Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer
Abstract Background This study aimed to identify multiple endometrial receptivity related factors by applying non-invasive, repeatable multimodal ultrasound methods. Combined with basic clinical data, we further established a practical prediction model for early clinical outcomes in Freeze-thawed Em...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | BMC Pregnancy and Childbirth |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12884-022-04958-8 |
| _version_ | 1798042678025256960 |
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| author | Qian Zhang Xiaolong Wang Yuming Zhang Haiou Lu Yuexin Yu |
| author_facet | Qian Zhang Xiaolong Wang Yuming Zhang Haiou Lu Yuexin Yu |
| author_sort | Qian Zhang |
| collection | DOAJ |
| description | Abstract Background This study aimed to identify multiple endometrial receptivity related factors by applying non-invasive, repeatable multimodal ultrasound methods. Combined with basic clinical data, we further established a practical prediction model for early clinical outcomes in Freeze-thawed Embryo Transfer (FET). Methods Retrospective analysis of clinical data of infertility patients undergoing FET cycle in our Center from January 2017 to September 2019. Receiver operating characteristic (ROC) curve and decision curve analyses were performed by 500 bootstrap resamplings to assess the determination and clinical value of the nomogram, respectively. Results A total of 2457 FET cycles were included. We developed simple nomograms that predict the early clinical outcomes in FET cycles by using the parameters of age, BMI, type and number of embryos transferred, endometrial thickness, FI, RI, PI and number of endometrial and sub-endometrial blood flow. In the training cohort, the area under the ROC curve (AUC) showed statistical accuracy (AUC = 0.698), and similar results were shown in the subsequent validation cohort (AUC = 0.699). Decision curve analysis demonstrated the clinical value of this nomogram. Conclusions Our nomogram can predict clinical outcomes and it can be used as a simple, affordable and widely implementable tool to provide guidance and treatment recommendations for FET patients. |
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| format | Article |
| id | doaj.art-9dab425f73904c4cbed78e6980a45dd1 |
| institution | Directory Open Access Journal |
| issn | 1471-2393 |
| language | English |
| last_indexed | 2024-04-11T22:38:48Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pregnancy and Childbirth |
| spelling | doaj.art-9dab425f73904c4cbed78e6980a45dd12022-12-22T03:59:06ZengBMCBMC Pregnancy and Childbirth1471-23932022-08-0122111510.1186/s12884-022-04958-8Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo TransferQian Zhang0Xiaolong Wang1Yuming Zhang2Haiou Lu3Yuexin Yu4Department of Reproductive Medicine, General Hospital of Northern Theater Command, Shenhe DistrictDepartment of Forensic Pathology, School of Forensic Medicine, China Medical UniversityDepartment of Reproductive Medicine, General Hospital of Northern Theater Command, Shenhe DistrictDepartment of Reproductive Medicine, General Hospital of Northern Theater Command, Shenhe DistrictDepartment of Reproductive Medicine, General Hospital of Northern Theater Command, Shenhe DistrictAbstract Background This study aimed to identify multiple endometrial receptivity related factors by applying non-invasive, repeatable multimodal ultrasound methods. Combined with basic clinical data, we further established a practical prediction model for early clinical outcomes in Freeze-thawed Embryo Transfer (FET). Methods Retrospective analysis of clinical data of infertility patients undergoing FET cycle in our Center from January 2017 to September 2019. Receiver operating characteristic (ROC) curve and decision curve analyses were performed by 500 bootstrap resamplings to assess the determination and clinical value of the nomogram, respectively. Results A total of 2457 FET cycles were included. We developed simple nomograms that predict the early clinical outcomes in FET cycles by using the parameters of age, BMI, type and number of embryos transferred, endometrial thickness, FI, RI, PI and number of endometrial and sub-endometrial blood flow. In the training cohort, the area under the ROC curve (AUC) showed statistical accuracy (AUC = 0.698), and similar results were shown in the subsequent validation cohort (AUC = 0.699). Decision curve analysis demonstrated the clinical value of this nomogram. Conclusions Our nomogram can predict clinical outcomes and it can be used as a simple, affordable and widely implementable tool to provide guidance and treatment recommendations for FET patients.https://doi.org/10.1186/s12884-022-04958-8Clinical pregnancy outcomeNomogramEndometrial receptivityFrozen-thawed embryo transfer |
| spellingShingle | Qian Zhang Xiaolong Wang Yuming Zhang Haiou Lu Yuexin Yu Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer BMC Pregnancy and Childbirth Clinical pregnancy outcome Nomogram Endometrial receptivity Frozen-thawed embryo transfer |
| title | Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer |
| title_full | Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer |
| title_fullStr | Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer |
| title_full_unstemmed | Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer |
| title_short | Nomogram prediction for the prediction of clinical pregnancy in Freeze-thawed Embryo Transfer |
| title_sort | nomogram prediction for the prediction of clinical pregnancy in freeze thawed embryo transfer |
| topic | Clinical pregnancy outcome Nomogram Endometrial receptivity Frozen-thawed embryo transfer |
| url | https://doi.org/10.1186/s12884-022-04958-8 |
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