IJCS | Volume 33, Nº1, January / February 2019

60 Figure 1 - Flowchart of patients’ selection. Table 1 - Characteristics of the study population Variable Non-obese (n = 1,068) Obese (n = 315) p Age (years) 58.1 ± 11.2 59.8 ± 11.3 0.02 † Male sex 694 (65.0%) 223 (70.8%) 0.06 †† Weight (kg) 75.8 ± 14.0 99.9 ± 15.9 < 0.001 † Body mass index (kg/m 2 ) 26.2 ± 3.4 34.0 ± 4.0 < 0.001 † Diabetes (n, %) 227 (21.3%) 61 (19.4%) 0.47 †† Hypertension (n, %) 586 (54.9%) 184 (58.4%) 0.27 †† Dyslipidemia (n, %) 413 (38.7%) 108 (34.3%) 0.16 †† Current and previous smoking (n, %) 718 (67.2%) 215 (68.3%) 0.71 †† Family history of CAD (n, %) 169 (15.8%) 53 (16.8%) 0.67 †† Calcium score (median)* 1.4 14.7 0.019 § Prevalence of obstructive CAD (n, %) 197 (18.4%) 58 (18.4%) - CAD: coronary artery disease; *Agatston units; † Unpaired Student’s t-test. †† Chi-squared test ( χ 2 ); § Mann-Whitney test. 1,814 patients enrolled for cardiac/ coronary computed tomography angiography 66 non-coronary cardiac computed tomography excluded (congenital disease, valve disease, evaluation of pulmonar veins etc) 1,748 patients – computed tomography angiography for evaluation of coronary arteries 365 patients with previous coronary artery disease 1,383 patients 1,068 non-obese patients (BMI < 30 kg/m 2 ) 315 obese patients (BMI ≥ 30 kg/m 2 ) Pereira et al. Obesity and coronary artery disease Int J Cardiovasc Sci. 2020;33(1):57-64 Original Article

RkJQdWJsaXNoZXIy MjM4Mjg=