Application Value of Competing Risk Models in the Prevention of Preeclampsia

Abstract

Preeclampsia is a common complication during pregnancy that severely impacts both maternal and fetal health. In recent years, competing risk models have emerged as a novel statistical method increasingly used to investigate the risk factors and prevention strategies associated with preeclampsia. This review summarizes the current applications of competing risk models in preeclampsia research, emphasizing their value in risk assessment, preventive interventions, and clinical decision-making. Additionally, it highlights future research directions that could further enhance the understanding and management of this condition.