摘要
Abstract
Objective:To explore the influencing factors of hypertensive disorders of pregnancy(HDP)after frozen embryo transfer(FET)by a predictive model of HDP.Methods:The clinical data of FET cycles in the Reproductive Medicine Center of the First Hospital of Lanzhou University from January 2019 to May 2023 were included.The cycles that meet the exclusion criteria were excluded.The general clinical data,FET-related data and HDP incidence of the included patients were statistically analyzed.The least absolute shrinkage and selection operator(LASSO)regression technique was used to select the predictors.According to the ratio of 7∶3,the final 4 079 cycles were randomly assigned to the training set(n=2 855)and the validation set(n=1 224).The nomogram prediction model of HDP incidence was established by multiple Logistic regression analysis and use a nomogram to represent it.The area under the curve(AUC),Hosmer-Lemeshow goodness-of-fit test and decision curve analysis(DCA)were used to evaluate this model.Results:Seven non-zero coefficient variables were selected according to LASSO regression analysis.After multivariate Logistic regression analysis,seven factors including endometrial preparation,polycystic ovary syndrome(PCOS),endometriosis,diminished ovarian reserve,family history of hypertension,body mass index,and number of intrauterine gestational sacs were used as the predictors to establish a model and displayed in a nomogram.The AUC of the training set was 0.728,and the AUC of the validation set was 0.734.The Hosmer-Lemeshow test showed that the model fitted well(P=0.867,mean absolute error=0.004).DCA suggested that when the threshold probability of clinical pregnancy was between 7％and 64％,the application of this nomogram could increase the net benefit.Conclusions:The prediction model of HDP after FET has a certain ability to distinguish,which can provide reference for clinical practice,but further development of more effective predictive factors is still necessary.关键词
生殖技术,辅助/冻融胚胎移植/高血压,妊娠性/列线图/预测模型/Logistic模型Key words
Reproductive techniques,assisted/Frozen embryo transfer/Hypertension,pregnancy-induced/Nomograms/Prediction model/Logistic models
