Background and Objectives: In this study, we aimed to investigate the prognostic value of the C-reactive protein to albumin ratio (CAR) for all-cause mortality in patients with chronic heart failure with reduced ejection fraction (HFrEF). Materials and Methods: In total, 404 chronic HFrEF patients were included in this observational and retrospective study. The CAR value of each patient included in this analysis was calculated. We stratified the study population into tertiles (T1, T2, and T3) according to CAR values. The primary outcome of the analysis was to determine all-cause mortality. Results: The median follow-up period in our study was 30 months. In the follow-up, 162 (40%) patients died. The median value of CAR was higher in patients who did not survive during the follow-up [6.7 (IQR = 1.6–20.4) vs. 0.6 (IQR = 0.1–2.6), p < 0.001]. In addition, patients in the T3 tertile (patients with the highest CAR) had a higher rate of all-cause mortality [n = 90 cases (66.2%), p < 0.001]. Multivariate Cox regression analysis revealed that CAR was an independent predictor of mortality in patients with HFrEF (hazard ratio: 1.852, 95% confidence interval: 1.124–2.581, p = 0.005). In a receiver operating characteristic curve analysis, the optimal cut-off value of CAR was >2.78, with a sensitivity of 66.7% and specificity of 76%. Furthermore, older age, elevated N-terminal pro-brain natriuretic peptide levels, and absence of a cardiac device were also independently associated with all-cause death in HFrEF patients after 2.5 years of follow-up. Conclusions: The present study revealed that CAR independently predicts long-term mortality in chronic HFrEF patients. CAR may be used to predict mortality among these patients as a simple and easily obtainable inflammatory marker.

(1) To investigate the role of azurocidin, an antimicrobial protein, in patients with ST segment elevation myocardial infarction (STEMI). (2) This single-center prospective observational study included patients with STEMI and healthy age- and sex-matched control subjects. Baseline demographic, clinical and biochemical data were compared between the two groups. Azurocidin levels at baseline were determined using an enzyme-linked immunosorbent assay. Multivariate linear regression analysis with enter method was used to test the association between azurocidin and independent variables, such as the thrombolysis in myocardial infarction (TIMI) score, synergy between percutaneous coronary intervention with TAXUS and cardiac surgery score, global registry of acute coronary events score, Killip class, C-reactive protein (CRP), and creatinine kinase-myocardial band (CK-MB). (3) A total of 76 patients with STEMI and 30 healthy control subjects were enrolled in the study. Mean ± SD azurocidin levels were significantly higher in patients compared with healthy controls (18.07 ± 13.99 versus 10.09 ± 5.29 ng/mL, respectively). In a receiver-operating characteristic curve analysis, an azurocidin cut-off level of >11.46 ng/mL had 74% sensitivity and 58% specificity in predicting myocardial infarction. Azurocidin levels had a positive correlation with TIMI score (r = 0.651). In multivariate linear regression analysis, the TIMI score was an independent predictor of the azurocidin level. (4) Azurocidin is an infection marker that may be important in patients with STEMI.

Background: We investigated the ability of the platelet-to-hemoglobin ratio (PHR) to predict mortality and disease severity in patients with acute pulmonary embolism (APE). Materials & methods: The... Plain language summary Acute pulmonary embolism is an important cause of death and disability. It is essential to diagnose this disease early, determine its severity and give appropriate treatments...

Syntax score (SS) and Gensini score (GS) are used to determine the complexity and severity of coronary artery disease. Although there are some studies indicating the individual relationship of these scoring systems with the carotid intima–media thickness (cIMT) and epicardial fat tissue (EFT), there was no previous study that compared the SS and GS in that respect. We aimed to assess the relationship of SS and GS with predictors of atherosclerosis. We enrolled 522 patients. There were positive correlations between GS and SS tertiles with cIMT and EFT. According to multivariate linear regression analysis for GS, EFT (β: 0.035, t: 2.63, and P = .49) and cIMT (β: 0.339, t: 2.97, and P = .053) were not independently associated. For SS, EFT (β: 0.009, t: 6.5, and P = .006) and cIMT (β: 1.2, t: 10.1, and P = .001) were independently and significantly associated. We showed that the SS is significantly associated more with surrogate markers of atherosclerosis such as EFT and cIMT than the GS.

Background: Peripheral arterial disease (PAD) causes significant morbidity today. Atherosclerosis is evident in the pathophysiological process in most patients, so PAD has similar risk factors as coronary artery disease. Platelet-Hemoglobin ratio (PHR) has been proven to predict mortality in atherosclerotic heart disease. We aimed to determine the relationship between PHR and below-knee amputation. Methods: The study is a single-center retrospective study. Platelet count/hemoglobin amount formula was used for PHR. Only PAD patients with below-knee critical extremity ischemia and unsuitable for revascularization were included in the study. Results: 235 patients were included in the study retrospectively. The mean age was 65.7 ± 9.9 years and 175(74.5%) of them were male. In the amputated group, white blood cell, neutrophil, platelet, creatinine, glucose, and PHR were higher (p = .031, p = .045, p = .011, p = .048 p = .018, p = .004, respectively). Only hemoglobin values were lower (p = .003). Multivariable regression analysis showed; age, albumin and PHR were determined as independent risk factors for amputation (Age; OR (95%CI): (1.094(1.040–1.152), p = .001) (Albumin; OR (95% CI): 1.950(1.623–1.799), p = .001) (PHR; OR (95% CI): 1.872(1.246–2.812), p = .003). Receiver operating characteristics analysis performed to determine the optimal cut-off value of PHR for amputation, the optimal value was found 2.08 (65.8% sensitivity, 67.5% specificity, p < .001). Conclusions: PHR was a good predictor for BKA. Using the PHR, it may be possible to identify high-risk patients for amputation.

Dyslipidemia is an important risk factor for cardiovascular morbidity and mortality. Although low-density lipoprotein (LDL) is primarily responsible, the importance of triglyceride (TG) and high-density lipoprotein (HDL) has also been recognized. The present study investigated the effect of the atherogenic index of plasma (AIP), in which atherogenic and protective lipoproteins were evaluated together, on the initial flow in patients with ST elevation myocardial infarction. AIP was calculated as log(TG/HDL-cholesterol). Patients included in the study (n = 1535) were divided into Thrombolysis in Myocardial Infarction (TIMI) flow grade 0 and >0. AIP was found to be significantly different between 2 groups (.55 ± .23 vs .67 ± .21; P < .001). AIP was an independent predictor for pre-intervention TIMI flow (Odds Ratio: 2.778). A moderate correlation was found between TIMI frame count measurements, calculated in patients with TIMI 2–3, and AIP (Pearson correlation coefficient: .63, P < .001). In the receiver operating characteristic analysis, AIP showed the highest area under curve (AUC) compared with other lipid parameters for predicting vascular patency. The AUC of AIP was .634, the cut-off value was .59, and the sensitivity and specificity were 67.6% and 68.4%, respectively ( P < .001). In conclusion, AIP was found to be an important marker affecting pre-percutaneous coronary intervention TIMI flow.