Background and objectives: In this study, we aimed to evaluate whether the systemic immune-inflammation index (SII) has a prognostic value for major adverse cardiac events (MACEs), including stroke, re-hospitalization, and short-term all-cause mortality at 6 months, in aortic stenosis (AS) patients who underwent transcatheter aortic valve implantation (TAVI). Materials and Methods: A total of 120 patients who underwent TAVI due to severe AS were retrospectively included in our study. The main outcome of the study was MACEs and short-term all-cause mortality at 6 months. Results: The SII was found to be higher in TAVI patients who developed MACEs than in those who did not develop them. Multivariate Cox regression analysis revealed that the SII (HR: 1.002, 95%CI: 1.001–1.003, p < 0.01) was an independent predictor of MACEs in AS patients after TAVI. The optimal value of the SII for MACEs in AS patients following TAVI was >1.056 with 94% sensitivity and 96% specificity (AUC (the area under the curve): 0.960, p < 0.01). We noted that the AUC value of SII in predicting MACEs was significantly higher than the AUC value of the C-reactive protein (AUC: 0.960 vs. AUC: 0.714, respectively). Conclusions: This is the first study to show that high pre-procedural SII may have a predictive value for MACEs and short-term mortality in AS patients undergoing TAVI.

The prognostic value of malnutrition in elderly patients with non-ST-elevated myocardial infarction (NSTEMI) is not fully understood. Nutritional characteristics were evaluated by novel Controlling Nutritional status (CONUT), the prognostic nutritional index (PNI) and the geriatric nutritional risk index (GNRI) scores. The impact of these scores on major outcomes in 253 NSTEMI patients over 60 years and older were assessed. Compared to those with good nutritional status; malnourished patients had more major adverse cardiac and cerebrovascular events (MACCEs) at 1-year follow up. Multivariable cox regression analysis revealed that CONUT (hazard ratio = 1.372; p < 0.01) was independent predictor of MACCEs, whereas PNI (p = 0.44) and GNRI (p = 0.52) were not. The discriminating power of the CONUT (AUC: 0.79) was adequate and significantly superior to both the PNI (AUC: 0.68) and the GNRI (AUC: 0.60), with a p-value for both < 0.01. Patients with elevated CONUT exhibited the highest event rate for all-cause mortality and MACCEs in survival analysis (p < 0.01). We conclude that malnutrition is strongly associated with adverse outcomes in older patients with NSTEMI. In fact, the CONUT score adequately predicts one-year MACCEs among elderly NSTEMI patients who achieve complete revascularization after coronary intervention.

Introduction: The systemic immune-inflammation index (SII) has been developed based on the calculation of N×P/L (N, P and L represent neutrophil count, platelet count and lymphocyte count, respectively), and it is widely used as a marker of inflammation and an indicator of cardiovascular outcomes in patients with coronary artery disease. We examined a possible association between SII and the presence of isolated coronary artery ectasia (CAE).Material and methods: In this retrospective case-control study, a total of 4400 patients who underwent elective coronary angiography between June 2015 and July 2020 were retrospectively screened. Following the application of exclusion criteria, our study population consisted of 139 CAE patients and 141 age- and gender-matched subjects who proved to have normal coronary angiograms.Results: The median value of SII was found to be statistically significantly higher in patients with CAE (p < 0.01). SII level ≥ 809 measured on admission had 48% sensitivity and 82% specificity in predicting isolated CAE in ROC curve analysis. In this ROC analysis, the predictive powers of neutrophil-to-lymphocyte ratio (NLR) and SII in determining the presence of ectasia were compared, and the predictive power of SII was significantly stronger than N/L ratio (p = 0.003). In the multivariate analysis, hyperlipidaemia (OR = 1.978, 95% CI: 1.168–3.349, p = 0.01), smoking (OR = 1.86, 95% CI: 1.090–3.127, p = 0.023) N/L ratio (OR = 1.192, 95% CI: (1.114–1.997, p = 0.07) and SII (OR = 1.002, 95% CI: 1.001–1.003, p < 0.01) were independent predictors of the presence of isolated CAE.Conclusions: SII is a readily available clinical laboratory value that is associated with the presence of isolated CAE. Our findings may indicate a common pathophysiological mechanism between CAE and coronary artery disease.

Background: The goal of this study was to examine if the uric acid/albumin ratio (UAR) could predict major adverse cardiac and cerebral events (MACCEs) such as stroke, readmission, and short-term all-cause death in aortic stenosis (AS) patients, after transcatheter aortic valve implantation (TAVI). Material and Methods: A total of 150 patients who had TAVI for AS between 2013 and 2022 were included in our study, retrospectively. Before the TAVI, each patient’s baseline uric acid/albumin was determined. The study’s major endpoint was MACCEs, which included stroke, re-hospitalization, and 12-month all-cause death. Results: The UAR was found to be higher in TAVI patients who developed MACCEs than in those who did not develop them. Multivariate Cox regression analysis revealed that the UAR (HR: 95% CI; 2.478 (1.779–3.453) p < 0.01), was an independent predictor of MACCEs in AS patients after TAVI. The optimal value of the UAR for MACCEs in AS patients following TAVI was >1.68 with 88% sensitivity and 66% specificity (AUC (the area under the curve): 0.899, p < 0.01). We noted that the AUC of UAR in predicting MACCEs was significantly higher than the AUC of albumin (AUC: 0.823) and uric acid (AUC: 0.805, respectively). Conclusion: MACCEs in AS patients who received TAVI may be predicted by high pre-procedural uric acid/albumin levels. The uric acid/albumin ratio (UAR) can be used to determine MACCEs in such patients following TAVI because it is inexpensive and straightforward to calculate inflammatory parameters.

Introduction: The current investigation intended to evaluate the correlation between eosinophil-to-lymphocyte ratio (ELR) and the coronary slow-flow phenomenon (CSFP) in patients undergoing elective coronary angiography.Material and methods: A case-control investigation was conducted on 200 individual CSFP patients and another 200 individuals with normal coronary arteries and who were matched for age, gender, and body mass index. ELR was computed by dividing the number of eosinophils by the number of lymphocytes. Thrombolysis in myocardial infarction frame count was used to determine the CSFP.Results: The ELR in the CSFP group was substantially greater than in the control group [0.38 (0.28–0.50)] and [0.22 (0.17–0.35)], p < 0.001, respectively). With the help of multivariable logistic regression analysis, ELR independently predicted the CSFP presence (odds ratio = 1.040, 95% CI: 1.026–1.053), p < 0.001). The effective cutoff point of ELR in predicting CSFP presence was > 0.29 with sensitivity of 77% and specificity of 70%. ELR had better diagnostic accuracy to predict CSFP than either lymphocyte or eosinophil count alone [AUC = 0.746 vs. AUC = 0.687 vs. AUC = 0.687, respectively].Conclusions: To our knowledge, this was the first investigation to determine the connection between ELR and CSFP. We discovered that individuals with CSFP had higher ELR than those with normal coronary arteries in the control group.