Objective:In this study, we aimed to explore the association between platelet-to-lymphocyte ratio (PLR) and the severity of atherosclerosis in coronary artery disease (CAD).Methods:Clinical and laboratory data of 388 patients who underwent coronary angiography were evaluated retrospectively. Gensini score, which indicates the severity of atherosclerosis, was calculated for all of the patients. Patients with CAD were categorized as mild and severe atherosclerosis, according to their Gensini score. Eighty patients with normal coronary arteries formed the control group. Mean PLR values of the three study groups were compared. Also, PLR value was tested for whether it showed a positive correlation with Gensini score.Results:The mean PLR of the severe atherosclerosis group was significantly higher than that of the mild atherosclerosis and controls groups (p<0.001). Also, PLR was positively correlated with Gensini score in CAD patients. A cut-off value of 111 for PLR predicted severe atherosclerosis with 61% sensitivity and 59% specificity. Pre-procedural PLR level was found to be independently associated with Gensini score, together with WBC, age, and low HDL level, in the multivariate analysis.Conclusion:Our study suggests that high PLR appears to be additive to conventional risk factors and commonly used biomarkers in predicting severe atherosclerosis.

The aim of the study was to evaluate the utility of the preprocedural platelet-lymphocyte ratio (PLR) for predicting no reflow in patients undergoing primary percutaneous intervention (PCI) for the treatment of ST-segment elevation myocardial infarction. The thrombolysis in myocardial infarction (TIMI) flow grades of 287 patients treated with primary PCI were assessed retrospectively. Patients were divided into 3 tertiles based upon preprocedural PLR. Pre- and postprocedural TIMI flow grades were evaluated. No reflow developed in 6, 14, and 43 patients in the lower, middle, and higher tertiles, respectively (P < .001). After multivariate analysis, PLR remained a significant predictor of no reflow together with neutrophil-lymphocyte ratio (NLR). A cutoff value of 160 for PLR and 5.9 for NLR predicted no reflow with sensitivities and specificities of 75% and 71% and 74% and 70%, respectively. In conclusion, high preprocedural PLR and NLR levels are significant and independent predictors of no reflow in patients undergoing primary PCI.

Objective:Platelets and inflammatory cells are vital elements of acute coronary syndromes (ACS). Recent studies have shown that the plateletto-lymphocyte ratio (PLR) is associated with several malignancies; however, there are not enough data in cardiovascular diseases. Therefore, the aim of this study was to explore the association between PLR and in-hospital mortality in patients with ACS.Methods:We retrospectively collected patients with ACS undergoing coronary angiography. Total and differential leukocyte counts were measured by an automated hematology analyzer.Results:This study is single-centered and observational. In total, 587 patients with a mean age of 61.8±13.1 years (68.4% male) were enrolled in the study. Patients were divided into 3 tertiles based on PLR levels. In-hospital mortality was significantly higher among patients in the upper PLR tertile when compared with the middle and lower PLR tertile groups [29 (14.8%) vs. 17 (8.7%) and 2 (1.0%); p<0.001]. In the multiple logistic regression analysis, a high level of PLR was an independent predictor of in-hospital mortality, together with age, total leukocyte count, and creatinine. Using a cutoff point of 142, the PLR predicted in-hospital mortality with a sensitivity of 69% and specificity of 63%.Conclusion:Different from other inflammatory markers and assays, PLR is an inexpensive and readily available biomarker that may be useful for cardiac risk stratification in patients with ACS.

Objective: The aim of this retrospective multicenter study was to investigate the clinical manifestations, microbiological profile, echocardiographic findings and management strategies of infective endocarditis (IE) in Turkey. Methods: The study population consisted of 248 Turkish patients with IE treated at 13 major hospitals in Turkey from 2005 to 2012 retrospectively. All hospitals are tertiary referral centers, which receive patients from surrounding hospitals. Data were collected from the medical files of all patients hospitalized with IE diagnosed according to modified Duke Criteria. Results: One hundred thirty seven of the patients were males. Native valves were involved in 158 patients while in 75 participants there was prosthetic valve endocarditis. Vegetations were detected in 223 patients (89%) and 52 patients had multiple vegetations. Mitral valve was the most common site of vegetation (43%). The most common valvular pathology was mitral regurgitation. The most common predisposing factor was rheumatic valvular disease (28%). Positive culture rate was 65%. Staphylococci were the most frequent causative microorganisms isolated (29%) followed by enterococci (11%). In-hospital mortality rate was 33%. Conclusions: Compared to IE in developed countries younger age, higher prevalence of rheumatic heart disease, more frequent enterococci infection and higher rates of culture negativity were other important aspects of IE epidemiology in Turkey. (

The aim of this study was to evaluate the relationship between hematologic indices and the Global Registry of Acute Coronary Events (GRACE) score in patients with ST-segment elevation myocardial infarction (STEMI). A total of 800 patients who consecutively and retrospectively presented with STEMI within 12 hours of symptom onset. After accounting for exclusion criteria, a total of 379 patients remained in the study. We enrolled 379 patients with STEMI (mean age 61.7 ± 13.6 years; men 73%). Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), red cell distribution width (RDW), and monocyte count were associated with increased worse GRACE risk score (P = .008, P = .012, P = .005, P = .022, respectively). In multivariate linear regression analysis, NLR, PLR, RDW, and monocyte count were found to be independent predictors of GRACE risk score. We demonstrate for the first time that PLR, RDW, and monocyte were associated with the GRACE score in patients with STEMI.

