UNASSIGNED: Approximately 50% of infertility cases are attributed to male factors. Acupuncture has long been employed as a complementary therapy to enhance male infertility treatment outcomes. This study aimed to assess the impact of electroacupuncture (EA) therapy on sperm motility and TMSC in male infertility patients.
UNASSIGNED: This randomized clinical trial involved 30 male infertility patients divided into 2 groups. Consecutive sampling was utilized among men diagnosed with infertility at the Fertility Clinic Sekar, Dr. Moewardi General Hospital, Surakarta. Both groups underwent assessments of sperm motility and TMSC before and after the intervention. The first group received Coenzyme Q, while the second group received Coenzyme Q + EA.
UNASSIGNED: The Qoenzyme Q + EA group exhibited no significant difference in motility levels before treatment, with an average motility of 41.40% ± 13.33 and a TMSC level of 33.59 × 106 ± 27.91. Post-treatment, motility remarkably increased by 56.40% ± 11.78, and the TMSC level rose by 78.63 × 106 ± 58.38 in the Qoenzyme Q + EA group. Conversely, the Qoenzyme Q pre-treatment group had an average motility of 48.07% ± 15.77 and a TMSC level of 30.20 × 106 ± 34.82. After Coenzyme Q treatment, a significant decrease in motility by 42.80% ± 18.03 and TMSC level by 28.22 × 106 ± 15.16 was observed.
UNASSIGNED: Combining Coenzyme Q + EA had a more significant impact on sperm motility and TMSC levels than Coenzyme Q alone. These findings underscore the differential effects of Coenzyme Q + EA and Coenzyme Q on sperm motility and TMSC levels, suggesting potential therapeutic implications for male reproductive health. Future studies with larger sample sizes are warranted to validate and expand upon these results.

UNASSIGNED: Our goal was to characterize the distribution of follicle stimulating hormone (FSH) in fertile and subfertile nonazoospermic men, and to determine the ability of various FSH thresholds to predict fertility status.
UNASSIGNED: We performed a retrospective cohort study of 1389 nonazoospermic men who presented for fertility evaluation. Men with at least 2 semen analyses and 1 FSH level were included. Men were dichotomized into fertile and subfertile groups based on total motile sperm count. FSH was evaluated within a multivariable model, and positive predictive values (PPVs) for subfertility were used to assess the clinical utility of various FSH thresholds.
UNASSIGNED: One thousand fifteen (80%) men were classified as fertile and 274 (20%) as subfertile. Age, presence of varicocele, and testosterone levels were not statistically different between the groups. Median FSH was 4.0 vs 6.0 (P < .001) among fertile vs subfertile men. Multiple FSH thresholds ranging from 2.9 to 9.3 performed similarly in predicting fertility status (PPV 0.49-0.59). Only FSH thresholds above the 95th percentile (12.1) had PPVs greater than 0.7. The highest PPV (0.84) was seen at an FSH of 20.8 (99th percentile).
UNASSIGNED: While there were significant differences in FSH levels among fertile and subfertile nonazoospermic men, multiple FSH cutoffs between 2.2 and 9.3 performed poorly for prediction of fertility status as determined by total motile sperm count. It was not until the 95th percentile FSH value that a clinically useful level of predictability for subfertility was reached, indicating that FSH should not be used as a standalone test of fertility status. Nonetheless, FSH testing remains clinically useful and may be most informative in the setting of extreme values or discordant FSH and semen analysis results.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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).
UNASSIGNED: 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.

