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

Prediction of Fertilization Disorders in the In Vitro Fertilization/Intracytoplasmic Sperm Injection: A Retrospective Study of 106,728 Treatment Cycles.
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DOI:
10.3389/fendo.2022.870708
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发表时间:
2022
影响因子:
5.2
通讯作者:
Qiao, Jie
Qiao, Jie
中科院分区:
医学2区
文献类型:
--
作者:
Tian, Tian;Chen, Lixue;Yang, Rui;Long, Xiaoyu;Li, Qin;Hao, Yongxiu;Kong, Fei;Li, Rong;Wang, Yuanyuan;Qiao, Jie

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本研究旨在建立一种预测体外受精/卵胞浆内单精子注射(IVF/ICSI)过程中受精障碍风险的方法。对2009年至2019年的106,728个新鲜胚胎IVF/ICSI周期进行了回顾性研究。包括患者的基本特征、临床治疗资料和实验室指标。研究了所选变量与低受精率(LFR)和完全受精失败(TFF)风险之间的关系。有序逻辑回归和受试者工作特征曲线(ROC)被用来构建和评估预测模型。共有97,181名对照,4,343名LFR和5,204名TFF病例参与了这项研究。基于临床特征(夫妇年龄、女性BMI、不孕类型、ART失败史、卵巢储备减少、精子质量、授精方法和获得的卵母细胞数量)的模型对TFF的AUC为0.743。实验室模型显示,原发不孕、ART失败史、最小刺激周期/自然周期、取卵数< 5、IVF和抗苗勒管激素(AMH)水平< 1.1ng/ml是TFF的预测因子,AUC为0.742。我们建立了LFR/TFF的临床和实验室预测模型。两种模型均显示出相对较高的AUC。
This study aimed to develop a risk prediction of fertilization disorders during the in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). A 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. A 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. We established a clinical and a laboratory prediction model for LFR/TFF. Both of the models showed relatively high AUCs.
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