Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approach

ObjectiveTo investigate the predictors of clinical pregnancy and live birth rate in patients with recurrent embryo implantation failure (RIF) treated with in vitro fertilization-embryo transfer (IVF-ET) technique.MethodThis retrospective cohort study was conducted in Jinjiang District Maternal and C...

Full description

Bibliographic Details
Main Authors: Yan Jia, Zhonghua Ai, Xianglong Zhu, Zhuohang Che, Adhikari Pratikshya, Songyuan Tang, Qiong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1348733/full
_version_ 1797205838383808512
author Yan Jia
Yan Jia
Yan Jia
Zhonghua Ai
Xianglong Zhu
Zhuohang Che
Adhikari Pratikshya
Songyuan Tang
Qiong Zhang
author_facet Yan Jia
Yan Jia
Yan Jia
Zhonghua Ai
Xianglong Zhu
Zhuohang Che
Adhikari Pratikshya
Songyuan Tang
Qiong Zhang
author_sort Yan Jia
collection DOAJ
description ObjectiveTo investigate the predictors of clinical pregnancy and live birth rate in patients with recurrent embryo implantation failure (RIF) treated with in vitro fertilization-embryo transfer (IVF-ET) technique.MethodThis retrospective cohort study was conducted in Jinjiang District Maternal and Child Health Hospital, Chengdu City, Sichuan Province, China. Patients were recruited who were enrolled at this hospital between November 1, 2019 and August 31, 2022, and who met the following criteria: a frozen embryo transfer (FET) at day 5 or 6 blastocyst stage was performed and the number of transfer cycles was not less than two. We collected information on age, height, weight, number of embryo transfer cycles, and information related to clinical outcomes. We used the group of patients who underwent ERA testing as the study group and those who underwent FET only as the control group, and matched baseline characteristics between the two groups by propensity score to make them comparable. We compared the differences in clinical outcomes between the two groups and further explored predictors of pregnancy and live birth using survival analysis and COX regression modeling.ResultsThe success rate of clinical pregnancy in RIF patients was 50.74% and the live birth rate was 33.09%. Patients in the FET group were less likely to achieve clinical pregnancy compared to the ERA group (HR = 0.788, 95%CI 0.593–0.978, p < 0.05). Patients with >3 previous implantation failures had a lower probability of achieving a clinical pregnancy (HR = 0.058, 95%CI 0.026–0.128, p < 0.05) and a lower likelihood of a live birth (HR = 0.055, 95%CI 0.019–0.160, p < 0.05), compared to patients with ≤3 previous implantation failures. Patients who had two embryos transferred were more likely to achieve a clinical pregnancy (HR = 1.357, 95%CI 1.079–1.889, p < 0.05) and a higher likelihood of a live birth (HR = 1.845, 95%CI 1.170–2.910, p < 0.05) than patients who had a single embryo transfer. Patients with concomitant high-quality embryo transfer were more likely to achieve a clinical pregnancy compared to those without high-quality embryo transfer (HR = 1.917, 95%CI 1.225–1.863, p < 0.05).ConclusionNot receiving an ERA, having >3 previous implantation failures, using single embryo transfer and not transferring quality embryos are predictors for clinical pregnancy in patients with RIF. Having>3 previous implantation failures and using single embryo transfer were predictors for live birth in patients with RIF.
first_indexed 2024-04-24T08:57:29Z
format Article
id doaj.art-5b2a2969f0f64aa8ad724ce7cf9867b6
institution Directory Open Access Journal
issn 2296-858X
language English
last_indexed 2024-04-24T08:57:29Z
publishDate 2024-04-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Medicine
spelling doaj.art-5b2a2969f0f64aa8ad724ce7cf9867b62024-04-16T05:02:18ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2024-04-011110.3389/fmed.2024.13487331348733Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approachYan Jia0Yan Jia1Yan Jia2Zhonghua Ai3Xianglong Zhu4Zhuohang Che5Adhikari Pratikshya6Songyuan Tang7Qiong Zhang8Department of Reproductive Immunology, Sichuan Jinxin Xi’nan Women’s and Children’s Hospital, Chengdu, Sichuan, ChinaAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaChengdu Jinjiang District Maternal and Child Health Hospital, Chengdu, Sichuan, ChinaInstitute of Health Studies, School of Public Health, Kunming Medical University, Kunming, Yunnan, ChinaInstitute of Health Studies, School of Public Health, Kunming Medical University, Kunming, Yunnan, ChinaInstitute of Health Studies, School of Public Health, Kunming Medical University, Kunming, Yunnan, ChinaInstitute of Health Studies, School of Public Health, Kunming Medical University, Kunming, Yunnan, ChinaInstitute of Health