The relationship between semen parameters in processed and unprocessed semen with intrauterine insemination success rates

Mollaahmadi, Leila; Keramat, Afsaneh; Ghiasi, Ashraf; Hashemzadeh, Mozhgan

doi:10.4274/jtgga.galenos.2018.2018.0089

Cited by 8 publications

(10 citation statements)

References 31 publications

(58 reference statements)

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“…This observation is similar to previously published results, in which semen collection at home did not have a negative impact on IUI when restricting the analysis to patients with low motility 4 . Overall, though, increased motility was associated with better pregnancy and clinical pregnancy rates in our cohort, especially at the clinic collection group, in accordance with previously published literature 16,17 . On the other hand, many reports have showed no relationship between motility or other semen parameters with IUI outcomes 18–20 .…”

Section: Discussionsupporting

confidence: 92%

“…4 Overall, though, increased motility was associated with better pregnancy and clinical pregnancy rates in our cohort, especially at the clinic collection group, in accordance with previously published literature. 16,17 On the other hand, many reports have showed no relationship between motility or other semen parameters with IUI outcomes. [18][19][20] Similar to those reports, we found no existing relationships between other semen analysis parameters and IUI pregnancy outcomes.…”

Section: Discussionmentioning

confidence: 99%

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The effect of semen collection at home on intrauterine insemination outcomes

et al. 2022

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Background:The WHO 2010 guidelines recognize at-home semen collection as an acceptable alternative to standard collection at the clinic in "exceptional circumstances." There is lack of sufficient data to determine the need for revisiting these recommendations for treatment purposes. Objectives:To determine whether at-home semen collection has any effect on intrauterine insemination (IUI) cycle outcomes. Materials and methods: This is a retrospective cohort study of 729 IUI treatment cycles (382 patients) performed at an academic fertility center from September 19, 2019 to December 31, 2020. Semen collected at the "clinic" was used for 343 cycles before the Coronavirus Disease 2019 (COVID-19) pandemic (September 19, 2019 to March 21, 2020), and "at-home" collected specimens were used for 386 cycles following revised protocols with COVID-19-driven changes (May 30, 2020 to December 31, 2020). Logistic regression models were performed to evaluate the effect of "at-home" semen collection on achieving a positive pregnancy test (PPT) and a clinical pregnancy (CP).Results: Male and female partners' age, ovarian reserve biomarkers, and stimulation regimens used were similar in the "clinic" and "at-home" groups. In unadjusted models, "at-home" collection had no significant effect on the odds for a PPT [OR (95%CI): 0.733

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

The effect of semen collection at home on intrauterine insemination outcomes

et al. 2022

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“…Omelet et al pointed out that the sperm parameters most frequently examined concerning pregnancy rates included: (i) number of motile spermatozoa inseminated; (ii) sperm morphology using strict criteria; (iii) total motile sperm count in the native sperm sample; and (iv) total motility in the native sperm sample (27). Regarding sperm motility parameters, in earlier studies, it was found that VSL, VCL, ALH, and LIN are all related to fertility (16,28,29). Meanwhile, Youn et al found no significant differences in these parameters between the pregnant and non-pregnant groups (17).…”

Section: Discussionmentioning

confidence: 99%

“…On the contrary, some other studies argued that the single/double IUI and cycle treatment options did not influence it significantly ( 1 , 10 ). On the other hand, abundant studies indicated that some semen parameters, such as semen volume, sperm motility, and morphology, could predict the pregnancy outcomes following IUI ( 8 , 11 – 13 ); meanwhile, the other studies showed no significant prognostic value of these factors ( 14 – 16 ). In addition, some studies found that the combination of several influencing factors had the appreciable ability of prognostic classification ( 17 ).…”

Section: Introductionmentioning

confidence: 99%

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

Luo

Yuan

et al. 2021

Front. Med.

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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.

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“…It is expected that DGC processing leads to significant improvements in most sperm parameters [ 3 , 4 ]. A number of previous studies indicated that some semen parameters, including semen volume, sperm motility and sperm morphology, could predict the outcomes of IUI [ 5 – 7 ].…”

Section: Introductionmentioning

confidence: 99%

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

Luo

Liu

et al. 2022

BMC Pregnancy Childbirth

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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.

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The relationship between semen parameters in processed and unprocessed semen with intrauterine insemination success rates

Cited by 8 publications

References 31 publications

The effect of semen collection at home on intrauterine insemination outcomes

The effect of semen collection at home on intrauterine insemination outcomes

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

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

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