Resumo Fundamento: A isquemia com artéria coronária não obstrutiva (INOCA) é uma doença cardíaca isquêmica que inclui principalmente disfunção microvascular coronariana e/ou vasoespasmo coronariano epicárdico devido à disfunção vascular coronariana subjacente e pode ser observada mais comumente em pacientes do sexo feminino. O índice de inflamação imunológica sistêmica (SII, relação plaquetas × neutrófilos/linfócitos) é um novo marcador que prediz resultados clínicos adversos na doença arterial coronariana (DAC). Objetivo: Este estudo tem como objetivo investigar a relação entre INOCA e SII, [...] Resumo Fundamento: A isquemia com artéria coronária não obstrutiva (INOCA) é uma doença cardíaca isquêmica que inclui principalmente disfunção microvascular coronariana e/ou vasoespasmo coronariano epicárdico devido à disfunção vascular coronariana subjacente e pode ser observada mais comumente em pacientes do sexo feminino. O índice de inflamação imunológica sistêmica (SII, relação plaquetas × neutrófilos/linfócitos) é um novo marcador que prediz resultados clínicos adversos na doença arterial coronariana (DAC). Objetivo: Este estudo tem como objetivo investigar a relação entre INOCA e SII,

Systemic immune-inflammatory index (platelet count × neutrophil-lymphocyte ratio) is a new marker that predicts adverse clinical outcomes in coronary artery diseases. Our aim was to investigate the relationship between the systemic immune-inflammatory index and residual SYNTAX score in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention. In this retrospective study, 518 consecutive patients who underwent primary percutaneous coronary intervention (PCI) with the diagnosis of ST-segment elevation myocardial infarction were analyzed. The severity of coronary artery diseases was determined by residual SYNTAX score. In the receiver operating characteristic curve analysis, systemic immune-inflammatory index with an optimal threshold value of 1025.1 could detect the presence of a high residual SYNTAX score; the patients were divided into 2 groups as low (326) and high (192) according to the threshold value. In addition, binary multiple logistic regression analysis methods were used to evaluate independent predictors of high residual SYNTAX score. In binary multiple logistic regression analysis, systemic immune-inflammatory index [odds ratio = 6.910; 95% CI = 4.203-11.360; P <.001] was an independent predictor of high residual SYNTAX score. In addition, there was a positive correlation between the systemic immune-inflammatory index and residual SYNTAX score (r = 0.350, P <.001). In the receiver operating characteristic curve analysis, the systemic immune-inflammatory index with an optimal threshold value of 1025.1 could detect the presence of a high residual SYNTAX score with 73.8% sensitivity and 72.3% specificity. Systemic immune-inflammatory index, an inexpensive and easily measurable laboratory variable, was an independent predictor of the increased residual SYNTAX score in patients with ST-segment elevation myocardial infarction.

Infective Endocarditis (IE) is a severe and potentially life-threatening infection of the heart valves, necessitating a comprehensive understanding of factors influencing patient outcomes. The study aims to investigate the relationship between NPS and in-hospital mortality in patients diagnosed with Infective Endocarditis (IE). A total of 153 IE patients were included in the study, with 32 (20,9%) experiencing in-hospital mortality. Patients were categorised into survivors and non-survivors, and detailed clinical and demographic characteristics were recorded. The final endpoint of the study was determined as in-hospital mortality. Regression analyses were conducted to identify the independent variables, and Kaplan-Meier estimates were created to determine survival outcomes, using a significance level of p < 0.05 for all statistical analyses. The non-survivor group exhibited a significantly higher NPS compared to the survivor group (28 (87.5) vs. 56 (46.3); p < 0.001). ROC curve analysis, utilising NPS, the neutrophil-to-lymphocyte ratio (NLR), the lymphocyte-to-monocyte ratio (LMR), albumin, and total cholesterol values, identified NPS as the most robust parameter, with an area under the curve of 0.704 (95% CI: 0.612-0.797; p < 0.001). Multivariate regression analysis revealed Septic shock (p = 0.001), NPS (p = 0.004), and Age (p = 0.012) as independent determinants of in-hospital mortality in IE patients. This study demonstrated a strong correlation between NPS and mortality in IE. This novel score, as it reflects both the level of inflammation and nutrition, can be used to predict the prognosis in IE.

Essential hypertension,fragmented QRS,major adverse cardiovascular and cerebrovascular events,mortality

Background A recently identified viral illness called coronavirus disease 2019 (COVID-19) is spreading quickly. Numerous cardiovascular issues such as arrhythmias and electrocardiogram (ECG) alterations have been linked to COVID-19. Objective In this investigation, we compared ECG indicators of depolarization and repolarization heterogeneity between symptomatic individuals who complained of palpitations and chest discomfort following COVID-19 and those who did not. Methods In this prospective case-control study, 56 post-COVID-19 patients who did not have any symptoms of chest discomfort or palpitations [...] Abstract Background A recently identified viral illness called coronavirus disease 2019 (COVID-19) is spreading quickly. Numerous cardiovascular issues such as arrhythmias and electrocardiogram (ECG) alterations have been linked to COVID-19. Objective In this investigation, we compared ECG indicators of depolarization and repolarization heterogeneity between symptomatic individuals who complained of palpitations and chest discomfort following COVID-19 and those who did not. Methods In this prospective case-control study, 56 post-COVID-19 patients who did not have any symptoms of chest discomfort or palpitations

Introduction: The most basic and well-known cause of peripheral arterial disease (PAD) is atherosclerosis. One of the main factors causing atherosclerosis is dyslipidemia. We will evaluate whether specific ratios of dyslipidemia, such as the atherogenic plasma index (AIP) and LDL/HDL ratio, which have recently been used in practice, can help us to predict the complexity of PAD in the clinic. Methods: A total of 305 patients with PAD admitted to our clinic were retrospectively included in this study. After evaluation according to angiography images using TASC-II classification, patients were divided into TASC A-B and TASC C-D. AIP was evaluated with the following formula: Log (TG/HDL). Cut-off values for AIP and LDL/HDL were determined on the ROC (receiver operating characteristic) curve. Logistic regression analysis were conducted to predict peripheral arterial disease complexity. Results: The mean ages of Group 1 ( n :180, 68.3% male) and Group 2 ( n :125, 77.6% male) patients were 64.10 ± 12.39 and 64.94 ± 11.12 years, respectively. The prevalence of diabetes mellitus (DM, p < 0.016) and coronary artery disease (CAD, p < 0.001) was higher in group 2. Group 2 had higher TG ( p = 0.045), LDL-C ( p = 0.004), AIP ( p = 0.010), LDL/HDL ( p < 0.001), and lower HDL-C ( p = 0.015). In multivariate logistic regression analysis evaluating parameters in predicting PAD complexity, DM (OR: 1.66 Cl 95%: 1.01–2.73 p = 0.045), CAD (OR: 2.86 Cl 95%: 1.75–4.69 p < 0.001) and LDL/HDL (OR: 1.47 Cl 95%: 1.10–1.96 p = 0.008) were independent variables. Conclusion: In our study, we compared LDL/HDL ratio and AIP in PAD for the first time in the literature and showed that LDL/HDL ratio is a more valuable ratio and an independent predictor of PAD complexity.