Sperm Morphology: History, Challenges, and Impact on Natural and Assisted Fertility

Danis, Rachel Blair; Samplaski, Mary K.

doi:10.1007/s11934-019-0911-7

Cited by 50 publications

(42 citation statements)

References 58 publications

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“…Sperm morphology is more difficult to evaluate than sperm concentration or progressive motility, and there have been inconsistencies between different laboratories due to the subjective nature of the sperm morphological assessment (Gatimel, Mansoux, Moreau, Parinaud, & Léandri, 2017; Punjabi et al, 2016; Wang et al, 2014). With the progressive description of normal sperm and sperm abnormalities (Danis & Samplaski, 2019), the thresholds for the normal sperm morphology rate (NSMR) in different editions of the World Health Organization (WHO) laboratory manual for the examination of human semen have been revised over time; the NSMRs in the 3rd, 4th and 5th editions are ≥30% (World Health Organization 1992), >14% (World Health Organization 1999) and ≥4% (World Health Organization 2010) respectively.…”

Section: Introductionmentioning

confidence: 99%

Effects of the normal sperm morphology rate on the clinical and neonatal outcomes of conventional IVF cycles

Chen

Liu

et al. 2020

Andrologia

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The present study assessed the influences of the normal sperm morphology rate on the clinical and neonatal outcomes of conventional in vitro fertilisation cycles. This retrospective study analysed 427 and 2,728 cycles from the normal sperm morphology rate <4% and ≥4% group respectively. The clinical (total fertilisation failure, clinical pregnancy, implantation and abortion) and neonatal (sex, gestational age, preterm birth, birthweight, low birth weight, live births and birth defects of newborns) outcomes were compared. The rate of total fertilisation failure in the normal sperm morphology rate <4% group was significantly higher compared with that in the normal sperm morphology rate ≥4% group (2.8% versus 1.2%, p = .012). Total fertilisation failure was completely resolved by early rescue intracytoplasmic sperm injection. The clinical pregnancy, implantation and abortion rates were not significantly different between the two groups. Additionally, the sex, preterm birth, low birth weight, live births and birth defect rates, gestational age and birthweight of newborns were not significantly different between the two groups. Thus, normal sperm morphology rate <4% significantly increased the total fertilisation failure rate but did not affect the clinical or neonatal outcomes.

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Section: Introductionmentioning

confidence: 99%

Effects of the normal sperm morphology rate on the clinical and neonatal outcomes of conventional IVF cycles

Chen

Liu

et al. 2020

Andrologia

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“…The first is the retrospective design of the study. The second is we did not evaluate the correlation between sperm morphology and sORP due to high interobserver variability in the assessment of morphology and low predictive value of morphology for pregnancy success (24). Importantly, several reports found a negative correlation between oxidative stress and sperm morphology (13,25,26).…”

Section: Discussionmentioning

confidence: 98%

The association of seminal oxidation reduction potential with sperm parameters in patients with unexplained and male factor ınfertility

et al. 2021

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Purpose: Understanding the effects of high oxidation reduction potential (ORP) levels on sperm parameters will help to identify patients with unexplained and male factor infertility who may have seminal oxidative stress and determine if ORP testing is needed. This study aimed to evaluate the association between seminal ORP and conventional sperm parameters. Materials and Methods: A total of 58 patients who provided a semen sample for simultaneous evaluation of sperm parameters and ORP between January and September 2019 were enrolled in this retrospective study. To identify normal and high ORP levels, a static ORP (sORP) cutoff value of 1.36mV/10 6 sperm/mL was used. Sperm parameters were compared between infertile men with normal sORP (control group, n=23) and high sORP values (study group, n=35). Results: Men with sORP values >1.36mV/10 6 sperm/mL had signifi cantly lower total sperm count (TSC) (p <0.001), sperm concentration (p <0.001) and total motile sperm count (TMSC) (p <0.001). In addition, progressive motility (p=0.04) and fast forward progressive motility (p <0.001) were signifi cantly lower in the study group. A negative correlation was found between sORP and TSC (r=-0.820, p <0.001), sperm concentration (r=-0.822, p <0.001), TMSC (r=-0.808, p <0.001) and progressive motility (r=-0.378, p=0.004). Non-progressive motility positively correlated with sORP (r=0.344, p=0.010). Conclusions: This study has shown that TSC, sperm concentration, progressive motility and TMSC are associated with seminal oxidative stress, indicated by a sORP cutoff of 1.36mV/10 6 sperm/mL. Presence of oligozoospermia, reduced progressive motilty or low TMSC in sperm analysis should raise the suspicion of oxidative stress and warrants seminal ROS testing.

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“…It is worth noting that some studies advise couples with ≤4% normal sperm morphology to go for IVF or ICSI instead of IUI (12,30). On the contrary, there are other studies showing that sperm morphology has either no or low predictive value for pregnancy outcomes following IUI (14,15,31). Erdem et al pointed out that the predictive value of morphological assessment in unexplained infertility is not reliable, but in male subfertility, the percentage of normal sperm morphology after washing is higher than 4.5%, which increases the live birth rate (32).…”

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)(12)(13); meanwhile, the other studies showed no significant prognostic value of these factors (14)(15)(16). In addition, some studies found that the combination of several influencing factors had the appreciable ability of prognostic classification (17).…”

Section: Introductionmentioning

confidence: 98%

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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Sperm Morphology: History, Challenges, and Impact on Natural and Assisted Fertility

Cited by 50 publications

References 58 publications

Effects of the normal sperm morphology rate on the clinical and neonatal outcomes of conventional IVF cycles

Effects of the normal sperm morphology rate on the clinical and neonatal outcomes of conventional IVF cycles

The association of seminal oxidation reduction potential with sperm parameters in patients with unexplained and male factor ınfertility

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

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