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This study aims to analyze the correlation between Systemic Inflammatory Response Index (SIRI) and the severity of coronary artery stenosis in patients with coronary heart disease (CHD). It also aims to assess the predictive value of SIRI for the severity of coronary artery stenosis. A total of 2990 patients who underwent coronary angiography were included in this study. The Gensini score was used to estimate the severity of coronary vascular lesions. The predictive ability of SIRI for CHD was evaluated using receiver operating characteristic (ROC) curves. Binary multivariate logistic regression analysis was used to predict the likelihood of CHD based on the SIRI index. The results showed that people with higher SIRI index were more likely to have CHD (P < 0.001). After controlling for other risk factors, the highest quartile had a significantly higher incidence of coronary artery disease compared to the lowest quartile (odds ratio [OR] 2.25, 95% confidence interval [CI] 1.73-3.92, P < 0.001). Furthermore, the Gensini score was significantly higher in the fourth quartile group (T4) compared to the first (T1) and second (T2) quartile groups (P < 0.001). Additionally, the SIRI index was significantly higher in the group with severe coronary artery lesions compared to the mild and moderate groups (P < 0.001). The SIRI index also showed a higher predictive ability for the extent of coronary lesions under the ROC curve compared to other commonly used markers, including platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte ratio (NLR) (P < 0.001). Therefore, SIRI index positively correlates with coronary artery stenosis in CHD patients, serving as an effective early screening marker for assessing stenosis severity.

Objective: Cardiovascular diseases are the main cause of mortality worldwide. Depression is one of the effective factors in the incidence of cardiovascular diseases like coronary artery stenosis. This study aimed to investigate the relationship between depression symptoms and severity of coronary artery disease (CAD) in patients scheduled for angiography. Method: This prospective, cross sectional research was conducted on as many as 401 patients scheduled to undergo angiography at Dr. Heshmat heart hospital as the referral center in the north of Iran in 2016. Before cardiac catheterization, patients' demographic information (age, gender, level of education, and place of residence) and patients’ medical history (history of diabetes mellitus, hypertension, and family history of cardiac disease) were obtained. Also, Beck Depression Questionnaire 2 (BDI II) was completed by a psychologist before angiography. After collecting the data, SPSS v.21 and statistical tests such as Spearman correlation, and Mann-Whitney U regression were used to analyze the data. Results: After controlling for age, sex, and having history of diabetes mellitus, no relation was found between having depression symptoms and more frequency of vessel involvement (OR = 1.35, 95% CI: 0.92 to 1.98, P =0.130) or higher severity of CAD (OR = 1.47, 95% CI: 0.95 to 2.28, P = 0.087). The results were similar for the relation between severity of depression symptoms and CAD extent or CAD severity. Conclusion: The results of this study showed that in patients undergoing angiography, depression symptoms were not related to CAD severity and number of involved vessels. Depression was associated with angina, independently of CAD severity. Our study found no significant correlation between CAD severity and severity of depression. The reason may be that measuring depression at a single time point cannot accurately reveal the impact of this problem on the trend of atherosclerosis over time.

Coronary artery disease (CAD) has a complex etiology involving numerous environmental and genetic factors of disease risk. To date, the genetic 9p21 locus represents the most robust genetic finding for prevalent and incident CAD. However, limited information is available on the genetic background of the severity and distribution of CAD. CAD manifests itself as stable CAD or acute coronary syndrome. The Gensini score quantifies the extent CAD but requires coronary angiography. Here, we aimed to identify novel genetic variants associated with Gensini score severity and distribution of CAD. A two-stage approach including a discovery and a replication stage was used to assess genetic variants. In the discovery phase, a meta-analysis of genome-wide association data of 4,930 CAD-subjects assessed by the Gensini score was performed. Selected single nucleotide polymorphisms (SNPs) were replicated in 2,283 CAD-subjects by de novo genotyping. We identified genetic loci located on chromosome 2 and 9 to be associated with Gensini score severity and distribution of CAD in the discovery stage. Although the loci on chromosome 2 could not be replicated in the second stage, the known CAD-locus on chromosome 9p21, represented by rs133349, was identified and, thus, was confirmed as risk locus for CAD severity.

OBJECTIVE:The aim of the present study was to investigate the relationship between pericoronary fat and the severity and extent of atherosclerosis, quantified using 64-multidetector computed tomography, in patients with suspected coronary artery disease.METHODS:The study population consisted of 131 patients who were clinically referred for noninvasive multislice computed tomography coronary angiography for the evaluation of coronary artery disease. Patients were classified as follows: no atherosclerosis, Group 1; nonobstructive atherosclerosis (luminal narrowing