UNASSIGNED: This study evaluated whether microsurgical varico-celectomy performed in infertile men with severe oligozoospermia (SO) resulted in improved semen parameters or increased rates of spontaneous pregnancy (SP) and performed a cost-effectiveness analysis comparing intrauterine insemination (IUI), in vitro fertilization (IVF), and varicocelectomy.
UNASSIGNED: This study included 25 patients with SO who underwent microsurgical varicocelectomy between September 2019 and May 2022, which resulted in post-surgical SP in all cases. Men with azoospermia, abnormal karyotype, or Y-chromosome microdeletion were excluded from the study. Serum luteinizing, follicle-stimulating, and testosterone hormones were measured preoperatively. Semen was analyzed every 3 months postoperation. The incidence of SP was recorded at each visit. Cost-effectiveness for assisted reproductive technologies was calculated based on reported costs. Several parameters were evaluated as potential predictors of the response to microsurgical varicocelectomy using univariate and multivariate analyses.
UNASSIGNED: After a mean postoperative observation period of 7 months, 25 couples with SP after microsurgical varicocelectomy were recruited. The mean sperm concentration increased from 3 million/mL (interquartile range [IQR]: 2-5 million/mL) to 12 million/mL (IQR: 5-17 million/mL; p<0.05), and mean sperm motility improved from 4% (IQR: 3%-6%) to 7.6% (p<0.05). Total motile sperm count (TMSC) increased to 3.08 million (IQR: 1.02-5.83 million) from a preoperative value of 0.34 million (IQR: 0.16-0.83 million). A cost-effectiveness analysis comparing IVF with varicocelectomy indicates that varicocelectomy may represent a better first-line option for infertile men with very low preoperative TMSC. However, further research remains necessary to confirm this result.
UNASSIGNED: Varicocelectomy should be discussed as a treatment option for men with SO and may improve sperm quality and fertility potential, resulting in SP.

Intrauterine insemination (IUI) is a frequently used method to treat couples with infertility. There is evidence of decreased pregnancy rates with a total motile sperm count (TMSC) of less than 10 million, yet there remains to be a consensus on semen parameters for which to recommend IUI in the infertile population. The aim of this study was to determine a minimum threshold of TMSC on semen analysis to offer IUI cycles. This is a retrospective cohort study of all IUI cycles at a private practice infertility centre over four years. Our primary outcome of interest was the presence of clinical pregnancy after each cycle. A total of 999 women underwent 2,169 IUI cycles. The overall clinical pregnancy rate was 19.8% per cycle. During the first IUI each woman underwent, there was an increase in clinical pregnancy with increasing TMSC (OR 0.44) for TMSC ≤1 M to (OR 0.99) for TMSC 6-10 M, compared to TMSC >10 M. Among all IUI with a TMSC between 6 and 10 M, pregnancy outcomes improved with morphology >4% (OR 0.84), compared to morphology <4% (OR 0.25), relative to TMSC >10 M. Using receiver operating characteristic curves, we did not identify a TMSC threshold to offer IUI, although there was a positive correlation between TMSC and IUI success.

OBJECTIVE: The purpose of this study is to clarify which pre-wash total motile count are associated with improved clinical pregnancy rate (CPR) and live birth rate (LBR) based on maternal age, AMH level, stimulation regimen, and infertility diagnosis.
METHODS: This was a retrospective cohort study of first completed IUI cycles at two academic fertility centers from 5/2015 to 9/2019. Cycles were stratified by pre-wash TMC, maternal age, AMH level, stimulation regimen, and infertility diagnosis. The primary outcome was CPR and secondary outcomes were live birth and miscarriage.
RESULTS: One thousand one hundred fifty-four cycles were analyzed. Of the 162 cycles that resulted in a CPR (14.0%), most had an insemination TMC > 20 million. Compared to TMC > 20 million, there was no difference in CPR or LBR for lower TMC categories, excluding the TMC < 2 million group, in which there were no pregnancies. When TMC was stratified by deciles, there was also no difference in CPR and LBR, including within the lowest decile (TMC 0.09-8.6 million). Younger age and higher ovarian reserve parameters were associated with higher pregnancy and LBR when stratified by TMC. There was no difference in pregnancy and LBR when considering different stimulation protocols.
CONCLUSIONS: Our data suggest that pregnancy and LBR are equivalent above a TMC of 2 million. Data stratified by TMC and patient parameters can be used to counsel patients pursuing ART.

