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Total Thrombus-Formation Analysis System can Predict 1-Year Bleeding Events in Patients with Coronary Artery Disease
Tatsuro Mitsuse1, Koichi Kaikita1, Masanobu Ishii1
1Department of Cardiovascular Medicine, Graduate School of Medical Sciences, and Center for Metabolic Regulation of Healthy Aging Kumamoto University.
Insights
The Total Thrombus-Formation Analysis System (T-TAS) can predict bleeding events in coronary artery disease (CAD) patients. Lower AR10-AUC30 levels indicate a higher risk of bleeding within one year.
Area of Science:
- Cardiovascular Medicine
- Hematology
- Medical Technology
Background:
- Assessing bleeding risk is crucial for patients with coronary artery disease (CAD).
- The Total Thrombus-Formation Analysis System (T-TAS) offers quantitative thrombus formation analysis.
- Microchip technology with thrombogenic surfaces is utilized in T-TAS.
Purpose of the Study:
- To evaluate the predictive utility of T-TAS parameters for 1-year bleeding events in CAD patients.
- To determine if T-TAS can identify individuals at higher risk of bleeding.
Main Methods:
- 561 patients undergoing coronary angiography for suspected CAD were studied.
- Blood samples were analyzed using T-TAS to compute the AR10-AUC30.
- Patients were stratified into low, intermediate, and high AR10-AUC30 groups.
Main Results:
- Bleeding events occurred in 3.7% of patients (major 1.4%, minor 2.3%).
- Lower AR10-AUC30 levels were significantly associated with bleeding events (p=0.04).
- Multivariate analysis identified low AR10-AUC30 as a significant predictor of bleeding events.
Conclusions:
- AR10-AUC30 levels show potential for predicting 1-year bleeding events in CAD patients.
- T-TAS may aid in personalized antithrombotic therapy management.
- Further research can validate T-TAS for clinical bleeding risk assessment.
Aims:
The assessment of bleeding risk in patients with coronary artery disease (CAD) is clinically important. We recently developed the Total Thrombus-Formation Analysis System (T-TAS) for the quantitative analysis of thrombus formation using microchips with thrombogenic surfaces. Here, we assessed the utility of T-TAS parameters in predicting 1-year bleeding events in patients with CAD.
Methods:
The study subjects were 561 consecutive patients who underwent coronary angiography (CAG) between August 2013 and September 2016 for suspected CAD. Blood samples collected at the time of CAG were used for T-TAS to compute the area under the curve (AUC) (AR10-AUC30) in the AR chip. Patients were divided into three groups according to AR10-AUC30 (low: ≤ 1603, intermediate, and high: >1765, n=187 each). One-year bleeding events were defined by the Platelet Inhibition and Patient Outcomes criteria.
Results:
Bleeding occurred in 21 (3.7%) patients and was classified as major (8 [1.4%]) and minor (13 [2.3%]). The AR10-AUC30 levels were significantly lower in the bleeding group than the non-bleeding group (median [interquartile range] 1590 [1442-1734] vs. 1687 [1546-1797], p=0.04). Univariate Cox regression analysis demonstrated that low AR10-AUC30 , high prothrombin time-international normalized ratio levels, and diabetes correlated with bleeding events. Multivariate Cox regression analysis identified low AR10-AUC30 levels as a significant determinant of bleeding events. Kaplan-Meier survival curves showed a higher rate of bleeding events in the low than the high AR10-AUC30 group (p=0.007).
Conclusions:
The results highlight the potential usefulness of the AR10-AUC30 levels in the prediction of 1-year bleeding events in patients with CAD treated with various antithrombotic therapies.
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