology on Pregnancy Success via Intrauterine Insemination: A Systematic Review and Meta-Analysis

PURPOSE

Men with abnormal sperm morphology are often counseled that natural conception and intrauterine insemination are ineffective, and in vitro fertilization is the only option. Our objective was to determine the effect of sperm morphology on the pregnancy success of intrauterine insemination.

MATERIALS AND METHODS

We systematically searched for studies published prior to January 2017 that 1) reported ultrasound verified clinical pregnancies per intrauterine insemination cycle, 2) assessed sperm morphology using the Kruger strict criteria and 3) described morphology at the greater than 4% and 4% or less and/or the 1% or greater and less than 1% thresholds. In all studies mean female age was between 25 and 40 years and mean total motile sperm count was greater than 10 million. Estimates were pooled using random effects meta-analysis.

RESULTS

Data were extracted from 20 observational studies involving a total of 41,018 cycles. When comparing men at the greater than 4% and 4% or less thresholds, the rate of ultrasound verified pregnancy per intrauterine insemination cycle was not statistically or clinically different (14.2% vs 12.1%, p = 0.06) and the risk difference was 3.0% (95% CI 1.4-4.6), indicating 3.0 additional pregnancies per 100 intrauterine insemination cycles. When comparing men at the 1% or greater and the less than 1% thresholds, there were no statistical or clinical differences in the rate of ultrasound verified pregnancy per cycle of intrauterine insemination (14.0% vs 13.9%, p = 0.97) or in the risk difference (1.6%, 95% CI -4.5-7.6).

CONCLUSIONS

There appears to be no clinical difference in intrauterine insemination pregnancy success among men with normal and abnormal sperm morphology when accounting for total motile sperm count and female age. Abnormal sperm morphology alone should not exclude couples from attempting intrauterine insemination.