We investigated whether the systemic immune inflammation index (SII) on admission is an independent risk factor that predicts the development of contrast-induced nephropathy (CIN) in patients with non-ST segment elevation myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI). A total of 429 patients with NSTEMI were enrolled in the study. Contrast-induced nephropathy was defined as an increase in serum creatinine level of ≥0.5 mg/dL or ≥25% above baseline within 72 hour after the procedure. Patients were divided into 2 groups: with and without CIN. Demographics, clinical risk factors, angiographic and laboratory parameters, CIN incidence, and SII score were compared between the 2 groups. Non-ST segment elevation myocardial infarction patients, who developed CIN, had higher glucose levels (P = .009), neutrophil counts (P < .001), platelet counts (P < .001), neutrophil-lymphocyte ratios (P < .001), high sensitivity C-reactive protein levels (P = .009), and SII levels (P < .001) than those who did not develop CIN. The receiver operating characteristic curve analysis showed that at a cutoff of 933.2, the value of SII exhibited 77.6% sensitivity and 69.2% specificity for detecting CIN. Our study showed that the SII levels on admission were independently associated with CIN development after PCI in patients with NSTEMI.

Aim: Recently, a new inflammatory and prognostic marker has emerged called as Systemic Immune Inflammation Index (SII). In the current study, we searched the relation between SII and Coronary Collateral Circulation (CCC) formation in stable Coronary Artery Disease (CAD). Materials & methods: 449 patients with stable CAD who underwent coronary angiography and documented coronary stenosis of 95% or more in at least one major coronary vessel were included in the study. The study patients were divided into two groups according to the Rentrop score as well CCC (Rentrop 2–3) and bad CCC (Rentrop 0–1). Blood samples for SII and other laboratory parameters were gathered from all the patients on admission. The SII score was formulized as platelet × neutrophil/lymphocyte counts. Results: Patients, who had developed bad CCC had a higher C-reactive protein (CRP), neutrophil/lymphocyte ratio (NLR), platelets/lymphocyte ratio (PLR) and SII levels compared to those who had developed well CCC (p < 0.001, for all). Multivariate logistic regression analysis showed that high levels of SII was an independent predictor of bad CCC (OR: 1.005, 95% confidence interval (CI): 1.003–1.006, p < 0.001) together with dyslipidemia, high levels of CRP and NLR. In Receiver Operator Characteristic curve (ROC) analysis, the optimal cutoff value of SII to predict poor CCC was found to be 729.8, with 78.4% sensitivity and 74.6% specificity (area under ROC curve = 0.833 (95% CI: 0.777–0.889, p < 0.001). Conclusion: We have demonstrated that SII, a novel cardiovascular risk marker, might be used as one of the independent predictors of CCC development.

Background: Even though medication and interventional therapy have improved the death rate for non-ST elevation myocardial infarction (NSTEMI) patients, these patients still have a substantial residual risk of cardiovascular events. Early identification of high-risk individuals is critical for improving prognosis, especially in this patient group. The focus of recent research has switched to finding new related indicators that can help distinguish high-risk patients. For this purpose, we examined the relationship between the pan-immune-inflammation value (PIV) and the severity of coronary artery disease (CAD) defined by the SYNTAX score (SxS) in NSTEMI patients. Methods: Based on the SxS, CAD patients were split into three groups. To evaluate the risk variables of CAD, multivariate logistic analysis was employed. Results: The PIV (odds ratio: 1.003; 95% CI: 1.001–1.005; p = 0.005) was found to be an independent predictor of a high SxS in the multivariate logistic regression analysis. Additionally, there was a positive association between the PIV and SxS (r: 0.68; p < 0.001). The PIV predicted the severe coronary lesion in the receiver-operating characteristic curve analysis with a sensitivity of 91% and specificity of 81.1%, using an appropriate cutoff value of 568.2. Conclusions: In patients with non-STEMI, the PIV, a cheap and easily measured laboratory variable, was substantially correlated with a high SxS and the severity of CAD.

We investigated the relationship between the C-reactive protein (CRP) to albumin ratio (CAR) and coronary collateral circulation (CCC) in stable coronary artery disease (CAD). Patients with stable CAD (n = 354) who underwent coronary angiography for suspected CAD and had a total occlusion ≥1 major coronary artery were included in the study. The participants were divided into 2 groups according to the Rentrop score as satisfactory CCC (Rentrop 2-3) and poor CCC (Rentrop 0-1). Patients who had poor CCC had a higher CRP, neutrophil/lymphocyte ratio (NLR), and CAR levels compared with those who had satisfactory CCC (P < .001, P = .046, P < .001, respectively). The CAR (odds ratio: 3.522, 95% CI: 2.515-4.932, P < .001), CRP, NLR, and diabetes mellitus were independent predictors of poor CCC. In receiver operator characteristic curve (ROC) analysis, the optimal cutoff value of CAR to predict poor CCC was 1.27 (area under ROC curve = 0.735 [95% CI: 0.667-0.803], P < .001). A raised CAR may be an independent predictor of poor CCC.

BACKGROUND: Atrial fibrillation (AF) is a common cardiac rhythm disorder associated with hemodynamic disruptions and thromboembolic events. While antiarrhythmic drugs are often recommended as the initial treatment, catheter ablation has emerged as a viable alternative. However, the recurrence of AF following ablation remains a challenge, and there is growing interest in exploring inflammatory markers as predictors of recurrence. METHODS: This retrospective, cross-sectional analysis included 249 patients who underwent cryoablation for paroxysmal AF. The relationship between the ‘C-reactive protein (CRP) to albumin ratio (CAR)’ and AF recurrence was examined. RESULTS: Two hundred and forty-nine patients with paroxysmal non-valvular atrial fibrillation were included. They were divided into two groups: those without recurrence (Group 1) and those with recurrence (Group 2). Significant differences were observed in age (57.2 ± 9.9 vs. 62.5 ± 8.4, p = 0.001) and left atrial size (4.0 ± 0.5 vs. 4.2 ± 0.7, p = 0.001) between the two groups. In blood parameters, significant differences were found in CRP (5.2 ± 1.3 vs. 9.4 ± 2.8, p < 0.001) and neutrophil counts (5.1 ± 2.2 vs. 6.7 ± 3.6, p = 0.001). In univariate regression analysis, age (OR: 1.058, CI: 1.024–1.093, p = 0.001), WBC count (OR: 1.201, CI: 1.092–1.322, p < 0.001), neutrophil count (OR: 1.239, CI: 1.114–1.378, p = 0.001), CAR (OR: 1.409, CI: 1.183–1.678, p < 0.001), and left atrial diameter (OR: 0.968, CI: 0.948–0.989, p = 0.002) showed significant associations with AF recurrence. CONCLUSIONS: Inflammation plays a crucial role in the initiation and progression of AF. This study demonstrated that along with age, the CAR can serve as an independent predictor of AF recurrence following cryoablation.