Studies, School of Public Health, Kunming Medical University, Kunming, Yunnan, ChinaDepartment of Reproductive Medicine, The Affiliated Hospital of Yunnan University, Kunming, Yunnan, ChinaObjectiveTo investigate the predictors of clinical pregnancy and live birth rate in patients with recurrent embryo implantation failure (RIF) treated with in vitro fertilization-embryo transfer (IVF-ET) technique.MethodThis retrospective cohort study was conducted in Jinjiang District Maternal and Child Health Hospital, Chengdu City, Sichuan Province, China. Patients were recruited who were enrolled at this hospital between November 1, 2019 and August 31, 2022, and who met the following criteria: a frozen embryo transfer (FET) at day 5 or 6 blastocyst stage was performed and the number of transfer cycles was not less than two. We collected information on age, height, weight, number of embryo transfer cycles, and information related to clinical outcomes. We used the group of patients who underwent ERA testing as the study group and those who underwent FET only as the control group, and matched baseline characteristics between the two groups by propensity score to make them comparable. We compared the differences in clinical outcomes between the two groups and further explored predictors of pregnancy and live birth using survival analysis and COX regression modeling.ResultsThe success rate of clinical pregnancy in RIF patients was 50.74% and the live birth rate was 33.09%. Patients in the FET group were less likely to achieve clinical pregnancy compared to the ERA group (HR = 0.788, 95%CI 0.593–0.978, p < 0.05). Patients with >3 previous implantation failures had a lower probability of achieving a clinical pregnancy (HR = 0.058, 95%CI 0.026–0.128, p < 0.05) and a lower likelihood of a live birth (HR = 0.055, 95%CI 0.019–0.160, p < 0.05), compared to patients with ≤3 previous implantation failures. Patients who had two embryos transferred were more likely to achieve a clinical pregnancy (HR = 1.357, 95%CI 1.079–1.889, p < 0.05) and a higher likelihood of a live birth (HR = 1.845, 95%CI 1.170–2.910, p < 0.05) than patients who had a single embryo transfer. Patients with concomitant high-quality embryo transfer were more likely to achieve a clinical pregnancy compared to those without high-quality embryo transfer (HR = 1.917, 95%CI 1.225–1.863, p < 0.05).ConclusionNot receiving an ERA, having >3 previous implantation failures, using single embryo transfer and not transferring quality embryos are predictors for clinical pregnancy in patients with RIF. Having>3 previous implantation failures and using single embryo transfer were predictors for live birth in patients with RIF.https://www.frontiersin.org/articles/10.3389/fmed.2024.1348733/fullin vitro fertilizationrecurrent embryo implantation failureclinical pregnancylive birthpredictor
spellingShingle Yan Jia
Yan Jia
Yan Jia
Zhonghua Ai
Xianglong Zhu
Zhuohang Che
Adhikari Pratikshya
Songyuan Tang
Qiong Zhang
Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approach
Frontiers in Medicine
in vitro fertilization
recurrent embryo implantation failure
clinical pregnancy
live birth
predictor
title Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approach
title_full Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approach
title_fullStr Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approach
title_full_unstemmed Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approach
title_short Analysis of predictors of clinical pregnancy and live birth in patients with RIF treated with IVF-ET technology: a cohort study based on a propensity score approach
title_sort analysis of predictors of clinical pregnancy and live birth in patients with rif treated with ivf et technology a cohort study based on a propensity score approach
topic in vitro fertilization
recurrent embryo implantation failure
clinical pregnancy
live birth
predictor
url https://www.frontiersin.org/articles/10.3389/fmed.2024.1348733/full
work_keys_str_mv AT yanjia analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT yanjia analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT yanjia analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT zhonghuaai analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT xianglongzhu analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT zhuohangche analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT adhikaripratikshya analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT songyuantang analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach
AT qiongzhang analysisofpredictorsofclinicalpregnancyandlivebirthinpatientswithriftreatedwithivfettechnologyacohortstudybasedonapropensityscoreapproach