A low total motile sperm count in donor sperm obtained from commercial banks does not affect pregnancy rates from intrauterine insemination
Bibliographic record
Abstract
Objective: Women are often concerned about the absolute quantity and quality of sperm in a thawed donor sample at the time of intrauterine insemination (IUI). The aim of this study was to determine how the total motile sperm count (TMSC) of donor sperm obtained from commercial sperm banks affects the pregnancy rate after IUI. Study design: We performed a retrospective cohort study including single women and women in same-sex relationships undergoing IUI at a single academic fertility center between January 2011 and March 2018. Our primary outcome was pregnancy rates per IUI cycle, stratified by post-washed TMSC. The data was analyzed according to TMSC and included three different groups: samples with a TMSC less than 5 million; TMSC of 5-10 million; and a TMSC greater than 10 million. Pregnancies were defined by a serum Beta-human chorionic gonadotropin (Beta-HCG) of greater than 5 mIU/mL. Chi-squared analyses and correlation coefficients were performed. Results: Overall, 9341 IUIs were conducted during the study period. Of these, 1080 (11.56%) were performed for single women and women in a same-sex relationship using commercially available donor sperm. We found that there were no differences in the pregnancy rates per insemination based on TMSC. The pregnancy rates per cycle were 15/114 (13.3%) for the group with a TMSC of less than 5 million; 34/351(9.5%) with a TMSC of 5-10 million; and 61/609 (10.0%) for samples with a TMSC greater than 10 million (p = 0.52). We found an insignificant correlation (r = -0.072) between donor sperm TMSC and pregnancy after IUI (p = 0.46). Furthermore, a reassuring beta-HCG level (>100IU/L) drawn 16 days after IUI was unrelated to TMSC (r = 0.0071, p = 0.94). Conclusion: The pregnancy rate following IUI is unaffected by the TMSC of commercially available donor sperm. This result is useful in reassuring patients when freshly thawed donor sperm is found to have a lower TMSC. Frozen sperm samples from commercial banks typically represent just a portion of an ejaculate produced by a donor who meets the banks' standards for age, health and sperm quality. As such, exaggerated sperm death caused by freezing does not result in worse outcomes with donor sperm.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".