Infertility Diagnosis, Treatment, and Fertility Preservation
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state some participating physicians reported modifying their clinical practices when receiving the result of a low Cap-score
that could have led to bias. The authors caution of interpretation of outcomes data stratified by maternal age and note that
no data regarding comorbidities were included in the MQF group.
Schinfeld et al. (2018) conducted a prospective, observational study to determine whether Cap-Score can predict male
fertility with the outcome being clinical pregnancy within ≤ 3 IUI cycles. Initial exclusion criteria for men were having fewer
than 10 ×10
6
motile sperm on initial count. The fertility of female partners was examined, but findings of female factor that
did not preclude attempts at IUI were not considered grounds for exclusion. Only couples that pursued IUI were included
in the study. A Cap-Score and semen analysis were performed on 208 men, with outcomes available for 91 men. The
chance of generating pregnancy was predicted for the men using previously defined Cap-score ranges, low (n = 47) or
high (n = 44). 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]). The Cap-Score differed significantly between outcome groups. Logistic
regression evaluated Cap-Score and semen analysis 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 authors concluded that the Akaike Information Criterion found the best
model used the Cap-Score as the only predictor and that Cap-Score provided a predictive assessment of male fertility.
The authors note that further investigation is required to assess the decline in success in the third IUI cycle of men with
normal-range Cap-Scores. Limitations include potential variation in IUI techniques and patient characteristics from
multiple sites, and minimal tests for female factor infertility were defined.
Cardona et al. (2017) assessed whether G
M1
localization patterns (Cap-Score
™
) previously studied in animal models
would correspond with male fertility in humans-in two different settings. One study (#1) was a post-hoc association
between capacitation and involved couples pursuing assisted reproduction in a tertiary care fertility clinic. The second
study (#2) involved fertile men versus those questioning their fertility at a local urology center. In Study 1, various
thresholds were examined versus clinical history for 42 patients; 13 had Cap-Scores ≥ 39.5%, with 12 of these (92.3%)
achieving clinical pregnancy by natural conception or ≤ 3 intrauterine insemination cycles. In Study 2, Cap-Scores of 76
men with known recent fertility were obtained (Cohort 1, pregnant partner or recent father) and compared to 122 men
seeking fertility assessment (Cohort 2). Cap-Score values were normally distributed in Cohort 1, with 13.2% having Cap-
Scores more than one standard deviation below the mean (35.3 ±7.7%). More men in Cohort 2 had Cap-Scores greater
than one standard deviation below the normal mean (33.6%; p = 0.001). Minimal or no relationship was found between
Cap-Score and standard semen analysis parameters. The authors concluded the data provided reference ranges for
fertile men that could be used to guide couples toward the most appropriate fertility treatment and Cap-Score testing could
be used as a complement to standard semen analysis parameters. Study limitations include small sample sizes.
Sperm DNA Integrity/Fragmentation Tests
There is insufficient evidence supporting the predictive value or clinical utility of this test. Prospective studies directly
evaluating the impact of DNA fragmentation testing on the management of infertility are needed.
Lourenco et al. (2023) conducted a systematic review and sought the impact sperm DNA fragmentation (SDF) has on
embryos from assisted reproduction techniques (ARTs). The study included 20 articles that met inclusion criteria which
were cohort and case-control articles. The SDF increase proved to be a limiting potential for ARTs. In IVF, clinical
outcomes such as reduced fertilization rate, blastocyst rate, embryo quality, reduced implantation rate, and increased
abortion rates were observed. In intracytoplasmic sperm injection (ICSI), outcomes such as reduced blastocyst production
rate, embryo quality, implantation, and live birth rate were verified. Furthermore, in intrauterine insemination (IUI), results
of reduced pregnancy rates were observed. However, the mechanisms that lead to these deleterious effects on ARTs still
unclear, so more studies are needed to identify the effects of SDF on ARTs. Limitations in the study include the absence
of patients as healthy controls and the five-year period limited the number of articles obtained. The authors concluded
sperm DNA fragmentation was a potential limiting factor for assisted reproduction techniques.
In a 2022 meta-analysis, Chen et al. sought to analyze the effect of sperm DNA fragmentation index (DFI) on the
outcomes of IVF and ICSI. A total of 12 cohort studies (4 retrospective, 5 prospective, and 3 bidirectional cohort studies)
between 2005 and 2020 were included and analyzed using the random effects model. The results indicated the high DFI
group were statistically inconsequential in comparison to the low FI group with the IVF fertilization rate (RR = 0:94, 95%
CI: 0.77-1.14, p = 0:61), pregnancy rate (RR = 0:83, 95% CI: 0.57-1.21, p = 0:32), and live birth rate (RR = 0:53, 95% CI:
0.16-1.80, p = 0:31). The association between DFI and ICSI with the fertilization rate (RR = 0:79, 95% CI: 0.52-1.18, p =
0:25), pregnancy rate (RR = 0:89, 95% CI: 0.74-1.06, p = 0:18), and live birth rate (RR = 0:89, 95% CI: 0.70-1.14, p =
0:36) were also not statistically significant. The authors concluded the study has no significant interrelationship between
sperm DFI and assisted reproductive outcomes. Therefore, further studies of multicenter large-sample clinical trials should