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Updated: Sep 25, 2025

Leveraging Turbidity and Thromboelastography for Complementary Clot Characterization
Published on: June 4, 2020
Association Between Thromboelastography and Coronary Heart Disease
Liuqiao Yang1,2,3, Lei Ruan4, Yanping Zhao2,3,5
1College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China (mainland).
Insights
Thromboelastography
Area of Science:
- Cardiovascular Medicine
- Hematology
- Biomedical Engineering
Background:
- Thromboelastography (TEG) assesses blood coagulation and predicts outcomes in cardiovascular diseases (CVD).
- Understanding TEG's role in CVD is crucial for risk stratification and management.
Purpose of the Study:
- To investigate the association between TEG parameters and the presence of CVD.
- Specifically examining the relationship between TEG and coronary heart disease (CHD) and ischemic stroke.
Main Methods:
- A single-center case-control study utilizing TEG data from 2015-2019.
- Propensity score matching (nearest-neighbor Mahalanobis) was employed to balance covariates between CVD patients and controls.
- Logistic regression analyses assessed the relationship between TEG and CVD, with subgroup and sensitivity analyses confirming robustness.
Main Results:
- After matching, 151 participants (83 with CVD) were analyzed.
- Coronary heart disease (CHD) patients exhibited significantly higher maximum amplitude (MA) compared to controls (P=0.02).
- Multivariable analysis confirmed MA as an independent predictor of CHD (OR 1.11, P=0.04).
Conclusions:
- Maximum Amplitude (MA) measured by TEG is significantly associated with coronary heart disease (CHD).
- Elevated MA, potentially indicating enhanced platelet reactivity, may be linked to increased CHD risk.
- Further large-scale prospective studies are needed to validate MA's role in CHD risk assessment.
Abstract:
BACKGROUND Thromboelastography (TEG) is a novel blood viscoelasticity detection method revealing blood coagulation status and has been reported to be helpful in predicting clinical outcomes in patients with cardiovascular diseases (CVD). In this study, we aimed to investigate the association between TEG and CVD. MATERIAL AND METHODS A single-center case-control study was performed. Individuals who took TEG tests at Tongji Hospital in Wuhan, China from 2015 to 2019 were included. The nearest-neighbor Mahalanobis matching with replacement, within propensity score calipers of 0.25 was used to control the covariate imbalance between CVD patients and controls. Logistic regression analyses were conducted to assess the relationship between TEG and CVD. Subgroup and sensitivity analyses were performed to evaluate the robustness of the association between TEG and CVD. RESULTS After matching, a total of 151 participants were included in this study, with 83 patients having CVD (49 patients having coronary heart disease [CHD] and 34 patients having an ischemic stroke). By comparison, CHD patients had a significantly higher maximum amplitude (MA) (P=0.02) than controls. After multivariable adjustment, MA (OR 1.11, 95% CI 1.01-1.24, P=0.04) was independently associated with CHD. The association between MA and CHD remained robust across subgroups and in sensitivity analyses. CONCLUSIONS The current study suggests that MA is significantly associated with CHD. Enhanced platelet reactivity as described by high MA might be associated with risk of CHD. The exact role of MA in the measurement of CHD risk needs to be further examined in large-scale prospective cohort studies.
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