Coronary Artery Disease (CAD) occurs when the coronary vessels become hardened and narrowed, limiting blood flow to the heart muscles. It is the most common type of heart disease and has the highest mortality rate. Early diagnosis of CAD can prevent the disease from progressing and can make treatment easier. Optimal treatment, in addition to the early detection of CAD, can improve the prognosis for these patients. This study proposes a new method for non-invasive diagnosis of CAD using iris images. In this study, iridology, a method of analyzing the iris to diagnose health conditions, was combined with image processing techniques to detect the disease in a total of 198 volunteers, 94 with CAD and 104 without. The iris was transformed into a rectangular format using the integral differential operator and the rubber sheet methods, and the heart region was cropped according to the iris map. Features were extracted using wavelet transform, first-order statistical analysis, a Gray-Level Co-Occurrence Matrix (GLCM), and a Gray Level Run Length Matrix (GLRLM). The model’s performance was evaluated based on accuracy, sensitivity, specificity, precision, score, mean, and Area Under the Curve (AUC) metrics. The proposed model has a 93% accuracy rate for predicting CAD using the Support Vector Machine (SVM) classifier. With the proposed method, coronary artery disease can be preliminarily diagnosed by iris analysis without needing electrocardiography, echocardiography, and effort tests. Additionally, the proposed method can be easily used to support telediagnosis applications for coronary artery disease in integrated telemedicine systems.

The aim of our study was to determine the role of serum glucose–potassium ratio in predicting inhospital mortality in coronary care unit patients.

Background and Objectives: Heart failure is a chronic disease with a high risk of mortality and morbidity. In these patients, inflammatory markers have been shown to be associated with cardiovascular adverse outcomes and disease progression. To investigate the relationships between eosinophil indices and major cardiovascular events (MACE) in patients with acute decompensated heart failure (ADHF) with reduced ejection fraction. Materials and Methods: A total of 395 consecutive patients admitted to the intensive care unit (ICU) with ADHF and reduced ejection fraction between January 2017 and December 2021 were enrolled in this retrospective study. MACE was defined as the composite of death and re-hospitalization for ADHF within 6 months of index hospitalization. All-cause mortality and MACE were assessed with respect to relationships with eosinophil indices, including neutrophil-to-eosinophil ratio (NER), leukocyte-to-eosinophil ratio (LER), eosinophil-to-lymphocyte ratio (ELR), and eosinophil-to-monocyte ratio (EMR). Results: NER and LER were significantly higher in subjects with MACE. Absolute eosinophil, lymphocyte and basophil count, hemoglobin, serum Na⁺, albumin, and CRP, and EMR and ELR were significantly lower in subjects with MACE compared to those without. NT-proBNP (OR: 1.682, 95% CI: 1.106–2.312, p = 0.001), Na⁺ (OR: 0.932, 95% CI: 0.897–0.969, p < 0.001), NER (OR: 2.740, 95 % CI: 1.797–4.177, p < 0.001), LER (OR: 2.705, 95% CI: 1.752–4.176, p < 0.001), EMR (OR:1.654, 95% CI 1.123–2.436, p = 0.011), ELR (OR: 2.112, 95% CI 1.424–3.134, p < 0.001), and eosinophil count (OR: 1.833, 95% CI 1.276–2.635) were independent predictors for development of MACE. Conclusions: Patients with ADHF and reduced ejection fraction who developed MACE within the first six months of index hospitalization had lower levels of absolute eosinophil and lymphocyte counts, and EMR and ELR values, whereas NER and LER were higher compared to those without MACE. The eosinophil indices were independently associated with mortality and MACE development. The eosinophil indices may be used to estimate MACE likelihood with acceptable sensitivity and specificity.

