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Published on: August 28, 2018
Association of Pericardial Fat with Severity of Coronary Artery Disease
Sunil Kumar K S1, Pankaj Sharma1, Barun Kumar2
1Department of Radiodiagnosis, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Insights
Pericardial fat (PF) measured by multidetector computed tomography (MDCT) is linked to coronary artery disease (CAD) severity. Higher PF levels correlate with increased CAD risk, suggesting PF as a valuable predictor in subclinical cases.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Obesity is a known risk factor for cardiovascular disease.
- Pericardial fat (PF) measurement via multidetector computed tomography (MDCT) shows potential for early coronary artery disease (CAD) risk assessment.
- This study is the first in India to investigate the association between PF and CAD severity.
Purpose of the Study:
- To evaluate the association between PF quantified by MDCT and the severity of CAD.
- To determine if PF volume is a predictor of CAD.
- To explore the relationship between PF and established CAD risk factors.
Main Methods:
- A cross-sectional study involving 80 patients referred for coronary computed tomography.
- Periprostatic fat volume (PFV) was quantified using a semi-automated technique during the end-systolic phase.
- Patients were categorized as "CAD positive" if they showed evidence of CAD.
Main Results:
- A significant association was found between PF and age, body mass index, and risk factors like diabetes and family history.
- Higher PF volumes strongly correlated with higher calcium scores and increased severity of stenosis on computed tomography coronary angiography.
- The median PFV in the study population was approximately 100 mL, with a range of 28 to 547 mL.
Conclusions:
- PF is significantly associated with CAD severity.
- Elevated PF levels are a strong predictor of coronary artery disease.
- PF measurement using MDCT can serve as a valuable risk predictor for subclinical CAD.
Background:
Obesity is a well-known risk factor for cardiovascular disease. Measurement of pericardial fat (PF) by multidetector computed tomography (MDCT) might have potential for early diagnosis and assessment of risk of coronary artery disease (CAD). Our study is the first study from India, wherein we have tried to find the association of PF with the severity of CAD.
Aim And Objective:
To evaluate the association of PF quantified by MDCT with the severity of CAD.
Materials And Methods:
This cross-sectional study was performed at a single-tertiary-care center over a period of 18 months, and included patients who referred for coronary computed tomography: (1) suspected case of CAD, (2) symptomatic patient with intermediate pretest probability of CAD, or uninterpretable electrocardiogram, or unable to exercise on stress test. Periprostatic fat volume (PFV) was quantified using semiautomated technique, for measuring the amount of fat during end-systolic phase. Patients who had evidence of CAD were considered "CAD positive" in this study.
Observation And Results:
A total of 87 patients were enrolled in this study. However, 7 patients were excluded due to motion artifacts and 80 patients (females, 27.5%, and males, 72.5%; mean age, 49.30 ± 12.27 years) were eligible for this study. PFV ranged from 28 to 547 mL, and the median value of PFV was around 100 mL.
Conclusion:
Our study demonstrated a significant association between PF and age/body mass index/risk factors such as diabetes or family history. Higher PF was strongly associated with calcium score and severity of stenosis on computed tomography coronary angiography. Thus, PF is a risk predictor in subclinical CAD patients.
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