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 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.

Ultrasound‑assessed endometrial receptivity measures for the prediction of in vitro fertilization‑embryo transfer clinical pregnancy outcomes: A meta‑analysis and systematic review

“…Baseline characteristics and quality assessment of the included studies. In total, 14 cohort studies were included in the present meta-analysis (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29). The combined patient sample size was 4,842.…”

“…In total, 14 cohort studies were included in the present meta-analysis ( 16-29 ). The combined patient sample size was 4,842.…”

A validated model for individualized prediction of pregnancy outcome in woman after fresh cycle of Day 5 single blastocyst transfer

“…Screening of high quality embryos is an important element for successful pregnancy. In addition to embryo quality, the success rate of IVF is also influenced by clinical characteristics and miRNAs expression secreted by blastocysts in the culture medium 2 – 4 , 13 . It is assumed that the combination of clinical characteristics and miRNAs expression could be used to predict pregnancy outcomes.…”

“…It is found that these three clinical parameters are identified as significant predictors (at 5% significance level) of pregnancy. In freeze-thawed embryo transfer cycles, a simple nomogram was developed to predict the early clinical outcomes by using multiple clinical parameters 4 . In the training cohort and validation cohort, the area under the ROC curve (AUC) is respectively 0.698 and 0.699.…”

From past to future: Bibliometric analysis of global research productivity on nomogram (2000–2021)

“…Over time, nomogram is no longer limited to the study of oncology, but more applied to the study of diagnosis and prediction of non-tumor-related diseases. For example, nomograms were used to analyze the correlation between factors in genomics or proteomics and the development and progression of diseases ( 32 – 34 ); Nomograms were used to predict adverse outcomes in obstetrics or reproductive medicine ( 35 – 38 ); it can also be combined with radiomics to analyze the relationship between different image features or image segmentation factors and disease diagnosis ( 39 , 40 ), predict chronic disease incidence in orthopedics ( 41 – 43 ), or analyze and detect the incidence of chronic diseases combined with metabolomics ( 37 ). In addition, the display modes of nomogram are gradually diversified.…”