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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.
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Thrombosis: (1) blood samples collected more than 24 hours after the thrombotic event; (2) blood samples taken while patients were using small-molecule heparin or other medications that could alter blood coagulation status
900 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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