Why the study?
Does high pericardial fat volume associate with the presence and severity of coronary artery disease in patients with intermediate pre-test probability of ischaemic heart disease?
Does high pericardial fat volume associate with the presence and severity of coronary artery disease in patients with intermediate pre-test probability of ischaemic heart disease?
Increased pericardial fat volume is strongly associated with the presence and severity of coronary artery disease, highlighting its potential role as an imaging biomarker in cardiovascular risk assessment.
Hypothesis-generating for pericardial fat as a CAD biomarker; prospective validation required before clinical adoption.
OBJECTIVE: To investigate the association of pericardial fat volume (PFV) with coronary artery disease (CAD) in patients with intermediate pre-test probability of ischaemic heart disease assessed by coronary CT angiography. METHODS: From a total of 115 consecutive Iraqi patients who underwent 64-multislice multidetector CT angiography examinations, only 74 patients (females, 38% and males, 68%) with a mean age of 54 ± 8 years were found to be eligible for statistical analysis. The patients were divided into two groups according to the median value of PFV (above and below 100 ml). RESULTS: The median value of PFV in our study was 100 ml (range, 17-319 ml). A significant association was observed between high PFV and significant coronary artery stenosis (p = 0.005), between high PFV and significant left circumflex stenosis (p = 0.021) and between high PFV and the presence of coronary plaque (p = 0.005). Whereas there was no significant correlation between high PFV and coronary calcium score (p = 0.188), between high PFV and number of diseased coronary vessels (p > 0.3), and between high PFV and body weight and body mass index. CONCLUSION: Increased PFV is strongly associated with the presence and severity of CAD. ADVANCES IN KNOWLEDGE: Our study highlights the role of pericardial fat as an emerging biomarker in cardiovascular risk assessment and supports its association with the magnitude of CAD.
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Nafakhi et al. (2014) studied this question.
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