Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Male Age and Progressive Sperm Motility Are Critical Factors Affecting Embryological and Clinical Outcomes in Oocyte Donor ICSI Cycles

Reproductive Sciences, Volume 29, No. 3, Year 2022

This retrospective cohort study aimed to explore whether paternal age and semen quality parameters affect the embryological and clinical outcomes of ICSI with oocyte donation. A total of 339 oocyte donation (OD)-ICSI cycles were categorized into four groups according to the semen parameter profiles of the male counterparts: normozoospermia (NS, n = 184), oligozoospermia (OS, n = 41), asthenozoospermia (AS, n = 50), and oligoasthenozoospermia (OAS, n = 64). The effect of age, total sperm count, and progressive motility was separately analyzed for reproductive outcomes and compared between the study groups: fertilization, blastulation, and top-quality embryo rate, biochemical and clinical pregnancy, live birth, and miscarriage. A negative correlation between male age and fertilization rate was observed (rs = − 0.23, p < 0.0001), while male age was a significant factor for biochemical pregnancy (p = 0.0002), clinical pregnancy (p = 0.0017), and live birth (p = 0.0038). Reduced total sperm count and lowered progressive motility led to poorer fertilization rates (rs = 0.19 and 0.35, respectively, p < 0.0001) and affected embryo quality (rs = 0.13, p = 0.02, and rs = 0.22, p < 0.0001, respectively). OD-ICSI cycles with asthenozoospermia had significantly lowered success rates in biochemical pregnancy, clinical pregnancy, and live birth (p < 0.05). Our study demonstrated that both advanced male age and reduced progressive motility of spermatozoa exert a significant negative influence on the outcome of assisted reproduction, even in controlled procedures with gamete selection and optimization such as in OD-ICSI. Improvement in treatment strategies and male fertility evaluation requires incorporation of such evidence to obtain better prognosis towards personalized management.
Statistics
Citations: 13
Authors: 10
Affiliations: 7
Identifiers
Research Areas
Maternal And Child Health
Sexual And Reproductive Health
Study Design
Cohort Study
Study Approach
Quantitative
Participants Gender
Male