This study states that The clot curve (CC) generated by automated coagulometers during activated partial thromboplastin time (aPTT) assay provides data on clot formation kinetics and may reflect the global coagulation state. The role of CC analysis (CCA) as a predictor of thrombophilia in patients with thrombophilia is an unexplored area. Changes of CC parameters in patients undergoing thrombophilia testing were analyzed retrospectively. Assays were performed on the ACL TOP 750 (Instrumentation Laboratory, Medford, Mass). CCA data were compared in patients with thrombophilia testing (positive vs negative) and normal controls using analysis of variance/Kruskal-Wallis or t-test. Thrombophilia-negative patients were further subanalyzed on the basis of elevated fibrinogen or D-dimer abnormalities. CCA data were compared in 170 patients (93 female; mean age, 50 ± 18 years) and 30 normal controls. The thrombophilia test result was positive in 14% (23/170) and negative in 86% (147/170). Positive Results included activated protein C resistance (heterozygous factor V Leiden; n = 13), prothrombin G20210A mutation (n = 7), lupus anticoagulant (n = 3), and antithrombin deficiency.
Reference link- https://www.jvascsurg.org/article/S0741-5214(20)31476-2/fulltext
