AIM: The study aimed to examine the association between thoracic periaortic fat tissue volume and the long-term incidence of major adverse cardiovascular events. METHODS: This retrospective cohort study included 433 consecutive patients (372 male and 61 female). Periaortic fat tissue volume was measured via electrocardiogram-gated 64-multidetector computed tomography. The patients were evaluated on an average 3 years of follow-up for major adverse cardiovascular events. The patients were divided into groups according to the presence of major adverse cardiovascular events. RESULTS: Major adverse cardiovascular events were noted in 44 (10.2 %) patients during follow-up. Periaortic fat tissue volume was significantly higher in the major adverse cardiovascular events (+) group (35.4 ± 26.1 cm(3) vs. 24.1 ± 14.9 cm(3), P = 0.001). The logistic regression model showed that periaortic fat tissue volume (hazard ratio: 1.03; 95 % CI: 1.01-1.05; P = 0.001), the glomerular filtration rate (hazard ratio: 0.98; 95 % CI: 0.96-0.99; P = 0.03), and male gender (hazard ratio: 4.76; 95 % CI: 1.08-20.90; P = 0.04) were independent predictors of major adverse cardiovascular events. CONCLUSION: Thoracic periaortic fat tissue volume may be considered a useful new parameter for predicting major adverse cardiovascular events.
AIM: The study aimed to examine the association between thoracic periaortic fat tissue volume and the long-term incidence of major adverse cardiovascular events. METHODS: This retrospective cohort study included 433 consecutive patients (372 male and 61 female). Periaortic fat tissue volume was measured via electrocardiogram-gated 64-multidetector computed tomography. The patients were evaluated on an average 3 years of follow-up for major adverse cardiovascular events. The patients were divided into groups according to the presence of major adverse cardiovascular events. RESULTS: Major adverse cardiovascular events were noted in 44 (10.2 %) patients during follow-up. Periaortic fat tissue volume was significantly higher in the major adverse cardiovascular events (+) group (35.4 ± 26.1 cm(3) vs. 24.1 ± 14.9 cm(3), P = 0.001). The logistic regression model showed that periaortic fat tissue volume (hazard ratio: 1.03; 95 % CI: 1.01-1.05; P = 0.001), the glomerular filtration rate (hazard ratio: 0.98; 95 % CI: 0.96-0.99; P = 0.03), and male gender (hazard ratio: 4.76; 95 % CI: 1.08-20.90; P = 0.04) were independent predictors of major adverse cardiovascular events. CONCLUSION: Thoracic periaortic fat tissue volume may be considered a useful new parameter for predicting major adverse cardiovascular events.
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