Aim The Naples prognostic score (NPS) simultaneously evaluates inflammation and malnutrition, which are two main factors that play a role in the pathophysiology and prognosis of heart failure (HF). In this study, we aimed to examine the relationship of NPS with in-hospital mortality of hospitalized patients with a diagnosis of HF. Material and Methods   A total of 496 hospitalized HF patients included in this study. The patients were divided into two groups as deceased and living. The clinical and demographic characteristics of each patient were recorded. NPS of each patient was calculated. Results   NPS was significantly higher in the deceased group compared to the living group (3.6±0.61, 3.21±0.97, respectively; p=0.003). According to multivariate regression analysis: NPS (OR: 1.546, 95 % CI: 1.027–2.327; p=0.037), systolic blood pressure (OR: 0.976, 95 % CI: 0.957–0.995; p=0.015), and white blood cell count (OR: 1.072, 95 % CI: 1.007–1142; p=0.03) are independent predictors for in-hospital mortality in HF patients. Conclusion This study demonstrated a strong correlation between NPS and mortality in HF. This new score can be used to predict the prognosis of HF as it shows both the level of inflammation and nutrition.

Introduction: There are few data on permanent pacemaker implantation (PPMI) in patients who have undergone transcatheter aortic valve implantation (TAVI) for bicuspid aortic valve (BAV) stenosis. Aim: The purpose of this study was to evaluate the predictors and incidence of PPMI in bicuspid...

Background Acute coronary syndrome (ACS) is the most common subtype of coronary artery disease (CAD). It is one of the main reasons affecting the expected life expectancy and quality of life. Objetives In this study, we aimed to investigate the relationship between major adverse cardiac events (MACE) and Hemoglobin (Hb)/Red cell distribution width (RDW) in long-term follow-up after ACS. Methods A total of 1,146 ACS patients were included in the study, being classified according to the type of myocordial [...] Abstract Background Acute coronary syndrome (ACS) is the most common subtype of coronary artery disease (CAD). It is one of the main reasons affecting the expected life expectancy and quality of life. Objetives In this study, we aimed to investigate the relationship between major adverse cardiac events (MACE) and Hemoglobin (Hb)/Red cell distribution width (RDW) in long-term follow-up after ACS. Methods A total of 1,146 ACS patients were included in the study, being classified according to the type of myocordial

Objectives: Early identification of myocardial ischemia is critical for the management of patients with stable angina pectoris (SAP). The Naples Prognostic Score (NPS) and the Systemic Immune-Inflammation (SII) index are emerging biomarkers that may improve risk stratification prior to myocardial perfusion scintigraphy (MPS) Methods: We retrospectively analyzed 615 patients with SAP who underwent MPS to assess the predictive value of the NPS and SII index for myocardial ischemia. Clinical, laboratory, and imaging data were collected. The associations between the NPS, SII, and ischemia detected on MPS were evaluated through univariate and multivariate logistic regression analyses. Results: A higher NPS was strongly associated with the presence of myocardial ischemia (p < 0.001). Male sex, elevated SII, and increased C-reactive protein (CRP) and neutrophile-to-lymphocyte ratio (NLR) values were also significantly related to ischemia. In multivariate analysis, NPS (p < 0.001), SII (p = 0.023), CRP (0.005), and NLR (0.037) values remained independent predictors of ischemia. Albumin levels were significant in univariate analysis but lost independent significance after adjustment. The incorporation of the NPS and SII index provided additional value in identifying patients at high risk of ischemia. Conclusions: The NPS and the SII index are inexpensive, very simple, non-invasive, and valuable markers of myocardial ischemia in patients with SAP. Their integration into clinical practice may enhance risk stratification and optimize diagnostic pathways, minimizing unnecessary invasive procedures.

Objectives: This study aimed to investigate the relationship between the anticoagulation and risk factors in atrial fibrillation (ATRIA) score and initial stroke severity in patients with acute ischemic stroke of varying etiologies, including atrial fibrillation (AF), large-artery atherosclerosis, and undetermined origin. Methods: In this prospective observational study, 416 patients admitted with acute ischemic stroke between June 2022 and December 2024 were analyzed. Stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS), and patients were categorized into two groups: mild-to-moderate (NIHSS ≤ 15) and moderate-to-severe/severe (NIHSS > 15). Pre-admission ATRIA scores were calculated based on demographic and clinical parameters. Multivariable logistic regression was performed to assess the association between ATRIA scores and stroke severity. Results: Patients with more severe strokes had significantly higher ATRIA scores (median 8.5 vs. 5.0, p < 0.001). AF was more frequent in the severe group (44.8% vs. 31.3%, p = 0.037). In multivariable analysis, each one-point increase in the ATRIA score was independently associated with a 1.82-fold increase in the odds of severe stroke (OR 1.823, 95% CI 1.568–2.119, p < 0.001). High ATRIA scores (>6) were associated with an 11.7-fold increased risk of severe stroke (OR 11.692, 95% CI 5.636–24.255, p < 0.001), independent of stroke etiology, ejection fraction, and inflammatory markers. Conclusions: The ATRIA score is independently associated with initial stroke severity across diverse ischemic stroke etiologies. It may serve as a simple, practical tool for early risk stratification in the acute setting, regardless of AF status. Further studies are warranted to confirm its utility in guiding early management and prognosis.

Objectives: Systemic inflammation, malnutrition, and immune dysregulation have emerged as important determinants of long-term outcomes after transcatheter aortic valve implantation (TAVI). The C-reactive protein–albumin–lymphocyte (CALLY) index is a novel immunonutritional biomarker that integrates these pathophysiological domains; however, its prognostic value in TAVI patients has not yet been investigated. This study aimed to evaluate the association between the CALLY index and 1-year mortality after TAVI. Methods: This retrospective observational study included 532 consecutive patients who underwent TAVI at a tertiary-care center between 2014 and 2023. Baseline laboratory parameters were obtained before the procedure, and the CALLY index was calculated as (albumin × lymphocyte count)/(C-reactive protein × 10). The primary endpoint was 1-year mortality. Receiver operating characteristic (ROC) curve analysis was performed to assess the discriminative ability of the CALLY index and conventional surgical risk scores. Multivariable regression analyses were used to identify independent predictors of mortality. Results: During the 1-year follow-up period, 85 patients (15.9%) died. Patients who died had significantly lower baseline CALLY index values compared to survivors (p < 0.001). The CALLY index demonstrated good discriminative performance for 1-year mortality (AUC: 0.797), outperforming EuroSCORE II (AUC: 0.705) and the Society of Thoracic Surgeons (STS) score (AUC: 0.619). A CALLY cut-off value of 0.45, derived using Youden’s index, was associated with a more than threefold increased risk of mortality. In multivariable analysis, the CALLY index remained independently associated with 1-year mortality, along with EuroSCORE II and more than mild mitral regurgitation. Conclusions: The CALLY index is a strong and independent predictor of 1-year mortality after TAVI and provides incremental prognostic value beyond conventional surgical risk scores. Given its simplicity and reliance on routinely available laboratory parameters, the CALLY index may serve as a practical tool for long-term risk stratification in patients undergoing TAVI.