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基于体外受精-胚胎移植（IVF-ET）和卵胞浆内单精子注射（ICSI）辅助生殖技术建立分析临床妊娠结局的预测模型。

Establishment of predictive model for analyzing clinical pregnancy outcome based on IVF-ET and ICSI assisted reproductive technology.

作者信息

Jiang Songwei, Li Liuming, Li Feiwen, Li Mujun

机构信息

Guangxi Reproductive Medicine Research Center, The First Affiliated Hospital of Guangxi Medical University, Nanning City 530021, Guangxi Province, China.

出版信息

Saudi J Biol Sci. 2020 Apr;27(4):1049-1056. doi: 10.1016/j.sjbs.2020.02.021. Epub 2020 Mar 4.

DOI:10.1016/j.sjbs.2020.02.021
PMID:32256165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7105670/
Abstract

UNLABELLED

In order to explore the predictive model for analyzing clinical pregnancy outcomes based on IVF-ET (in vitro fertilization and embryo transfer) and ICSI (Intracytoplasmic sperm injection) assisted reproductive technology (ART).

METHODS

this study selected the embryo transfer (fresh) patients who received IVF-ET or ICSI treatment in the First Affiliated Hospital of Guangxi Medical University as the subjects. Moreover, the controlled ovarian stimulation (COS) and follow-up were conducted to collect relevant data for analysis, and finally a prediction model was established.

RESULTS

The results showed that the patients were divided into different ovarian response groups at first. The age, bFSH and bFSH/bLH were the highest in the poor ovarian response group (POR), followed by the normal ovarian response group (NOR) and the lowest in the high ovarian response group (HOR). The area under the ROC curve was 0.669 according to the predictive model of pregnancy-related factors. The confidence interval of 94% was 0.629-0.697, with statistical significance (P = 0.000, P < 0.01).

CONCLUSION

it can be concluded that in clinical pregnancy, for many related factors, regression equation can be used to establish a prediction model to diagnose the success rate of pregnancy. In conclusion, a prediction model can be built based on the relevant experimental results, to provide experimental reference ideas for increasing the success rate of ART in late clinical pregnancy, which is of great research significance.

摘要

未标注

为了探索基于体外受精-胚胎移植（IVF-ET）和卵胞浆内单精子注射（ICSI）辅助生殖技术（ART）分析临床妊娠结局的预测模型。

方法

本研究选取在广西医科大学第一附属医院接受IVF-ET或ICSI治疗的胚胎移植（新鲜）患者作为研究对象。此外，进行控制性卵巢刺激（COS）并随访以收集相关数据进行分析，最终建立预测模型。

结果

结果显示，患者首先被分为不同的卵巢反应组。卵巢反应不良组（POR）的年龄、基础促卵泡生成素（bFSH）和bFSH/bLH最高，其次是正常卵巢反应组（NOR），高卵巢反应组（HOR）最低。根据妊娠相关因素的预测模型，ROC曲线下面积为0.669。94%的置信区间为0.629 - 0.697，具有统计学意义（P = 0.000，P < 0.01）。

结论

可以得出结论，在临床妊娠中，对于多种相关因素，可以使用回归方程建立预测模型来诊断妊娠成功率。总之，可以根据相关实验结果构建预测模型，为提高ART在临床妊娠后期的成功率提供实验参考思路，具有重要的研究意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/ddf5aeeaa768/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/6b68df30dcc0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/54a2b099a412/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/ad0328da608c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/1ed0c9d98ad0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/a177c8bba9d5/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/ddf5aeeaa768/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/6b68df30dcc0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/54a2b099a412/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/ad0328da608c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/1ed0c9d98ad0/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/a177c8bba9d5/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6c/7105670/ddf5aeeaa768/gr6.jpg

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