Projects per year
Abstract
STUDY QUESTION: Among couples with infertility and normal total sperm count and motility, can sperm morphology be used as a biomarker to identify couples who benefit more from ICSI over conventional IVF (c-IVF) on fertility outcomes? SUMMARY ANSWER: Based on this secondary analysis of a large randomized clinical trial (RCT), sperm morphology has limited value as a biomarker to identify couples who benefit more from ICSI over c-IVF on live birth, ongoing pregnancy, clinical pregnancy or total fertilization failure. WHAT IS KNOWN ALREADY: Our recent RCT showed that ICSI did not result in higher live birth rates in couples with normal total sperm count and motility. It is unclear whether sperm morphology can be used as a biomarker to identify couples who benefit more from ICSI over c-IVF in this population. STUDY DESIGN, SIZE, DURATION: This was a secondary analysis of an open-label, multi-centre, RCT comparing ICSI versus c-IVF in 1064 couples with infertility and normal total sperm count and motility. In this secondary study, we evaluated the effectiveness of ICSI over c-IVF in relation to sperm morphology. PARTICIPANTS/MATERIALS, SETTING, METHODS: Couples were eligible if they had ≤2 previous IVF/ICSI attempts, and the male partner had normal total sperm count and motility according to the fifth edition of the WHO laboratory manual for the examination and processing of human semen. Sperm morphology was measured from samples obtained during the first consultation and data for sperm morphology were available in partners of all participants in this trial. The outcomes of interest were live birth, ongoing pregnancy, clinical pregnancy, and total fertilization failure. We first conducted a logistic regression analysis with an interaction term (sperm morphology as a continuous variable by treatment (ICSI versus c-IVF)) on the four outcomes. We also used restricted cubic spline analysis to evaluate non-linear interaction and plotted the treatment effects of ICSI over c-IVF at different sperm morphology levels and the predicted probability of these outcomes in both ICSI and c-IVF groups. MAIN RESULTS AND THE ROLE OF CHANCE: The median proportion of sperm with normal morphology in both groups was 3% (Interquartile range 1-6%). Live birth rates were (184/532) 34.6% for ICSI versus (166/532) 31.2% for c-IVF. No significant interaction was found between sperm morphology and treatment effect of ICSI versus c-IVF on the rates of live birth, ongoing pregnancy, clinical pregnancy, and total fertilization failure (P = 0.181, 0.153, 0.168, and 0.788 respectively). In the analyses using restricted cubic splines, no evidence of interaction between sperm morphology and the treatment effect was found. Interaction figures showed that the treatment effect of ICSI over c-IVF at different sperm morphology levels was fluctuating around no effect line, and the predicted outcomes for the two groups were mostly overlapping at different sperm morphology levels. LIMITATIONS AND REASONS FOR CAUTION: This secondary analysis may be underpowered to detect a difference in treatment effects at different sperm morphology levels due to relatively small number of events at some sperm morphology levels. Moreover, sperm morphology assessment was performed during the first consultation, rather than on the day of randomization. WIDER IMPLICATIONS OF THE FINDINGS: In couples with infertility and normal total sperm count and motility, sperm morphology has a limited role as a biomarker to identify couples who benefit more from ICSI over c-IVF on fertility outcomes.
| Original language | English |
|---|---|
| Pages (from-to) | 23-29 |
| Number of pages | 7 |
| Journal | Human Reproduction |
| Volume | 40 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |
Keywords
- conventional in vitro fertilization
- intracytoplasmic sperm injection
- live birth
- sperm morphology
- total fertilization failure
Projects
- 1 Curtailed
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Improving assisted reproductive technology outcomes - a personalised approach
Wang, R. (Primary Chief Investigator (PCI))
1/01/22 → 18/08/24
Project: Research
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