Multivariate analysis and prediction model establishment of intrauterine insemination pregnancy outcomes
10.3760/cma.j.cn101441-20220601-00243
- VernacularTitle:影响宫腔内夫精人工授精妊娠结局的多因素分析及预测模型建立
- Author:
Jiaxuan GENG
1
;
Jianing XU
1
;
Lan YU
1
;
Cuilian ZHANG
1
;
Shaodi ZHANG
1
Author Information
1. 河南省人民医院 郑州大学人民医院生殖中心，郑州 450003
- Publication Type:Journal Article
- Keywords:
Insemination, artificial;
Clinical pregnancy rate;
Age;
Infertility duration
- From:
Chinese Journal of Reproduction and Contraception
2023;43(8):792-798
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the related factors affecting the pregnancy outcomes of intrauterine insemination and to establish a predictive model.Methods:The clinical data of 2 035 cycles of artificial insemination by husband sperm in Reproductive Center of Henan Provincial People's Hospital from January 2017 to December 2020 were retrospectively analyzed. According to the treatment time, they were divided into training sets (75%, n=1 526) and validation sets (25%, n=509). Univariate analysis and multivariate logistic regression were used to analyze the related factors affecting the clinical pregnancy rate, and a predictive model of clinical pregnancy rate was established according to the results of multivariate logistic regression analysis. Results:Univariate and multivariate logistic regression analysis showed that pregnancy rate of women aged ≥37 years decreased ( OR=0.48, 95% CI: 0.22-1.06, P=0.071), the pregnancy rate decreased with the decrease of anti-Müllreian hormone (AMH, OR=1.05, 95% CI: 1.01-1.09, P=0.028), the clinical pregnancy rate of infertility duration ≥5 years decreased ( OR=0.61, 95% CI: 0.38-0.97, P=0.037), the clinical pregnancy rate was high in the stimulation cycle ( OR=1.64, 95% CI: 1.18-2.27, P=0.003). Based on the above four influencing factors, the nomogram prediction model was established, and an area under the curve (AUC) was 0.62, and the model prediction ability was moderate. Conclusion:The clinical pregnancy rate was higher in women with maternal age <37 years, high level of AMH, infertility duration <5 years and ovulation induction. The established prediction model can predict the clinical pregnancy probability of patients and can be used as a reference for clinicians.