OBJECTIVE: The aim of this study was to summarize the evidence of radiofrequency electromagnetic radiation (RF-EMR) exposure from wireless devices on total motile sperm count (TMSC) and identify gaps in the literature that could help clarify this link.
METHODS: A literature search was conducted using PubMed/MEDLINE to find relevant studies examining the effects of EMR on male fertility, with a specific focus on TMSC, published from 2000 to 2019. R was used for data analyses.
RESULTS: Motility was identified as the parameter linked to TMSC that was most negatively impacted by EMR exposure. Many gaps were found including geographic and lack of standardization with EMR factors such as exposure time and operating frequency.
CONCLUSIONS: The EMR emitted by wireless devices may negatively affect TMSC, which is one of the better predictors of achieving pregnancies and impairs male fertility. Our findings highlight the need for clinicians to explore wireless device usage to help guide treatment decisions in men or couples with subfertility concerns.

What thresholds for total sperm count, sperm concentration, progressive motility, and total progressive motile sperm count (TPMC) are associated with earlier time-to-conception in couples undergoing fertility evaluation?
Values well above the World Health Organization (WHO) references for total sperm count, concentration, and progressive motility, and values up to 100 million for TPMC were consistently associated with earlier time-to-conception and higher conception rates.
Although individual semen parameters are generally not able to distinguish between fertile and infertile men, they can provide clinically useful information on time-to-pregnancy for counseling patients seeking fertility treatment. Compared to the conventional semen parameters, TPMC might be a better index for evaluating the severity of male infertility.
We used data from a longitudinal cohort study on subfertile men from 2002 to 2017 and included 6061 men with initial semen analysis (SA) in the study.
Men from subfertile couples who underwent a SA within the study period were included, and 5-year follow-up data were collected to capture conception data. Couples were further categorized into two subgroups: natural conception (n = 5126), after separating those who achieved conception using ART or IUI; natural conception without major female factor (n = 3753), after separating those with severe female factor infertility diagnoses. TPMC was calculated by multiplying the semen volume (ml) by sperm concentration (million/ml) and the percentage of progressively motile sperm (%). Cox proportional hazard models were used to report hazard ratios (HRs) with 95% CIs before and after adjusting for male age, the number of previous children before the first SA, and income. Using the regression tree method, we calculated thresholds for total sperm count, sperm concentration, progressive motility, and TPMC to best differentiate those who were more likely to conceive within 5 years after first SA from those less likely to conceive. We also plotted continuous values of semen parameters in predicting 5-year conception rates and time-to-conception.
Overall, the median time to conception was 22 months (95% CI: 21-23). A total of 3957 (65%) couples were known to have achieved conception within 5 years of the first SA. These patients were younger and had higher values of sperm concentration, progressive motility, and TPMC. In the overall cohort, a TPMC of 50 million best differentiated men who were more likely to father a child within 5 years. Partners of men with TPMC ≥50 million had a 45% greater chance of conception within 5 years in the adjusted model (HR: 1.45; 95% CI: 1.34-1.58) and achieved pregnancy earlier compared to those men with TPMC < 50 million (median 19 months (95% CI: 18-20) versus 36 months (95% CI: 32-41)). Similar results were observed in the natural conception cohort. For the natural conception cohort without major female factor, the TPMC cut-off was 20 million. In the visual assessment of the graphs for the continuous semen parameter values, 5-year conception rates and time-to-conception consistently plateaued at higher values of sperm concentration, total sperm count, progressive motility, and TPMC compared to the WHO reference levels and our calculated thresholds. For TPMC, values up to 100-150 million were still associated with a better conception rate and time-to-conception in the visual assessment of the curves.
There was limited information on female partners and potential for inaccuracies in capturing less severe female infertility diagnoses. Also we lacked details on assisted pregnancies achieved outside of our healthcare network (with possible miscoding as \'natural conception\' in our cohort). We only used the initial SA and sperm morphology, another potentially important parameter, was not included in the analyses. We had no information on continuity of pregnancy attempts/intention, which could affect the time-to-conception data. Finally, most couples had been attempting conception for >12 months prior to initiating fertility treatment, so it is likely that we are underestimating time to conception. Importantly, our data might lack the generalizability to other populations.
Our results suggest that a TPMC threshold of 50 million sperm provided the best predictive power to estimate earlier time-to-conception in couples evaluated for male factor infertility. Higher values of sperm count, concentration and progressive motility beyond the WHO references were still associated with better conception rates and time-to-conception. This provides an opportunity to optimize semen parameters in those with semen values that are low but not abnormal according to the WHO reference values. These data can be used to better inform patients regarding their chances of conception per year when SA results are used for patient counseling.
None.
N/A.

