Background This study aimed to investigate the predictive value of the newly defined C-reactive protein (CRP)-toalbumin ratio (CAR) in determining the extent and severity of coronary artery disease (CAD) in comparison with the other inflammatory markers such as neutrophil-tolymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), in patients with non-ST-elevated myocardial infarction (NSTEMI). Patients and methods This study is retrospectively designed and includes 205 patients with NSTEMI with a mean age of 56.6± 11.4 years. The study cohort was subdivided into two groups according to Synergy Between Percutaneous Coronary Intervention with Taxus and cardiac surgery score (SS) as low (<23) and intermediate-high (≥23). Complete blood counts, serum CRP, and serum albumin were obtained at admission. The CAR, NLR, and PLR values of all patients were calculated. Then, we evaluated the relationship of CAR, NLR, and PLR with the CAD extent and severity. Results CAR and NLR were moderately correlated with SS (r = 0.517, P < 0.001; r = 0.222, P = 0.001, respectively), whereas PLR showed weak correlation with SS (r = 0.191, P = 0.006). According to multivariate analysis models, CAR, NLR, and left ventricular ejection fraction were found to be independent predictors of CAD severity (P < 0.05). The area under the curve (AUC) for CAR (AUC: 0.829; 95% confidence interval: 0.770–0.878) was significantly greater than the AUC of NLR (AUC: 0.657; 95% confidence interval: 0.588–0.722), with P value of 0.002. A CAR more than 17 predicted an intermediate-high SS with 86% sensitivity and 76% specificity. Conclusion Novel inflammatory marker CAR can be used as a reliable marker in prediction of CAD severity in patients with NSTEMI.

Background and Aim Psoas muscle area (PMA) can reflect the status of skeletal muscle in the whole body. It has been also reported that decreased PMA was associated with postoperative mortality or morbidity after several surgical procedures. In this study, we aimed to investigate the relation between PMA and mortality in all age groups in intensive care unit (UNIT). Materials and Method The study consists of 362 consecutive patients. The demographic characteristics of patients, indications for ICU hospitalization, laboratory parameters, and clinical parameters consist of mortality and length of stay, and surgery history was obtained from intensive care archive records. Results The mean age was 61.2 ± 18.2 years, and the percentage of female was 33.3%. The mean duration of stay was 10.3 ± 24.4 days. Exitus ratio, partial healing, and healing were 25%, 70%, and 5%, respectively. The mean right, left, and total PMA were 8.7 ± 3.6, 8.9 ± 3.4, and 17.6 ± 6.9, respectively. The left and total PMA averages of the nonoperation patients were statistically significantly lower (p = 0.021  p = 0.043). The mean PMA between the ex and recovered patients were statistically significantly lower (p = 0.001, p = 0.001, p < 0.001). Dyspnoea, renal insufficiency, COPD, transfusion rate, operation rate, ventilator needy, and mean duration of hospitalization were statistically significant higher in patients with exitus. There is a significant difference in operation types, anesthesia type, and clinic rates. Conclusion Our data suggest that sarcopenia can be used to risk stratification in ICU patients. Future studies may use this technique to individualize postoperative interventions that may reduce the risk for an adverse discharge disposition related to critical illness, such as early mobilization, optimized nutritional support, and reduction of sedation and opioid dose.

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.

Objective To investigate whether inflammation based scores including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) predict the slow flow (SF)/no-reflow (NR) phenomenon comparatively in patients with non–ST-elevated Myocardial Infarction (NSTEMI) undergoing percutaneous coronary intervention (PCI). Methods Current study is retrospective designed and includes 426 NSTEMI patients (mean age of 56.8 ± 11.4 years). The patients were grouped into non slow flow/no-reflow and slow flow/no-reflow groups according to postintervention thrombolysis in myocardial infarction flow grade. Results The slow flow/no-reflow group had significantly higher MHR and lower LMR values than the non slow flow/no-reflow group (P < 0.01 and P < 0.01, respectively). Lower LMR [odds ratio (OR): 0.659, P < 0.01] and higher MHR (OR: 1.174, P = 0.04) were independent predictors of slow flow/no-reflow phenomenon in model 1 and 2 multivariate analyses, respectively. Furthermore, left ventricular ejection fraction (LVEF) (OR: 0.934, P = 0.01; OR: 0.930, P < 0.01), smoking (OR: 2.279, P = 0.03; OR: 2.118, P = 0.04), Syntax score (1.038, P = 0.04; 1.046, P = 0.01) and high thrombus grade (OR: 7.839, P < 0.01; OR: 8.269, P < 0.01), independently predicted the slow flow/no-reflow development in both multivariate analysis models, respectively. The predictive performance of LMR and MHR was not different (P = 0.88), but both predictive powers were superior to NLR (P < 0.01 and P = 0.03, respectively). Conclusion The MHR and LMR may be useful inflammatory biomarkers for identifying high-risk individuals for the development of slow flow/no reflow in NSTEMI patients who underwent PCI.

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In concordance with these findings, the ejection fraction was slightly higher in Group A than in Group B, although this was not statistically significant (47% versus 44%). This trend continued during a 6-month follow-up after randomization. Our findings suggest that early administration of aldosterone blockers provides additional benefits after AMI, reducing the incidence of post-MI angina pectoris and rhythm and conduction disturbances.

SxS is a useful tool that can predict in-hospital outcomes of patients with STEMI undergoing pPCI.