This study aimed to assess serum irisin level in myocardial infarction (MI) with or without heart failure (HF) and the possible relation between irisin and cardiac markers, TNF-α and lipid profile. 86 subjects were included (33 patients had MI, 33 patients had MI with HF and 20 controls). Body Mass Index (BMI), waist/hip ratio (WHR), systolic and diastolic blood pressure (SBP and DBP), heart rate, left ventricular ejection fraction (LVEF) were measured. Blood samples were withdrawn on admission for measuring irisin, cardiac markers, TNF-α, total cholesterol (TC), triglycerides (TGs), low density lipoprotein-cholesterol concentration (LDL-C) and high-density lipoprotein-cholesterol concentration (HDL-C). Patients with MI and HF had reduced serum irisin, LVEF and HDL-C and higher levels of BMI, WHR, SBP, DBP, troponin-I, CK-MB, TNF-α, TC, TGs and LDL-C compared to control. Negative correlations were observed between irisin and BMI, WHR, SBP, DBP, troponin-I, CK-MB, TNF-α, TC, TGs and LDL-C. However, positive association was noticed between irisin and LVEF and HDL-C. Irisin might be a useful biomarker in diagnosis of MI with or without HF. It could have antiinflammatory and hypolipidemic effects. Further studies are needed to elucidate the role of irisin as a promising prophylactic or therapeutic agent in cardiovascular diseases.

The aim was to study the feasibility of syntax score calculation with Multislice Computed Tomographic Angiography (MSCTA). Methods: Syntax score was calculated and compared for 91 consecutive patients underwent MSCTA and Invasive coronary angiography (ICA). Results: MSCTA for the diagnosis of >50 % stenosis per coronary artery showed that MSCTA had a specificity, sensitivity, specificity, negative predictive value and accuracy of 92.2% (217/ 235), 97.1% (125/129), 98.2% (217/221), and 94.3% (364/386) respectively. Agreement between modalities was high with a kappa of 0.74. There was a positive correlation between MSCTA and ICA Syntax scores (r = 0.73, p = 0.000). The mean Syntax score was 15.8 ± 7.16 for ICA versus 16.3 ± 7.6 for MSCTA (Kappa of Cohen 0.66, p = 0.000). The Bland-Altman plot revealed that the estimated bias was 1.9 ± 3.4 and the most bias occurred with a higher syntax score. Lesions per patient were more identified with MSCTA than ICA (2.5 ± 1.4 vs. 1.9 ± 1.1, p < 0.001), with a good level of agreement (kappa = 0.65). Syntax score per lesion was similar with a high level of agreement (6.3 ± 5.8 vs. 6.0 ± 4.8, kappa = 0.74, p < 0.001). Calcified lesions were identified to a similar extent (28 vs. 26 cases) with a fair level of agreement (kappa = 0.42). Lesions identified with both techniques showed a higher level of agreement than the total score (6.5 ± 4.8 for MSCTA vs. 6.9 ± 6.3 for ICA, p < 0.05), kappa = 0.76. Conclusion: MSCTA showed a good level of agreement with ICA in syntax score calculation.

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