Normalization processing enables peak-related parameters to more accurately reflect coagulation factor activity, achieving over 90% concordance in differentiating Mild/moderate hemophilia samples from normal samples.
Does normalization and multi-parameter combination of CWA-APTT improve correlation with coagulation factor activity and differentiation of sample types in patients with prolonged APTT?
Normalization and multi-parameter combination of CWA-APTT parameters significantly improves the assay's ability to reflect coagulation factor activity and distinguish between hemophilia and lupus anticoagulant samples.
Effect estimate: Concordance rates over 90% for Mild/moderate hemophilia A
Background: The evaluation of a prolonged activated partial thromboplastin time (APTT) traditionally relies on a diagnostic cascade, including mixing studies to screen for inhibitors, specific factor activity assays, and specialized tests like lupus anticoagulant detection. Activated partial thromboplastin time-based clot waveform analysis (CWA-APTT) has emerged as an optical technique that captures the entire kinetic profile of clot formation, offering potential for enhanced diagnostic triage and monitoring. However, conventional analysis of CWA-APTT parameters, particularly peak-related metrics, is confounded by variables like fibrinogen concentration, limiting their specificity for accurately quantifying coagulation factor activity. Furthermore, the diagnostic utility of time-distribution parameters remains underexplored, especially for distinguishing between factor deficiencies and phospholipid-dependent inhibitors. This study aims to improve the correlation between peak-related parameters in APTT-based clotting curves and coagulation factor activity through novel data analysis methods and to investigate the potential clinical utility of time-distribution parameters in distinguishing sample types. Methods: A total of 263 blood samples collected from patients with hemophilia A, hemophilia B, or lupus anticoagulant positivity were used to perform CWA-APTT. Normalization methods were applied to process the characteristic parameters in CWA-APTT. Then, the correlation between the processed peak-related parameters and coagulation factor activity was analyzed, and the ability of time-distribution parameters to distinguish different sample types was investigated. Results: Following normalization, peak-related parameters more accurately reflect coagulation factor activity. Time-distribution parameters can also monitor coagulation factor activity and exhibit a certain degree of sample specificity. Combined analysis of time-distribution parameters enhances the ability to distinguish sample types, achieving a higher concordance rate in curve feature recognition compared to APTT correction tests. Conclusion: This study innovatively explored new applications of CWA-APTT characteristic parameters. It was found that normalization enables peak-related parameters to more accurately reflect coagulation factor activity, and multi-parameter combined analysis can significantly enhance the ability of CWA-APTT to distinguish clinical samples. Keywords: normalization, multi-parameter combination, coagulation, CWA-APTT
Dong et al. (Sun,) conducted a other in Prolonged activated partial thromboplastin time (APTT) (n=263). Activated partial thromboplastin time-based clot waveform analysis (CWA-APTT) vs. APTT correction tests was evaluated on Distinguishing different sample types based on time-distribution parameters and correlation of peak-related parameters with coagulation factor activity (Concordance rates over 90% for Mild/moderate hemophilia A). Normalization processing enables peak-related parameters to more accurately reflect coagulation factor activity, achieving over 90% concordance in differentiating Mild/moderate hemophilia samples from normal samples.