Analysis of factors influencing IVF-ET treatment outcome in infertile women and construction of a predictive model

Abstract Objective To construct a predictive model for cumulative live birth rates(CLBRs) in patients treated with IVF-ET,develop a nomogram for individual prediction of CLBRs. Methods Patients who underwent embryo transfer in our hospital from 2017–2021 were selected for retrospective analysis, and the data were randomly divided into modelling group and validation group according to 7:3. The CLBRs nomogram was constructed using the modelling group, and the data of the validation group for internal verification. The discrimination and calibration of the predictive model is assessed by calculating the C-index and plotting the calibration curve of the model. Results A total of 2037 cases were included in the sample data, of which 1425 cases were in the modelling group and 612 cases in the validation group.Multi-factor logistic regression analysis was carried out on the characteristic indicators screened by the univariate analysis.The