Key result
Smoking in metabolic syndrome is linked to ~37% higher epicardial fat volume and increased calcium score.
Why the study?
The relationship between cigarette smoking and epicardial fat in patients with metabolic syndrome at risk for coronary artery disease was not well characterized.
Does cigarette smoking correlate with increased epicardial fat volume and calcium score in patients with metabolic syndrome?
Observational (n=54)
Does cigarette smoking correlate with increased epicardial fat volume and calcium score in patients with metabolic syndrome?
Absolute Event Rate: 138% vs 101%
p-value: p=< 0.01
In patients with metabolic syndrome, cigarette smoking is independently associated with increased epicardial fat volume and higher coronary calcium scores.
Hypothesis-generating for smoking-related risk in metabolic syndrome; should not change practice without prospective validation.
BACKGROUND: The aim of our study was to assess the relationship between cigarette smoking and epicardial fat in a cohort of patients with metabolic syndrome (MetS) at risk for coronary artery disease. METHODS: We studied, in primary prevention, 54 subjects diagnosed with MetS. According to their smoking habits, the subjects were divided into two groups: smokers and non-smokers. Besides anthropometric characterization and screening laboratory tests, the subjects had a multidetector computerized tomography scan, which allowed epicardial fat quantification and calcium score (CS) evaluation. RESULTS: Compared with non-smokers, smokers showed older age (61.6 ± 1.8 vs 56.8 ± 1.2 yrs; p < 0.05). Also, the smokers displayed increased epicardial fat volume (138 [123; 150] vs 101[79; 130] ml; p < 0.01) as well as higher CS (94 [3; 301.5] vs 0 [0;10.2]; p < 0.001), in comparison with non-smokers. Notably, CS was positively correlated with smoking habit (rs 0.469; p < 0.01), epicardial fat (rs 0.377; p < 0.01), age (rs 0.502; p < 0.001) and uric acid (rs 0.498; p < 0.01). Accordingly, the associations between both CS or epicardial fat and cigarette smoking were still maintained after adjustment for age (r 0.317; p < 0.05; r 0.427; p < 0.01). Finally, multiple regression analysis showed that smoke was the variable that best predicted CS (R(2) 0.131; β 0.362; p < 0.05) and epicardial fat (R(2) 0.177; β 0.453; p = 0.01). CONCLUSIONS: Our findings suggest that, in subjects with MetS, cigarette smoking is an independent predictor of increased epicardial fat volume and higher CS.
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Monti et al. (2014) conducted an observational in Metabolic syndrome (MetS) (n=54). Cigarette smoking vs. Non-smokers was evaluated on Epicardial fat volume (ml) (p=< 0.01). Cigarette smoking in patients with metabolic syndrome was associated with increased epicardial fat volume (138 vs 101 ml; p<0.01) and higher calcium score (94 vs 0; p<0.001) compared to non-smokers.
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