IntroductionThe thrombolysis in myocardial infarction (TIMI) risk score is calculated as the sum of independent predictors of mortality and ischemic events in ST elevation acute myocardial infarction (STEMI). Several studies show that the neutrophil to lymphocyte ratio (NLR) is a prognostic inflammatory marker. In preliminary studies, platelet to lymphocyte ratio (PLR) has been proposed as a pro-thrombotic marker. The relationship between NLR, PLR and TIMI risk score for STEMI has never been studied.AimTo evaluate the association between TIMI-STEMI risk score and NLR, PLR and other biochemical indices in STEMI.Material and methodsIn this retrospective study, we evaluated 390 patients who presented with STEMI within 12 h of symptom onset. Patients were grouped according to low and high TIMI risk scores.ResultsWe enrolled 390 patients (mean age 61.9 ±13.6 years; 73% were men). The NLR, platelet distribution width (PDW) and uric acid level (UA) were significantly associated with a high TIMI-STEMI risk score (p = 0.016, p = 0.008, p = 0.030, respectively), but PLR was not associated with a high TIMI-STEMI risk score. Left ventricular ejection fraction was an independent predictor of TIMI-STEMI risk score. A cut-off point of TIMI-STEMI score of > 4 predicted in-hospital mortality (sensitivity 75%, specificity 70%, p < 0.001). We found that NLR, PDW, and UA level were associated with TIMI-STEMI risk score.ConclusionsNeutrophil to lymphocyte ratio, PDW and UA level are convenient, inexpensive and reproducible biomarkers for STEMI prognosis before primary angioplasty when these indicators are combined with the TIMI-STEMI risk score. We believe that these significant findings can guide further clinical practice.

Objective:The neutrophil/lymphocyte ratio (NLR), the platelet/lymphocyte ratio (PLR), and uric acid (UA) are inflammatory markers in cardiovascular disease. However, there are not enough data on infarct-related artery (IRA) patency in ST-segment elevation myocardial infarction (STEMI). We aimed to investigate the association of NLR, PLR, and UA with IRA patency before percutaneous coronary intervention (PCI) in STEMI.Methods:The study was designed as a retrospective study. Three hundred and twenty-four consecutive patients with STEMI were divided into two groups according to pre-PCI Thrombolysis in Myocardial Infarction flow grade (TIMI). Patients with a TIMI flow grade of into the spontaneous reperfusion (SR) group, while patients with TIMI flow grade of 0, 1 and 2 were placed into the non-SR group. The x2 and independent-samples t-test, Mann-Whitney U test, multivariate logistic regression analysis, and receiver-operator characteristic (ROC) curve analysis were used for the statistical analysis.Results:PLR, NLR, and UA values in the SR group were lower than in the non-SR group (p<0.004, p<0.001, p<0.001, respectively). In the multivariate analysis, serum UA level and PLR were found to be independent predictors of pre-PCI IRA patency. In the ROC curve analysis, PLR >190, UA>5.75 mg/dL, and NLR>4.2 predicted non-SR. The sensitivity and specificity of the association between low IRA TIMI flow grade and PLR were 88% and 84%, 72% and 66% for UA, and 74% and 44% for NLR, respectively.Conclusion:We determined that PLR and UA are novel predictors of IRA patency before PCI. We suggest that PLR and UA may be used in risk-stratifying STEMI.

Background The effect of favipiravir on the QTc interval during the treatment of Coronavirus Disease 2019 (COVID-19) patients is unclear. Thus, the current study objective was to evaluate any change in the QTc interval in patients who were hospitalized due to COVID-19 receiving favipiravir treatment. Method Patients hospitalized with COVID-19 were assessed in this single-center retrospective study. 189 patients, whose diagnosis was confirmed using real-time PCR, were included in the study. The patients were divided into three groups: those using hydroxychloroquine (Group 1, n = 66), hydroxychloroquine plus favipiravir (Group 2, n = 66), and favipiravir only (Group 3, n = 57). The QTc interval was measured before treatment (QTc-B) and 48 h after (i.e., the median) starting treatment (QTc-AT). Results The median age was 53 (39–66 IQR) and 97 (51%) of patients were female. The median QTc(Bazett)-change was 7 ms ( p = 0.028) and 12 ms ( p < 0.001) and in Group 1 and 2, respectively. In Group 3, the median QTc(Bazett)-change was observed as −3 ms and was not statistically significant ( p = 0.247). In multivariable analysis, while there was a significant relationship between QTc-AT(Bazett) and hydroxychloroquine (β coefficient = 2687, 95%CI 2599–16,976, p = 0,008), there was no significant relationship with favipiravir (β coefficient = 0,180, 95% CI -6435-7724, p = 0,858). Similarly, there was a significant relationship between the QTc-AT interval calculated using the Fredericia formula and hydroxychloroquine (β coefficient = 2120, 95% CI 0,514–14,398, p = 0,035), but not with favipiravir (β coefficient = 0,111, 95% CI -6450- 7221, p = 0,911). Conclusion In the ECG recordings received in the following days after the treatment was started in COVID-19 patients, there was a significant prolongation in the QTc interval with hydroxychloroquine, but there was no significant change with favipiravir.