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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
[Incremental value of epicardial fat volume on predicting obstructive coronary artery disease with myocardial
1Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, the First People's Hospital of Changzhou, Institute of Clinical Translation of Nuclear Medicine and Molecular Imaging, Soochow University, Changzhou 213003, China.
Insights
Epicardial fat volume (EFV) is a significant independent predictor of obstructive coronary artery disease (CAD) with myocardial ischemia. Adding EFV to traditional risk factors and coronary artery calcium (CAC) improves prediction accuracy for this condition.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Context:
- Coronary artery disease (CAD) remains a leading cause of mortality worldwide.
- Accurate risk stratification for obstructive CAD with myocardial ischemia is crucial for timely intervention.
- Epicardial fat volume (EFV) and coronary artery calcium (CAC) are emerging imaging biomarkers.
Purpose:
- To investigate the association between EFV and obstructive CAD with myocardial ischemia.
- To evaluate the incremental predictive value of EFV beyond traditional risk factors and CAC.
Summary:
- This retrospective study analyzed 164 patients undergoing coronary angiography and SPECT-MPI.
- Higher EFV was significantly associated with obstructive CAD and myocardial ischemia (P<0.01).
- EFV independently predicted obstructive CAD with myocardial ischemia, even after adjusting for traditional risk factors and CAC (OR, 4.48).
Impact:
- EFV is a valuable independent predictor for obstructive CAD with myocardial ischemia.
- Incorporating EFV into risk assessment models enhances the prediction of obstructive CAD with myocardial ischemia.
- This finding supports the use of EFV in clinical practice for improved cardiovascular risk stratification.
Abstract:
Objective: This study aimed to investigate the association between epicardial fat volume (EFV) and obstructive coronary artery disease (CAD) with myocardial ischemia, and evaluate the incremental value of EFV on top of traditional risk factors and coronary artery calcium (CAC) in predicting obstructive CAD with myocardial ischemia. Methods: This study was a retrospective cross-sectional study. Patients with suspected CAD who underwent coronary angiography (CAG) and single photon emission computerized tomography-myocardial perfusion imaging (SPECT-MPI) at the Third Affiliated Hospital of Soochow University from March 2018 to November 2019 were consecutively enrolled. EFV and CAC were measured by non-contrast chest computed tomography (CT) scan. Obstructive CAD was defined as coronary artery stenosis≥50% in at least one of the major epicardial coronary arteries, and myocardial ischemia was defined as reversible perfusion defects in stress and rest MPI. Obstructive CAD with myocardial ischemia was defined in patients with coronary stenosis severity≥50% and reversible perfusion defects in the corresponding areas of SPECT-MPI. Patients with myocardial ischemia bot without obstructive CAD were defined as none-obstructive CAD with myocardial ischemia group. We collected and compared the general clinical data, CAC and EFV between the two groups. Multivariable logistic regression analysis was performed to identify the relationship between EFV and obstructive CAD with myocardial ischemia. ROC curves were performed to determine whether addition of EFV improved predictive value beyond traditional risk factors and CAC for obstructive CAD with myocardial ischemia. Results: Among the 164 patients with suspected CAD, 111 patients were males, and average age was (61.4±9.9) years old. 62 (37.8%) patients were included into the obstructive CAD with myocardial ischemia group. 102 (62.2%) patients were included into the none-obstructive CAD with myocardial ischemia group. EFV was significantly higher in obstructive CAD with myocardial ischemia group than in none-obstructive CAD with myocardial ischemia group ((135.63±33.29)cm3 and (105.18±31.16)cm3, P<0.01). Univariate regression analysis showed the risk of obstructive CAD with myocardial ischemia increased by 1.96 times for each SD increase in EFV(OR 2.96; 95%CI, 1.89-4.62; P<0.01). After adjustment for traditional risk factors and CAC, EFV remained as an independent predictor for obstructive CAD with myocardial ischemia (OR, 4.48, 95%CI, 2.17-9.23; P<0.01). Addition of EFV to CAC and traditional risk factors was related to larger AUC for predicting obstructive CAD with myocardial ischemia (0.90 vs. 0.85, P=0.04, 95%CI: 0.85-0.95) and the global chi-square increased by 21.81 (P<0.05). Conclusions: EFV is an independent predictor for obstructive CAD with myocardial ischemia. Addition of EFV to traditional risk factors and CAC has incremental value for predicting obstructive CAD with myocardial ischemia in this patient cohort.
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