The effects of chromosome polymorphism on the clinical outcomes of in vitro fertilization/embryo transfer-assisted reproduction

Abstract

Objective To investigate the effects of chromosome polymorphism on the clinical outcomes of in vitro fertilization/embryo transfer (IVF/ET)-assisted reproductive technology. Methods The case data of 2740 patients treated between January 2018 and January 2019 were retrospectively analyzed. The patients were organized into two groups: a case group and a control group. In the case group (n = 81), one or both parents were characterized by chromosomal polymorphism; in the control group (n = 2659), both parents had normal chromosome karyotyping. The primary outcomes included clinical pregnancy rate (clinical pregnancy rate of fresh transfer cycles = number of clinical pregnancy cycles/number of fresh embryo transfer cycles × 100%) and live birth rate (live birth rate per fresh transfer cycles = number of live births/numbers of fresh embryo transfer cycles × 100%). The propensity score matching (PSM) method was used for statistical analysis. Results After PSM 1:2 matching for the patients in the two groups, 72 patients were successfully matched. The clinical pregnancy rate and live birth rate in the case group were lower than in the control group before PSM (clinical pregnancy rate: 33.30% case group vs. 46.60% control group, p = .020; live birth rate: 30.90% case group vs. 47.90% control group, p = .03). The differences were statistically significant (p < .05). The live birth rate in the case group was also significantly lower than in the control group after PSM (34.98% case group vs. 74.52% control group; p = .028). The correlation coefficient between clinical pregnancy and grouping (i.e. if there was a characteristic chromosome polymorphism) was −.045 (p = .02), while the correlation coefficient between live birth and grouping was −.046. Conclusion Chromosome polymorphism is weakly negatively correlated with live birth in IVF/ET-assisted reproduction and can significantly reduce the live birth rate of patients.