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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 χ2, P < .001) and better calibration. In conclusion, we found an association between NPS and in-hospital and follow-up outcomes in STEMI patients.

A 69-year-old male underwent implantation of a cardioverter-defibrillator with cardiac resynchronization therapy (CRT) for symptomatic ventricular tachyarrhythmia (VT) and severe left ventricular (LV) dysfunction with an ejection fraction (EF) of 30 % and dyssynchrony via a left subclavian venous access. Twenty days after the procedure, the patient complained of shortness of breath and was found to have a 30 % apical left pneumothorax on chest X-ray as a not unusual complication of the subclavian venous access. A computed axial tomography of the chest revealed pneumopericardium and associated pneumomediastinum as a complication of the CRT implantation and persisting microscopic pleuro-pericardial fistula as a consequence of previous coronary artery bypass graft surgery (CABG), accidentally diagnosed three years after the procedure. The pneumothorax and pneumopericardium were small and did not require chest tube placement. The patient was treated conservatively and his subsequent course was excellent.

Background Bariatric surgery has been associated with reduced cardiovascular mortality and morbidity in obese patients. In this study, we aimed to evaluate the alterations of novel P‐wave related atrial arrhythmia predictors in patients who achieved effective weight loss with bariatric surgery. Methods The study included 58 patients who underwent bariatric surgery. We measured heart rate, PR, P wave (PW) max, PW min, Average P axis, P wave peak time (PWPT) in lead D2 and lead V1, terminal force in lead V1 (V1TF), and we estimated P wave dispersion (PWdis) interval both pre‐operation and 6 months after operation. Results Heart rate, PR, PW max, PW min, PWdis, Average P axis, PWPTD2, PWPTV1 and V1TF values, which were close to the upper limit in the pre‐op period, showed statistically significant decreases at 6 months after the operation. The most prominent changes were observed in PW dis (51.15 ± 9.70 ms vs. 48.79 ± 9.50 ms, p = .010), PWPTD2 (55.75 ± 6.91 ms vs. 50.59 ± 7.67 ms, p < .001), PWPTV1 (54.10 ± 7.06 ms vs. 48.05 ± 7.64 ms, p < .001) and V1TF (25 [43.1%] vs. 12 [20.7%], p < .001). Conclusions The results of our study indicated that bariatric surgery has positive effects on the regression of ECG parameters which are predictors of atrial arrhythmias, particularly atrial fibrillation (AF).

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 observational study enrolled 298 consecutive individuals hospitalized for New York Heart Association class 3–4 HF. The primary outcome was all-cause mortality. Secondary outcomes were rehospitalization and in-hospital death. Results: The high NPS group had a statistically greater rate of all-cause mortality (p < 0.001). In Cox regression analysis, integrating NPS considerably improved the performance of the full model over the baseline model (adjusted hazard ratio = 2.28; p = 0.004). Based on time-dependent receiver operating characteristic curve analysis, the NPS model outperformed the baseline and CONUT score models in discriminatory power in predicting the probability of survival. Conclusion: NPS was associated with short- and midterm mortality as well as rehospitalization.

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.

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