Impact of Naples Prognostic Score on midterm all-cause mortality in patients with decompensated heart failure

Plain language summaryHeart 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 Naples Prognostic Score (NPS) and worse outcomes in heart failure patients. A total of 298 patients with advanced heart failure were included in the study. Patients with a high NPS are more likely to pass away and need to be readmitted to the hospital. NPS also predicted survival more accurately than some other variables at an average of 15 months follow-up. In conclusion, NPS was found to be useful in predicting short- and medium-term mortality and readmissions in patients with advanced heart failure. 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. Tweetable abstractThis study reveals Naples Prognostic Score (NPS) as a strong predictor of mortality and rehospitalization in patients with advanced heart failure. NPS also outperforms other scoring systems in predicting survival probability.