Evaluation of a cut-off value for sperm motility after different hours of incubation to select the suitable reproductive technology (IVF or ICSI)

Zollner, U.; Märtin, Stefanie; Liebermann, Jürgen; Steck, Theodore L.

doi:10.1080/j.1600-0412.1999.780410.x

Cited by 7 publications

(3 citation statements)

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“…The sperm DFI and conventional semen parameters are relatively independent of each other, as our study and some previous studies [34][35][36] have shown a low correlation coefficient between the two (the correlation coefficients ranged from -0.2 to 0.4). Standard semen parameters could also roughly predict the fertility potential of male factors and their impact on the outcomes of conventional IVF [6][7][8][9]. We evaluated the association of semen parameters with IVF outcomes in this study and found that participants with high sperm concentrations and rapidly progressive motility levels and in higher categories (e.g., rapidly progressive motility > 40% or in the third quartile) had higher odds of having good IVF outcomes, as we expected.…”

Section: Discussionmentioning

confidence: 61%

“…However, nearly 15% of infertile men have normal semen parameters [5]. Sperm concentration and motility have limited predictive value for conventional IVF outcomes [6][7][8][9]. This implies that subcellular or nuclear factors ignored by routine semen analysis may contribute to male factor infertility and affect the outcomes of IVF.…”

Section: Introductionmentioning

confidence: 99%

“…Others have not identified a connection between sperm DNA integrity and IVF outcomes [20][21][22]. One potential reason is that the effect on certain semen parameters (e.g., sperm concentration and motility) [6][7][8][9] or sperm DNA integrity alone is frequently studied, but few studies have focused on the combined effect of sperm DNA integrity and semen parameters on IVF outcomes. Other factors, such as not excluding interference from multiple cycles and cycle types [23], varying patient selection criteria [24][25][26], not controlling for potential confounders, the lack of standardized methods to detect sperm DNA integrity, and limited study sample sizes, could account for the inconsistency among study results.…”

Section: Introductionmentioning

confidence: 99%

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Machine learning-based clustering to identify the combined effect of the DNA fragmentation index and conventional semen parameters on in vitro fertilization outcomes

Peng

Liao

et al. 2023

Reprod Biol Endocrinol

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Background Previous studies have demonstrated an association between male sperm quality and assisted reproduction outcomes, focusing on the effects of individual parameters and reaching controversial conclusions. The WHO 6th edition manual highlights a new semen assay, the sperm DNA fragmentation index, for use after routine semen examination. However, the combined effect of the sperm DNA fragmentation index (DFI) and routine semen parameters remains largely unknown. Methods We assessed the combined effect of the sperm DFI and conventional semen parameters on single fresh conventional IVF outcomes for infertile couples from January 1, 2017, to December 31, 2020. IVF outcomes were obtained from the cohort database follow-up records of the Clinical Reproductive Medicine Management System of the Third Affiliated Hospital of Guangzhou Medical University. An unsupervised K-means clustering method was applied to classify participants into several coexposure pattern groups. A multivariate logistic regression model was used for statistical analysis. Results A total of 549 live births among 1258 couples occurred during the follow-up period. A linear exposure–response relationship was observed among the sperm DFI, sperm motility, and IVF outcomes. In multivariable adjustment, increased sperm DFI values and decreased sperm motility and semen concentration levels were associated with reduced odds of favourable IVF outcomes. Four coexposure patterns were generated based on the sperm DFI and the studied semen parameters, as follows: Cluster 1 (low sperm DFI values and high sperm motility and semen concentration levels), Cluster 2 (low sperm DFI values and moderate sperm motility and semen concentration levels), Cluster 3 (low sperm DFI values and low sperm motility and semen concentration levels) and Cluster 4 (high sperm DFI values and low sperm motility and semen concentration levels). Compared with those in Cluster 1, participants in Cluster 3 and Cluster 4 had lower odds of a live birth outcome, with odds ratios (95% confidence intervals [CIs]) of 0.733 (0.537, 0.998) and 0.620 (0.394, 0.967), respectively. Conclusions When combined with low sperm DFI values, there was no significant difference between high or moderate sperm concentration and motility levels, and both were associated with favourable IVF outcomes. Low sperm parameter levels, even when DFI values remain low, may still lead to poor IVF outcomes. Participants with high sperm DFI values and low sperm motility and semen concentration levels had the worst outcomes. Our findings offer a novel perspective for exploring the joint effects of sperm DFI and routine semen parameter values.

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Section: Discussionmentioning

confidence: 61%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine learning-based clustering to identify the combined effect of the DNA fragmentation index and conventional semen parameters on in vitro fertilization outcomes

Peng

Liao

et al. 2023

Reprod Biol Endocrinol

View full text Add to dashboard Cite

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Optimizing incubation conditions for the preservation of sperm motility in processed semen samples

Petrella

Hsieh

Thrift

et al. 2005

Fertility and Sterility

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Ideal Culture Time for Improvement in Sperm Motility From Testicular Sperm Aspirates of Men With Azoospermia

et al. 2007

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Incubation in processing media or Ham's F10 + albumin media improves sperm motility with significant improvement noted between 24 and 48 hours for obstructive azoospermia cases. Ham's F10 + albumin media may provide extra benefit for cases of nonobstructive azoospermia or nerve injury. These results suggest the ideal timing of oocyte retrieval for intracytoplasmic sperm injection correlates with 48-hour sperm incubation for obstructive azoospermia cases, and 24 hours for nonobstructive azoospermia and nerve injury cases.

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Evaluation of a cut-off value for sperm motility after different hours of incubation to select the suitable reproductive technology (IVF or ICSI)

Abstract: The predictive power of sperm motility after 48 h for fertilization outcome provides support in the decision-making process within the assisted reproduction setting. If less than 20% of sperm are motile after 48 h micromanipulatory techniques should be considered.

Cited by 7 publications

References 0 publications

Machine learning-based clustering to identify the combined effect of the DNA fragmentation index and conventional semen parameters on in vitro fertilization outcomes

Machine learning-based clustering to identify the combined effect of the DNA fragmentation index and conventional semen parameters on in vitro fertilization outcomes

Optimizing incubation conditions for the preservation of sperm motility in processed semen samples

Ideal Culture Time for Improvement in Sperm Motility From Testicular Sperm Aspirates of Men With Azoospermia

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