Risk-factor model for postpartum hemorrhage after cesarean delivery: a retrospective study based on 3498 patients.

ABSTRACT: This study aimed to investigate the risk factors of patients with postpartum hemorrhage (PPH) after cesarean delivery (CD) and to develop a risk-factor model for PPH after CD. Patients were selected from seven affiliated medical institutions of Chongqing Medical University from January 1st, 2015, to January 1st, 2020. Continuous and categorical variables were obtained from the hospital's electronic medical record systems. Independent risk factors were identified by univariate analysis, least absolute shrinkage and selection operator and logistic regression. Furthermore, logistic, extreme gradient boosting, random forest, classification and regression trees, as well as an artificial neural network, were used to build the risk-factor model. A total of 701 PPH cases after CD and 2797 cases of

SUBMITTER: Gong J 

PROVIDER: S-EPMC9772352 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature