Unknown

Dataset Information

Ultrasound-based nomogram for postpartum hemorrhage prediction in pernicious placenta previa.


ABSTRACT: Background: Pernicious placenta previa (PPP) is one of the most dangerous complications in pregnancy after cesarean section, with high perinatal mortality. This study aimed to develop a nomogram to predict postpartum hemorrhage in patients with PPP. Methods: A total of 246 patients with confirmed PPP at Shengjing Hospital of China Medical University from January 2018 to December 2021 were included. Patients were divided into to two cohorts depending on a postpartum blood loss of > 1000 ml (n = 146) or ≤ 1000 ml (n = 100). Lasso regression analysis was performed on the risk factors screened by univariate analysis to screen out the final risk factors affecting postpartum hemorrhage. Based on the final risk factors, a Nomogram prediction model with excellent perfor

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC9441797 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature