Quantitative Plaque Characteristics/Pericoronary Fat Attenuation Index and Acute Coronary Syndrome in Patients With Stable Angina Pectoris
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Published on: August 28, 2018
Defu Li1,2, Yujin Wang2, Tingting Zhu2
1Department of Radiology, Fuyong People's Hospital of Shenzhen Baoan, Shenzhen.
Insights
Pericoronary fat attenuation index (FAI) and plaque characteristics improve the diagnosis of acute coronary syndrome (ACS) in stable angina patients. A peri-LAD FAI >-88 HU value predicts ACS occurrence.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Vascular inflammation plays a role in acute coronary syndrome (ACS) in stable angina patients.
- Pericoronary fat attenuation index (FAI) quantifies coronary inflammation.
Purpose of the Study:
- To investigate the prognostic value of plaque characteristics and FAI in stable angina patients.
- To determine the diagnostic and predictive capabilities of FAI and plaque features for ACS occurrence.
Main Methods:
- Retrospective analysis of risk factors for ACS in stable angina patients.
- Utilized propensity score matching for patient cohort analysis.
- Employed Kaplan-Meier curves to assess ACS event incidence.
Main Results:
- Pericoronary FAI, lipid volume, and lipid percentage improved ACS diagnosis.
- Luminal stenosis ≥50% and FAI >-88 Hounsfield units (HU) were independent risk factors for ACS.
- Peri-left anterior descending artery (LAD) FAI >-88 HU demonstrated superior prediction of ACS occurrence.
Conclusions:
- Lipid volume, percentage, and pericoronary FAI enhance the diagnostic accuracy of luminal stenosis for ACS.
- Peri-LAD FAI >-88 HU is a significant predictor of ACS occurrence in stable angina.
Objective:
Vascular inflammation affects acute coronary syndrome (ACS) occurrence in patients with stable angina. Coronary inflammation can be represented by the pericoronary fat attenuation index (FAI).This study investigated the quantitative prognostic value of plaque characteristics and FAI in patients with stable angina.
Methods:
Risk factors for ACS occurrence in patients with stable angina pectoris were retrospectively analyzed. The diagnostic value of FAI and plaque characteristics for ACS occurrence in these patients were determined; Kaplan-Meier curves were used to predict ACS event incidence.
Results:
After postpropensity score matching, data of 60 and 130 patients with and without ACS, respectively, were analyzed. Pericoronary FAI, lipid volume, and lipid percentage in the narrowest segment significantly improved ACS diagnosis in patients with stable angina. Luminal stenosis ≥50% and FAI >-88 Hounsfield units (HU) were independent risk factors for ACS occurrence in patients with stable angina. Perileft anterior descending artery (LAD) FAI >-88 HU better predicted ACS occurrence in patients with stable angina than did peri-LAD FAI ≤-88 HU.
Conclusions:
In patients with stable angina, lipid volume and percentage and pericoronary FAI improved the diagnostic ability of luminal stenosis for ACS occurrence. Furthermore, peri-LAD FAI >-88 HU could predict ACS occurrence.
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