Analysis of endometrial thickness patterns and pregnancy outcomes considering 12,991 fresh IVF cycles

Author:

Liao ShuJie,Wang Renjie,Hu Cheng,Pan Wulin,Pan WeiORCID,Yu Dongyang,Jin Lei

Abstract

Abstract Background Different endometrial patterns have an important effect on the relationship between endometrial thickness (EMT) and clinical pregnancy rate. There is a significant difference in age, selection of cycle protocols, and clinical pregnancy rates among four groups with diverse endometrial patterns. Methods This retrospective study aimed to assess the association between EMT on human chorionic gonadotropin (HCG) administration day and the clinical outcome of fresh in vitro fertilization (IVF). The 5th, 50th, and 95th percentiles for EMT were determined as 8, 11, and 14 mm, respectively. Patients were sub-divided into four groups based on their EMT in different endometrial patterns (Group 1: < 8 mm; Group 2: ≥ 8 and ≤ 11 mm; Group 3: > 11 and ≤ 14 mm; Group 4: > 14 mm). We divided patients into three groups based on their endometrial pattern and evaluated the correlation between EMT and clinical pregnancy rate. Results We found a positive correlation between pregnancy rates and EMT in all endometrial patterns. Multiple logistic regression analysis proved age, duration of infertility, cycle protocols, number of embryos transferred, progesterone on HCG day, endometrial patterns, and EMT have significant effects on clinical pregnancy rates. Meanwhile, there was a significant difference in age, selection of cycle protocols, and clinical pregnancy rates among four groups with diverse endometrial patterns. Conclusions Different endometrial patterns have an important effect on the relationship between EMT and clinical pregnancy rate.

Funder

National Natural Science Foundation of China

the Chinese medical association of clinical medicine special funds for scientific research projects

the Hubei Provincial Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference22 articles.

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