Background and Objectives. The coronary slow flow (CSF) is an angiographic finding characterized by delayed opacification of nonobstructive epicardial coronary arteries. Chronic inflammation has been suggested to be mainly responsible for the underlying mechanism of CSF. The systemic immune-inflammation index (SII) is a relatively novel inflammation-based biomarker, derived from counts of peripheral neutrophils, platelets, and lymphocytes, and has been shown to predict clinical outcomes in various malignancies and cardiovascular diseases. The aim of this study is to evaluate the relationship between SII and CSF. Methods. A total of 197 patients (102 patients with CSF; 95 patients with normal coronary flow) were included in this retrospective study. Clinical and angiographic characteristics of patients were obtained from hospital records. Results. Patients with CSF had higher SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), and high-sensitivity C-reactive protein (hsCRP) levels compared with the control group. Body mass index ( , OR 1.151, 95% CI 1.121–1.299), low-density lipoprotein ( , OR 1.028, 95% CI 1.005–1.052), hsCRP ( , OR 1.161, 95% CI 1.004–1.343), and SII ( , OR 1.015, 95% CI 1.003–1.026) were independent predictors of CSF in the multivariable analysis. The optimal cutoff value of SII in predicting CSF was >877 in ROC curve analysis ( , AUC = 0.892, 95% CI 0.848–0.936). This cutoff value of SII predicted the CSF with a sensitivity of 71.5% and specificity of 92.4%. Spearman correlation analysis showed a positive correlation between the mean TFC value and PLR, NLR, hsCRP, and SII. Conclusions. SII may be used as a better indicator for the prediction of CSF than hsCRP.

Background. The mean platelet volume (MPV), the most commonly used measure of the platelet size, is a cheap and easy-to-use marker of the platelet activation. We aimed to evaluate the relationship between preprocedural MPV and other hematologic blood count parameters and in-stent restenosis in patients with superficial femoral artery (SFA) stenting.Methods and Results. The consecutive 118 patients who successfully underwent endovascular stenting of the SFA were enrolled retrospectively in the study. The mean follow-up was 23 ± 12 months. The in-stent restenosis was observed in 42 patients (35.6%). There were no statistically significant differences between the restenosis group and no-restenosis group in terms of age, gender, and smoking (p=0.116,p=0.924, andp=0.428, resp.). In the restenosis group, the MPV level was markedly higher than that in the no-restenosis group, and it was statistically significant (p<0.001). According to the ROC curve analysis, the optimal cutoff value of the MPV to determine the restenosis was >8.7 fL, and the level of the MPV >8.7 fL was a strong predictor of the restenosis (p<0.001) in logistic regression analysis.Conclusions. The measurement of the preprocedural MPV levels may help to identify high-risk patients for development of the in-stent restenosis. These patients may benefit from an aggresive antiplatelet therapy and close follow-up.

Objective: The risk stratification for prognosis in heart failure is very important for optimal disease management and decision making. The aim of this study was to establish a simple discharge 1-year mortality prediction model by integrating data obtained from demographic characteristics, clinical evaluation, laboratory biomarkers and echocardiographic evaluation of hospitalised heart failure with reduced ejection fraction (HFrEF) patients with acute decompensation. Methods and results: A risk score model was developed based on β-coefficient number of variables in a multivariable logistic regression model which was created with the use of data on clinical, laboratory, imaging and therapeutic findings of 670 patients (65.4% males, 65 ± 11 years) who was hospitalised with acute decompensated HFrEF. The mean left ventricular ejection fraction (LVEF) was 26 ± 9%. Independent predictors of mortality were: age ≥75 years, sodium <130 mEq/L, hepatomegaly at admission, unable to use beta-blocker at discharge and LVEF ≤20%. The 1-year mortality rate was 7.8% in the study population. The existence of each predictor was scored as 1 point and the discharge risk score identified patients into low (0–1 points), intermediate (2–3 points) and high (4–5 points) risk individuals with 3, 15.6 and 44.4% 1-year mortality rates, respectively. The model performance evaluated by concordance index was 0.74. Conclusions: This simple discharge risk score model for hospitalised acute decompensated HFrEF patients using easily determined demographic characteristics, clinical signs, echocardiographic and laboratory data is a valuable and an easy risk assessment tool to use at point-of-care.

Background: The endothelial activation and stress index (EASIX), derived from the serum lactate dehydrogenase, creatinine, and platelet counts, is a composite biomarker for endothelial dysfunction and systemic stress. It has been developed to predict clinical outcomes in hematologic malignancies. This study aimed to investigate the EASIX’s predictive role in contrast-induced nephropathy (CIN) and in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI). Methods: A total of 1552 patients with STEMI who underwent primary PCI were retrospectively included. The patients were divided into two groups: CIN (+) and CIN (−). Baseline demographic, laboratory, clinic, and procedural variables were compared between the two groups. Logistic regression analysis was performed to identify independent predictors of CIN and in-hospital mortality, while receiver operating characteristic (ROC) curves were used to determine the optimal EASIX cut-off values. Results: CIN developed in 7.6% (n = 118) of the study population, and these patients had significantly increased EASIX scores. Those with CIN were older and exhibited higher rates of diabetes mellitus, chronic kidney disease (CKD), and decreased left ventricular ejection fraction (LVEF) (all p < 0.001). In multivariable analysis, age (OR 1.053), CKD (OR 1.338), reduced LVEF (OR 0.965), and EASIX (OR 2.467) independently predicted CIN. EASIX > 0.93 demonstrated strong discriminatory ability (AUC 0.785; sensitivity 72% and specificity 72%). EASIX also independently predicted in-hospital mortality (OR 3.592), with an optimal cut-off > 0.88 (AUC 0.774). Conclusions: By integrating markers of renal function, endothelial activation, and systemic stress, EASIX may serve as a useful and reliable indicator for predicting CIN development and in-hospital mortality in STEMI patients undergoing primary PCI.