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Dataset Information

A combined clinical and specific genes' model to predict live birth for in vitro fertilization and embryo transfer patients.


ABSTRACT:

Background

We aimed to develop an accurate model to predict live birth for patients receiving in vitro fertilization and embryo transfer (IVF-ET) treatment.

Methods

This is a prospective nested case-control study. Women aged between 18 and 38 years, whose body mass index (BMI) were between the range of 18.5-24 kg/m2, who had an endometrium of ≥ 8 mm at the thickest were enrolled from 2018/9 to 2020/8. All patients received IVF-ET treatment and were followed up until Jan. 2022 when they had reproductive outcomes. Endometrial samples during the window of implantation (LH + 6 to 9 days) were subjected to analyze specific endometrial receptivity genes' expression using real-time PCR (RT-PCR). Patients were divided into live birth group and non-live birth group based o

SUBMITTER: Meng S 

PROVIDER: S-EPMC10541716 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature