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Mol Reprod Dev. 2018 Aug;85(8-9):654-664. doi: 10.1002/mrd.23057. Epub 2018 Sep 25.

Cap-Score™ prospectively predicts probability of pregnancy.

Author information

1
Abington Reproductive Medicine, Abington, Pennsylvania.
2
Virginia Center for Reproductive Medicine, Reston, Virginia.
3
IVF1, Naperville, Illinois.
4
The Ronald O. Perelman & Claudia Cohen Center for Reproductive Medicine & Infertility, Weill Cornell Medical College, New York.
5
New Jersey Urology, Millburn, New Jersey.
6
Urology Health Specialists, Abington, Pennsylvania.
7
Singular Value Consulting, Houston, Texas.
8
Androvia LifeSciences, Mountainside, New Jersey.
9
Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York.

Abstract

Semen analysis (SA) poorly predicts male fertility, because it does not assess sperm fertilizing ability. The percentage of capacitated sperm determined by GM1 localization ("Cap-Score™"), differs between cohorts of fertile and potentially infertile men, and retrospectively, between men conceiving or failing to conceive by intrauterine insemination (IUI). Here, we prospectively tested whether Cap-Score can predict male fertility with the outcome being clinical pregnancy within ≤3 IUI cycles. Cap-Score and SA were performed (n = 208) with outcomes initially available for 91 men. Men were predicted to have either low (n = 47) or high (n = 44) chance of generating pregnancy using previously-defined Cap-Score reference ranges. Absolute and cumulative pregnancy rates were reduced in men predicted to have low pregnancy rates versus high ([absolute: 10.6% vs. 29.5%; p = 0.04]; [cumulative: 4.3% vs. 18.2%, 9.9% vs. 29.1%, and 14.0% vs. 32.8% for cycles 1-3; n = 91, 64, and 41; p = 0.02]). Only Cap-Score, not male/female age or SA results, differed significantly between outcome groups. Logistic regression evaluated Cap-Score and SA results relative to the probability of generating pregnancy (PGP) for men who were successful in, or completed, three IUI cycles (n = 57). Cap-Score was significantly related to PGP (p = 0.01). The model fit was then tested with 67 additional patients (n = 124; five clinics); the equation changed minimally, but fit improved (p < 0.001; margin of error: 4%). The Akaike Information Criterion found the best model used Cap-Score as the only predictor. These data show that Cap-Score provides a practical, predictive assessment of male fertility, with applications in assisted reproduction and treatment of male infertility.

KEYWORDS:

capacitation; human; infertility; male fertility; semen analysis (SA); sperm

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