I would like to know about the strategies that are being developed to evaluate the role of peri-coronary fat in the development of coronary artery disease, mainly on the use of cardiac imaging and biochemical markers.
In our study we tried to correlate the thickness of the PRF with the diagnosis
of metabolic syndrome(MS). Methods: A total of 48 volunteers of both sexes, 24 women (F), 15 controls and 9 with MS, and 24 men (M), 12 in each group, selected with basis in their clinical history and physical examination underwent clinical evaluation and ultrasound (US). We did not include those who were using drugs that could interfere with metabolic and hemodynamic profile, and those who drank more than 15 g/day of ethanol. The thickness of the GPR was measured by the distance between the inner face of the transverse muscle of the abdomen and the posterior face of the right kidney. Results: The occurrence of three risk factors for cardiovascular disease was associated with the PRF thicknesses of 0.56 (M) and 0.46 cm (F). These cut-off points were tentatively used as a criterion for diagnosis of MS in the considered population. For a prevalence of 58.3 (H) and 37.5% (F) of SM, the sensitivity was 64.3 (M) and
66,7% (F), with confidence intervals (CI) of 35.1–87.2% (M) and 29.9–92.5% (F) and specificity was 80.0 (M) and 73.3% (F), with CI of 44.4–97.5% (M) and 44.9–92.2% (F); the positive predictive value was 81.8 (M) and 60.0% (F), and the predictive negative value was 61.5 (M) and 78,6% (F); the likelihood ratio (LR) was 3.2 (M) and 2.5 (F) for a positive result, and 0.45 of both sexes for a negative result; the odds ratio was 58.0 (M)and 38.0 (F); and area under the ROC curve was 0.76 (M) and 0.82 (F). Conclusion: The increased thickness of the peri-renal fat showed a strong association with the metabolic syndrome. Therefore, this criterion was shown to be valid for the diagnosis of MS