Primary Objective:
To develop a thrombotic event risk assessment model integrating serum biomarkers (TM, TAT, t-PAIC, PIC) with clinical data, systematically compare its predictive performance across healthy populations, vascular surgery patients with acute thrombosis, and dialysis patients, and evaluate its predictive advantages over the Padua Prediction Score and D-dimer.
Secondary Objective:
To investigate the expression profiles of these four thrombotic biomarkers in different populations and their associations with thrombotic event types and clinical contexts (e.g., duration of dialysis, anticoagulation regimens), identifying independent risk factors and underlying mechanisms to provide a scientific foundation for stratified thrombotic risk management and personalized intervention strategies.