Prediction of radial artery diameter in candidates for transradial coronary angiography: Is occupation a factor?

OBJECTIVE: Transradial approach (TRA) for coronary angiography is a popular alternative approach to transfemoral coronary angiography due to the infrequent occurrence of access site complications such as bleeding, hematoma and pseudoaneursym formation. However, not all patients are suitable for TRA. This study aimed to determine the predictors of radial artery diameter in patients who are candidates for TRA. METHODS: The study included 222 consecutive patients who underwent TRA due to suspected stable coronary artery disease. Radial artery diameter was evaluated prior to the procedure using B-mode ultrasonography. RESULTS: Radial artery diameter was correlated with wrist circumference (r=0.539, p<0.001), height (r=0.258, p<0.001), weight (r=0.237, p<0.001), body mass index (r=0.167, p=0.013), shoe size (r=0.559, p<0.001), and pulse pressure (r=-0.161, p=0.016). The right radial artery was larger in men than in women (2.73±0.39 mm vs. 2.15±0.35 mm, p<0.001), and smaller in patients with sedentary office work than in physically active outdoor workers (2.42±0.45 mm vs. 2.81±0.37 mm, p<0.001). Wrist circumference (b=0.044, p<0.001, confidence interval (CI) 95%= 0.025-0.062), shoe size (b=0.075, p=<0.001, CI 95%=0.039-0.112) and occupation (b=0.228, p<0.001, CI 95%=0.138-0.318) were the independent predictors of radial artery diameter in regression analysis. CONCLUSION: In addition to shoe size and wrist circumference, occupation may be an important predictor of radial artery diameter, and it should be evaluated with other clinical parameters in the prediction of radial artery diameter.

Complexity of lower extremity peripheral artery disease reflects the complexity of coronary artery disease.

We investigated the relationship between peripheral artery disease complexity and coronary artery disease complexity in patients with peripheral artery disease. A total of 449 patients were enrolled. SYNTAX score, a marker of coronary artery disease complexity, was assessed by dedicated computer software and complexity of peripheral artery disease was determined by Trans Atlantic Inter-Society Consensus II classification. The SYNTAX score of patients with minimal peripheral artery disease, Trans Atlantic Inter-Society Consensus A, Trans Atlantic Inter-Society Consensus B, Trans Atlantic Inter-Society Consensus C and Trans Atlantic Inter-Society Consensus D were 5 (11), 12.5 (13.25), 20 (14), 20.5 (19) and 27.5 (19), respectively (values in brackets represent the interquartile range). SYNTAX score and Trans Atlantic Inter-Society Consensus class was moderately correlated (r = 0.495, p < 0.001). In multivariate regression analysis male sex (B = 0.169, p < 0.001, CI95% = 0.270-0.735), Log10 SYNTAX score (B = 0.282, p < 0.001, CI95% = 0.431-0.782), Log10 creatinine (B = 0.081, p = 0.036, CI95% = 0.043-1.239), low-density lipoprotein (B = 0.114, p = 0.003, CI95% = 0.001-0.006) and high-density lipoprotein (B = -0.360, p < 0.001, CI95% = -0.063 to -0.041) were the independent predictors of Trans Atlantic Inter-Society Consensus II class. We have shown that patients with complex peripheral artery disease had complex coronary artery disease.

Ankle brachial index intensifies the diagnostic accuracy of epicardial fat thickness for the prediction of coronary artery disease complexity.

OBJECTIVES: Epicardial fat thickness (EFT) and Ankle brachial index (ABI) are associated with coronary artery disease (CAD). The SYNTAX score (SS) reflects the complexity of CAD. We aimed to evaluate the relation of EFT and ABI with CAD complexity. METHODS: We enrolled 197 patients undergoing coronary angiography. In all patients, ABI and EFT were determined. SS was calculated. The relationship between EFT, ABI and SS was analysed. RESULTS: ABI and EFT were significantly correlated with SS (r = -0.525, p < 0.001, and r = 0.650, p < 0.001, respectively) and found to be independent predictors of SS. ABI<0.9mm identified patients with SS>22 with a sensitivity of 45.28% and a specificity of %82.64 (AUC = 0.689, %95 CI = 0.619-0.763, p<0.001). The optimal cutoff value for EFT was 5mm, yielding a sensitivity of 81.1% and a specificity of 90.3% (AUC = 0.859, 95% CI 0.802-0.904). In order to identify which parameters were the most accurate, we compared both AUC of ROC curves and there was no difference (p = 0.170). CONCLUSION: EFT and ABI enables the noninvasive prediction of CAD severity in patients with suspected CAD and combining ABI to EFT was additive for the prediction of coronary artery disease complexity.