Purpose To establish a reliable nomogram model to predict the risk of major adverse pregnancy outcomes in pregnant women with adenomyosis, and to provide a reference tool for the hierarchical management and the prenatal examination of pregnant women.Methods We collected the clinical data of pregnant women with adenomyosis who were treated in the First A liated Hospital of Chongqing Medical University and the Women and Children's Hospital of Chongqing Medical University from January 2014 to June 2020. They were divided into the training cohort and the validation cohort, respectively.In the training cohort, we screened out risk factors associated with major adverse pregnancy outcomes and established a model, which was subsequently validated.
ResultsIn the training cohort, we found that natural conception or not, type of adenomyosis, previous parity, history of infertility or adverse pregnancy outcomes, history of uterine body surgerywere associated with major adverse pregnancy outcomes of pregnant women with adenomyosis, and based on these factors, a nomogram model was constructed. The calibration curves of the model were well tted in both the training and validation cohorts. The receiver operating characteristic curve (ROC curve)showed that the area under the curve (AUC) was 0.862 and 0.836 in the training and validation cohorts, respectively. The optimal risk threshold of the model was 0.24, and this threshold can be applied to risk strati cation of pregnant women.
ConclusionThe nomogram model established in this study can reliably predict the risk of major APO in pregnant women with AD.