Prediction of Fertilization Disorders in the In Vitro Fertilization/Intracytoplasmic Sperm Injection: A Retrospective Study of 106,728 Treatment Cycles

被引:8
|
作者
Tian, Tian
Chen, Lixue
Yang, Rui
Long, Xiaoyu
Li, Qin
Hao, Yongxiu
Kong, Fei
Li, Rong
Wang, Yuanyuan
Qiao, Jie
机构
[1] Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing
[2] National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Beijing
[3] Key Laboratory of Assisted Reproduction, Peking University, Ministry of Education, Beijing
[4] Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Peking University Third Hospital, Beijing
来源
关键词
in vitro fertilization; low fertilization; failed fertilization; prediction model; anti-Mullerian hormone (AMH); ANTI-MULLERIAN HORMONE; MALE-FACTOR INFERTILITY; OVARIAN RESPONSE; MALE AGE; IVF; FAILURE; COUPLES; IVF/ICSI; OUTCOMES; IMPROVE;
D O I
10.3389/fendo.2022.870708
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
PurposeThis study aimed to develop a risk prediction of fertilization disorders during the in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). MethodsA retrospective study was performed with 106,728 fresh embryo IVF/ICSI cycles from 2009 to 2019. Basic characteristics of patients, clinical treatment data, and laboratory parameters were involved. The associations between the selected variables and risks for low fertilization rate (LFR) and total fertilization failure (TFF) were investigated. Ordinal logistic regression and the receiver operating characteristic curves (ROCs) were used to construct and evaluate the prediction models. ResultsA total of 97,181 controls, 4,343 LFR and 5,204 TFF cases were involved in this study. The model based on clinical characteristics (the ages of the couples, women's BMI, types of infertility, ART failure history, the diminished ovarian reserve, sperm quality, insemination method, and the number of oocytes retrieved) had an AUC of 0.743 for TFF. The laboratory model showed that primary infertility, ART failure history, minimal-stimulation cycle/natural cycle, numbers of oocyte retrieved < 5, IVF, and Anti-Mullerian hormone (AMH) level < 1.1ng/ml are predictors of TFF, with an AUC of 0.742. ConclusionWe established a clinical and a laboratory prediction model for LFR/TFF. Both of the models showed relatively high AUCs.
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页数:12
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