Background Dual antiplatelet therapy (DAPT) is the treatment of choice for patients with acute and chronic coronary syndromes as it reduces mortality and prevents recurrent thrombotic complications. The assessment of both ischaemic burden and bleeding risk is crucial in deciding which DAPT to choose and how long it should be continued. Objectives The aim of our study was to perform prospective clinical follow-up of patients receiving fixed-dose combination therapy (ASA 75 mg + clopidogrel 75 mg). Our study is a multicentric, cross-sectional, observational, cohort study. Methods A total of 1500 patients who were started on fixed-dose combination DAPT for acute or chronic coronary syndrome were included in the study. Primary endpoints were hospitalization for any reason, hospitalization for cardiovascular cause, acute myocardial infarction, stent thrombosis, target vessel revascularization and bleeding; the secondary endpoints were death for any reason or cardiovascular cause and stroke. The significance level adopted in the statistical analysis was 5%. Results Median age was 63 years; 78.5% of the patients were receiving DAPT treatment for acute coronary syndrome. The rates of hospitalization for cardiovascular reasons, acute myocardial infartion, stent thrombosis and target-vessel revascularization were 7.9%, 2.3%, 1.3% and 4.2%, respectively. While the rate of BARC type 1 bleeding was 3.3%, the rate of BARC type 5, 3, or 2 bleeding was 0.6%. The secondary endpoints which were death from any cause, cardiovascular death and stroke were 0.5%, 0.3% and 0.3%, respectively. Conclusion: Our study shows that fixed-dose combination therapy is effective and safe in appropriately selected patients with acute or chronic coronary syndromes.

Prevention of atherosclerotic cardiovascular diseases (ASCVD) is possible with early recognition of individuals at risk. Salusin alpha is an endogenous bioactive peptide with anti-atherogenic properties. We aimed to reveal the relationship between salusin alpha levels and cardiovascular (CV) risk using the Systematic COronary Risk Estimation 2 (SCORE2) and Pooled Cohort Equation (PCE) algorithms. A total of 137 asymptomatic outpatients were included in the study. The participants were divided into four quartile groups according to the distribution of salusin alpha levels: Q1 (n = 34), Q2 (n = 35), Q3 (n = 34), and Q4 (n = 34). The relationships of salusin alpha with cardiovascular risk scores and groups were investigated. The means of SCORE2 and PCE risk scores (11.24 ± 1.24 and 13.30 ± 1.71, respectively; p < 0.001 for both), baseline scores in the presence of SCORE2 and PCE optimal risk factors (4.82 ± 0.71 (p = 0.034); 4.20 ± 0.77 (p = 0.010)), and means of Δ SCORE2 and Δ PCE risk score (6.41 ± 0.67 and 9.10 ± 1.10, respectively; p < 0.001 for both) were significantly higher in the Q1 group. The SCORE2 “very high” cardiovascular (CV) risk group was significantly represented in the Q1 group (n = 17 (50%)), while the “low-moderate” risk group was more heavily represented in the Q4 group (n = 15 (44.1%)) (p < 0.001). The PCE “high” CV risk group was significantly represented in the Q1 group (n = 9 (26.5%)), while the “low” risk group was more intensely represented in the Q4 group (n = 20 (58.8%)) (p < 0.001). Salusin alpha had a significantly negative moderate correlation with SCORE2 and PCE risk scores. As a result of receiver operating characteristic (ROC) analysis, it was found that salusin alpha had significant diagnostic power in the prediction of CV risk groups determined by SCORE2 and PCE risk scores. Salusin alpha was observed to be a risk-reducing factor in SCORE2 and PCE CV risk groups (odds ratio (OR) (95% confidence interval (CI)): 0.989 (0.982-0.997) (p = 0.002) and OR (95% CI): 0.988 (0.978-0.998) (p = 0.009) respectively). Salusin alpha has a negative correlation with SCORE2 and PCE risk scores. It has significant diagnostic power in the prediction of CV risk groups and is an independent variable that has a risk-reducing effect in the distribution of risk groups.

Aims: Resistant hypertension (RHT) accounts for 10-15% of hypertensive patients, and diagnosis and treatment are more complex in these cases, which means a higher risk of cardiovascular complications. Although the effect of chronic systemic inflammation on the pathophysiology of RHT is known, the effective use of biomarkers is limited. This study investigated the relationship between the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammatory Response Index (SIRI), which are composite inflammatory indices that can be used as markers of chronic inflammation, and RHT, testing their clinical utility and predictive value. Methods: Between April 2022 and January 2025, 256 hypertensive patients followed up at our clinic were defined as having controlled hypertension (CHT) and 244 as having RHT, for a total of 500 patients included in this cross-sectional study. SII and SIRI values were calculated from routine blood count results. Data were analyzed and compared using multivariate logistic regression, quartile analysis, limited cubic spline modeling, and receiver operating characteristic (ROC) curve analysis. Results: Significantly higher SII (480.2 vs. 361.7, p