Abstract
OBJECTIVE: This study aimed to explore the correlation between platelet and coagulation function during late pregnancy with preeclampsia (PE) as well as its severity, and concurrently establish an effective risk model to predict PE. METHODS: As a retrospective case-control study, this research encompassed a sample of 594 patients of late pregnancy in Hangzhou Women's Hospital from January 2021 to April 2024, including 198 cases diagnosed with mild-PE, 198 with severe-PE, and 198 healthy pregnant women. Utilizing both univariate and multivariate analysis, this study conducted a comparison of demographic and laboratory data among these groups to uncover the correlation between platelet parameters, coagulation function, and PE as well as the severity. Ultimately, a receiver operating characteristic (ROC) curve was drawn to evaluate the predictive power of the risk model for PE. RESULTS: Univariate analysis revealed statistically significant differences in platelet count (PC), mean platelet volume (MPV), plateletcrit (PCT), thrombin time (TT), and fibrinogen mean (FIB). Multivariate analysis showed that MPV (adjusted odds ratio (AOR) = 1.882 for mild-PE group and AOR = 2.141 for severe-PE group) and TT (AOR = 3.071 for mild-PE group and AOR = 4.154 for severe-PE group) were associated with PE. The area under curve (AUC) of the risk model of MPV combined with TT, as depicted by the ROC curve, amounted to 0.827, exhibiting a sensitivity of 0.657 and a specificity of 0.879. CONCLUSIONS: MPV and TT are independent risk factors for PE and are associated with its severity. The risk model consisting of MPV and TT possesses a certain predictive capability for PE.