Objective To study the risk factors of hyperuricemia in patients with mild coronary artery stenosis. Methods The clinical data of 267 patients, who underwent coronary angiography, were collected and classified into the hyperuricemia group (58.5±8.0 years) and the normal control group (57.3±9.9 years). The coronary artery diameter stenosis of all the patients was lower than 50%. Results Elevated levels of body mass index (BMI), serum creatinine, triglyceride, low level of high-density lipoprotein, and history of hypertension or diabetes mellitus were significantly correlated with increased prevalence of hyperuricemia in patients with mild coronary artery stenosis. Multivariate logistic regression models found that the risk factors were diabetes mellitus (OR=1.999, 95%CI 1.087 to 3.678) , BMI (OR=1.110, 95%CI 1.009 to 1.221), hypertriglyceridemia (OR=1.237, 95%CI 1.023 to 1.496), and serum creatinine (OR=1.026, 95%CI 1.008 to 1.045). Conclusion Diabetes mellitus, BMI, hypertriglyceridemia and serum creatinine are independent risk factors of hyperuricemia in patients with mild coronary artery stenosis.
For coronary artery diseases, imaging diagnosis is usually used to guide the treatment. However, it can only reflect the geometric characteristics of the disease but does not determine the hemodynamically significant stenosis. This study was aimed to investigate the relationship between angiographic and functional severity of coronary artery stenosis and to improve the diagnostic value of imaging. 39 patients with 55 stenosis vessels were included in this study. The correlation between FFR and stenosis rate was analyzed with the medical statistical analysis method, and the influence of the position of stenosis and coronary dominant type on the correlation was discussed. By regression analysis, the stenosis rate of left anterior descending artery of right dominant type showed a significant correlation with FFR value (r≈0.79, P < 0.000 1) after grouping with position and the dominant type. Due to the significance of a value of the FFR < 0.80 in determining inducible ischemia, the diagnostic accuracy of myocardial ischemia by the stenosis rate increased from 70.9% to 82.8% after grouping. Sensitivity (from 72.2% to 78.6%) and specificity (from 70.3% to 86.7%) were also significantly improved. This study indicates that the position of stenosis and the coronary dominant type are significant influence factors on the correlation between FFR and stenosis rate. Consideration of these two factors in the diagnosis of myocardial ischemia by imaging will be helpful to improve the effectiveness of diagnosis.