OBJECTIVE: Optimal strategies to treat idiopathic male infertility have remained unclear. The aim of this study was to evaluate the effectiveness of combination antioxidant therapy with several vitamins and supplements on semen parameters.
METHODS: Thirty-one men with oligozoospermia and/or asthenozoospermia evaluated by a Makler counting chamber were randomly assigned to two treatment groups: a combination of antioxidant supplements (L-carnitine, zinc, astaxanthin, coenzyme Q10, vitamin C, vitamin B12, and vitamin E) and a Chinese herbal medicine, hochu-ekki-to (HE). Serum endocrinological profiles and semen parameters, especially total motile sperm count, were compared between before and after 12 weeks of treatment in both groups.
RESULTS: In the supplement group, endocrinological findings were not significantly improved. The semen parameters of semen volume, sperm concentration, and sperm motility were not statistically significantly improved, whereas total motile sperm count was significantly improved. In contrast, none of the endocrinological factors or semen findings were significantly improved by the Chinese herbal medicine although semen concentration, semen motility, and total motile sperm count showed a tendency to increase.
CONCLUSIONS: Because combination antioxidant therapy could improve sperm motility significantly for patients with idiopathic oligoasthenozoospermia, our supplement could be one treatment option for idiopathic male infertility.

It is crucial to identify the subfertile men with varicocele who will benefit the most from varicocelectomy, and the factors which help in predicting the response to varicocelectomy. We aimed to evaluate the impact of varicocelectomy on total motile sperm count (TMSC) and spontaneous pregnancy (SP) rates. A comprehensive literature search was performed using Medline/PubMed and Google Scholar up to December 26, 2018, with no restriction on language and year of publication. Published articles reporting different degrees of TMSC before and after varicocelectomy in infertile men with varicocele (palpable and/or clinical) were extracted. In addition, SP rates as a function of TMSC after varicocelectomy were reviewed. Potential biases were analyzed to rule out skewing factors. Mean TMSC was graded as: <2 million - profound, 2-5 million - severe, 5-10 million - moderate, and >10 million - mild. Data were analyzed using Stata11. Among the total 96 articles identified through electronic and manual searches of references, nine articles fulfilling the inclusion criteria were included. All degrees of TMSC resulted in a significant postoperative improvement, with only small differences, among the profound [10.20 million (95% confidence interval [CI]: 9.11-11.30, p < 0.0001)], severe [15.77 million (95% CI: 10.65-20.89, p < 0.0001)], and moderate groups [19.18 million (95% CI: 10.40-27.96, p < 0.0001)]. However, the mild group demonstrated a highly significant improvement [49.68 million (95% CI: 38.74-60.62, p < 0.0001)]. After varicocelectomy, the SP rate was highest in the TMSC >20 million group (55.4%), followed by TMSC 5-20 million group (45.4%), and TMSC <5 million group (26.3%). In comparison, the TMSC <1.5 million group demonstrated the lowest SP rate (16.0%). Moderate evidence suggests that varicocelectomy results in a significantly improved TMSC. The improvement in TMSC and SP rates is higher in patients who present a mild or moderate decreased TMSC.Abbreviations: TMSC: total motile sperm count; SP: spontaneous pregnancy; ART: assisted reproductive technology; IVF: in-vitro fertilization; IUI: intrauterine insemination; WMD: weighted mean difference; CI: confidence interval.