Journal of Clinical and Translational Science (Apr 2024)
401 Detecting Hypofibrinolysis in Clinical Coagulation Testing
Abstract
OBJECTIVES/GOALS: The goal of this study is twofold: To develop a method for an ex vivo hypofibrinolytic control and second to analyze patterns in standard and recently developed clinical coagulation assays for the detection of hypofibrinolytic states. METHODS/STUDY POPULATION: We analyzed blood samples from healthy patients first under normal conditions and then laced with human recombinant PAI-1 under three different concentrations. We then analyzed both samples using standard clinical assays (PT, aPTT, D-dimer, Fibrinogen), thromboelastography point-of-care tests (Hemosoncs- Quantra system), and with research assays of clot size and aggregation. Our previous research of diagnostic errors showed the patient group with the highest overall risk of these non-identifiable thrombotic complications was post-menopausal women with chronic diseases. We therefore focused our patient population to healthy post-menopausal women who were not using hormone replacement therapy. RESULTS/ANTICIPATED RESULTS: Research assays showed PAI-1 significantly increased clot size and aggregation. Preliminary results of clinical assays showed no detectable difference in hypofibrinolytic samples at any concentration. We anticipate ongoing testing will show similar results. Results on Quantra tests showed much larger differences between control and hypofibrinolysis samples, and we anticipate ongoing testing will achieving statistical significance. It is still unknown whether the mean value for hypofibrinolysis samples on the Quantra Clot Stability assay will be outside of the “normal” reference range. We theorize that this may be due to hypofibrinolytic changes in the overall structure and core density of the clots. DISCUSSION/SIGNIFICANCE: Cellular stress stimulates a concomitant activation of inflammation and coagulation, including decreased fibrinolysis. Unfortunately, current clinical assays do not assess clot breakdown. This connection would account for the increased rate of thrombosis in patients with chronic inflammation without detectable results on clinical tests.