The Naples prognostic score (NPS) consists of cholesterol level, albumin concentration, lymphocyte-to-monocyte and neutrophil-to-lymphocyte ratios and reflects systemic inflammation, malnutrition, and survival for various conditions. We investigated the relationship of NPS at admission with in-hospital and follow-up outcomes among ST-segment elevation myocardial infarction (STEMI) patients. This retrospective study included 1887 consecutive patients diagnosed with STEMI and who underwent primary percutaneous coronary intervention between March 2020 and May 2022. The study population was divided by NPS into 2; low (0-1-2) and high (3-4). In-hospital adverse events and all-cause mortality rates during follow-up were extracted from the registry. The Median follow-up time was 15 months. The overall mortality rate was 14.6%. The proportions of in-hospital events that included acute respiratory failure, acute kidney injury, malignant arrhythmia, and mortality were significantly higher in the high NPS group than in the low NPS group. Compared with the baseline model, in the full model of Cox regression analysis; NPS was an independent predictor of all-cause mortality (adjusted hazard ratio (aHR): 2.49, 95%CI, 1.75-3.50, P < .001), with a significant improvement in model performance (likelihood ratio χ ² , P < .001) and better calibration. In conclusion, we found an association between NPS and in-hospital and follow-up outcomes in STEMI patients.

Aim: This work was designed to investigate the relationship between cardiac outcomes and Naples Prognostic Score (NPS) among heart failure (HF) patients. Materials & methods: This retrospective obs... Plain language summary Heart failure is a serious condition that affects millions of individuals around the world. This study was designed to investigate whether there is a relationship between Nap... Tweetable abstract This study reveals Naples Prognostic Score (NPS) as a strong predictor of mortality and rehospitalization in patients with advanced heart failure. NPS also outperforms other scor...

This study aimed to explore the potential association between the triglyceride–glucose index (TyG) and the atherogenic index of plasma (AIP)—both considered surrogate markers for atherosclerosis—and major adverse cardiovascular events (MACEs) in patients diagnosed with chronic coronary syndrome (CCS). We conducted a retrospective analysis, encompassing 715 consecutive patients with intermediate CCS risk, who presented at the outpatient clinic between June 2020 and August 2022. MACEs included non-fatal myocardial infarction, hospitalization for heart failure, cerebrovascular events, non-cardiac mortality, and cardiac mortality. The primary outcome was the composite occurrence of MACEs during the follow-up period. For time-to-event analysis of the primary outcome, we employed Kaplan–Meier plots and Cox proportional hazard models. The median age of the overall study population was 55 years, with a median follow-up duration of 17 months. Multivariate Cox regression analysis identified age, hypertension, Coronary Artery Disease–Reporting and Data System score, and TyG index as independent predictors of the primary outcome. Notably, individuals with high TyG levels exhibited a significantly higher primary outcome rate compared to those with low TyG levels (18.7% vs. 3.8%, p < 0.001). Similarly, patients with elevated TyG values demonstrated statistically higher rates of cerebrovascular events, hospitalizations for heart failure, non-fatal myocardial infarctions, non-cardiac mortality, and cardiac mortality. These findings suggest that TyG may serve as a predictive marker for adverse cardiovascular outcomes in patients with CCS.

This study compared the predictive power of the systemic immune-inflammation index (SII) and Naples prognostic score (NPS) in determining the severity of coronary artery disease (CAD). The study included 1138 patients who underwent coronary computed tomographic angiography (CCTA). The primary outcome was the evaluation of CAD severity, determined by the Coronary Artery Disease-Reporting and Data System (CAD-RADS) obtained from the CCTA scans. A basic statistical model including age, gender, chest pain, diabetes mellitus, hypertension, hyperlipidemia, and smoking was built, and categorical variables, NPS (Naples 3,4 vs 0,1,2) and SII, were added to the basic statistical model. The net benefits of the predictive parameters were determined by a decision curve analysis, and the association between CAD-RADS and NPS, SII was quantified by odds ratios (OR) and 95% confidence intervals (CI). The decision curve analysis showed that adding SII to the statistical model had a better full range of probability of clinical net benefit compared with the baseline model (OR: 5.77, 95% CI 4.15–8.02, P < .001). However, adding the NPS ( P = .11) to the model did not outperform the basic statistical model. In conclusion, the SII may have a net predictive effect on top of traditional risk factors.

Background Dual antiplatelet therapy (DAPT) is the treatment of choice for patients with acute and chronic coronary syndromes as it reduces mortality and prevents recurrent thrombotic complications. The assessment of both ischaemic burden and bleeding risk is crucial in deciding which DAPT to choose and how long it should be continued. Objectives The aim of our study was to perform prospective clinical follow-up of patients receiving fixed-dose combination therapy (ASA 75 mg + clopidogrel 75 mg). Our study is a multicentric, cross-sectional, observational, cohort study. Methods A total of 1500 patients who were started on fixed-dose combination DAPT for acute or chronic coronary syndrome were included in the study. Primary endpoints were hospitalization for any reason, hospitalization for cardiovascular cause, acute myocardial infarction, stent thrombosis, target vessel revascularization and bleeding; the secondary endpoints were death for any reason or cardiovascular cause and stroke. The significance level adopted in the statistical analysis was 5%. Results Median age was 63 years; 78.5% of the patients were receiving DAPT treatment for acute coronary syndrome. The rates of hospitalization for cardiovascular reasons, acute myocardial infartion, stent thrombosis and target-vessel revascularization were 7.9%, 2.3%, 1.3% and 4.2%, respectively. While the rate of BARC type 1 bleeding was 3.3%, the rate of BARC type 5, 3, or 2 bleeding was 0.6%. The secondary endpoints which were death from any cause, cardiovascular death and stroke were 0.5%, 0.3% and 0.3%, respectively. Conclusion: Our study shows that fixed-dose combination therapy is effective and safe in appropriately selected patients with acute or chronic coronary syndromes.