Journal
JACC-CARDIOVASCULAR IMAGING
Volume 3, Issue 4, Pages 352-360Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jcmg.2009.12.013
Keywords
pericardial fat; computed tomography; prognosis; cardiovascular events
Funding
- National Institute of Biomedical Imaging and Bioengineering [R21EB006829]
- Glazer Foundation (Los Angeles, California)
- Lincy Foundation (Los Angeles, California)
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OBJECTIVES We aimed to evaluate whether pericardial fat has value in predicting the risk of future adverse cardiovascular outcomes. BACKGROUND Pericardial fat volume (PFV)and thoracic fat volume (TFV) can be routinely measured from noncontrast computed tomography (NCT) performed for calculating coronary calcium score (CCS) and may predict major adverse cardiac event (MACE) risk. METHODS From a registry of 2,751 asymptomatic patients without known cardiac artery disease and 4-year follow-up for MACE (cardiac death, myocardial infarction, stroke, late revascularization) after NCT, we compared 58 patients with MACE with 174 same-sex, event-free control subjects matched by a propensity score to account for age, risk factors, and CCS. The TFV was automatically calculated, and PFV was calculated with manual assistance in defining the pericardial contour, within which fat voxels were automatically identified. Independent relationships of PFV and TFV to MACE were evaluated using conditional multivariable logistic regression. RESULTS Patients experiencing MACE had higher mean PFV (101.8 +/- 49.2 cm(3) vs. 84.9 +/- 37.7 cm(3), p = 0.007) and TFV (204.7 +/- 90.3 cm(3) vs. 177 +/- 80.3 cm(3), p = 0.029) and higher frequencies of PFV > 125 cm(3) (33% vs. 14%, p = 0.002) and TFV > 250 cm(3) (31% vs. 17%, p = 0.025). After adjustment for Framingham risk score (FRS), CCS, and body mass index, PFV and TFV were significantly associated with MACE (odds ratio [OR]: 1.74, 95% confidence interval [CI]: 1.03 to 2.95 for each doubling of PFV; OR: 1.78, 95% CI: 1.01 to 3.14 for TFV). The area under the curve from receiver-operator characteristic analyses showed a trend of improved MACE prediction when PFV was added to FRS and CCS (0.73 vs. 0.68, p = 0.058). Addition of PFV, but not TFV, to FRS and CCS improved estimated specificity (0.72 vs. 0.66, p = 0.008) and overall accuracy (0.70 vs. 0.65, p = 0.009) in predicting MACE. CONCLUSIONS Asymptomatic patients who experience MACE exhibit greater PFV on pre-MACE NCT when they are compared with event-free control subjects with similar cardiovascular risk profiles. Our preliminary findings suggest that PFV may help improve prediction of MACE. (J Am Coll Cardiol Img 2010;3:352-60) (C) 2010 by the American College of Cardiology Foundation
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