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Updated: Jun 24, 2026

Leveraging Turbidity and Thromboelastography for Complementary Clot Characterization
Published on: June 4, 2020
Usefulness of Clot Waveform Analysis-Activated Thromboplastin Time (APTT) for Diagnosing Thrombotic Diseases
Hiyori Ikeda1, Hideo Wada2, Nobuo Arai3
1Department of Central Laboratory, Mie Prefectural General Medical Center, Yokkaichi, Japan.
ObjectiveClot waveform analysis (CWA)-activated partial thromboplastin time (APTT) has been used for the diagnosis of bleeding disorders. In addition to previous parameters such as Min 1, Min 2, and Max 2, we analyzed the area under the curve (AUC) of CWA (CWA-AUC) to examine its usefulness in the diagnosis of thrombosis.Materials and MethodsHypercoagulability in patients with acute myocardial infarction (AMI), acute cerebral infarction (ACI), chronic liver disease (CLD), and cancer and in healthy volunteers (HVs) was examined using CWA-APTT.ResultsMin 1 and Min 2 times were significantly shorter in patients with CLD, cancer, ACI, and AMI than in HVs. Min 1, Min 2, Max 2 and CWA-AUC were significantly higher in patients with cancer, ACI, and AMI than in HVs and patients with CLD and were significantly higher in individuals with thrombotic diseases (AMI and ACI) than in non-thrombotic individuals. ROC analyses for thrombosis vs. HVs or non-thrombotic individuals, Min 1, Min 2, Max 2, and CWA-AUC were useful for the diagnosis of thrombosis.In conclusionCWA-APTT was suggested to be potentially useful in diagnosing the risk of thrombosis, including AMI and ACI. Min1, Min2, and CWA-AUC are useful for diagnosing thrombosis, with CWA-AUC being the most effective.
ObjectiveClot waveform analysis (CWA)-activated partial thromboplastin time (APTT) has been used for the diagnosis of bleeding disorders. In addition to previous parameters such as Min 1, Min 2, and Max 2, we analyzed the area under the curve (AUC) of CWA (CWA-AUC) to examine its usefulness in the diagnosis of thrombosis.Materials and MethodsHypercoagulability in patients with acute myocardial infarction (AMI), acute cerebral infarction (ACI), chronic liver disease (CLD), and cancer and in healthy volunteers (HVs) was examined using CWA-APTT.ResultsMin 1 and Min 2 times were significantly shorter in patients with CLD, cancer, ACI, and AMI than in HVs. Min 1, Min 2, Max 2 and CWA-AUC were significantly higher in patients with cancer, ACI, and AMI than in HVs and patients with CLD and were significantly higher in individuals with thrombotic diseases (AMI and ACI) than in non-thrombotic individuals. ROC analyses for thrombosis vs. HVs or non-thrombotic individuals, Min 1, Min 2, Max 2, and CWA-AUC were useful for the diagnosis of thrombosis.In conclusionCWA-APTT was suggested to be potentially useful in diagnosing the risk of thrombosis, including AMI and ACI. Min1, Min2, and CWA-AUC are useful for diagnosing thrombosis, with CWA-AUC being the most effective.
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