ArticleActa Cardiologica Sinica2025
Does the Naples Prognostic Score Predict Long-Term Mortality in Patients with Advanced-Stage Heart Failure?
Article in Acta Cardiologica Sinica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Early In-Hospital Functional Status Predicts Recovery at Discharge in Older Patients Hospitalized for Acute Decompensated Heart Failure.Circulation reports · 2026Article
- Review
- Malnutrition Evaluated by CONUT Score and Its Association With Acute Kidney Injury in Acute Myocardial Infarction Patients: A Retrospective Study.Cardiology research and practice · 2025Article
- Is left ventricular relative wall thickness a predictor of 5-year mortality in patients with acute decompensated heart failure?JRSM cardiovascular diseaseArticle
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6 authors.
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Abstract
Background: Inflammation and malnutrition have negative effects on heart failure. The Naples Prognostic Score (NPS) is a new scoring system that incorporates these two parameters. Objectives: Our aim was to investigate the relationship between the NPS and long-term mortality in patients with advanced-stage heart failure. Methods: The study included 148 patients with advanced-stage heart failure. The patients were divided into two groups: those who died, and those who survived. Demographic, clinical, and laboratory characteristics of the groups were compared. The impact of NPS on mortality was examined. Results: The patients were further classified into three groups according to NPS. The patients with NPS 3 had a higher mortality rate compared to those with NPS 1 and NPS 2 (died vs. survived respectively, NPS 3: 75% vs. 25%, NPS 1: 31.1% vs. 68.9%, NPS 2: 48.9% vs. 51.1%, p < 0.001). In multivariate regression analysis, NPS 3 was found to be an independent predictor [odds ratio: 0.13, 95% confidence interval (CI): 0.051-0.333; p = 0.0001]. Receiver operating characteristic analysis revealed that NPS had a sensitivity of 82% and specificity of 53% for mortality, with an area under curve of 0.699 (95% CI: 0.614-0.784, p = 0.0001). Kaplan-Meier survival analysis demonstrated a higher mortality rate in those with a high NPS (long-rank: 5.29, p = 0.021). In patients with advanced-stage heart failure, NPS may be considered a determinant of long-term mortality. Conclusions: This study demonstrated an association between NPS and long-term mortality in patients with advanced-stage heart failure. NPS, indicating inflammation and nutritional status, can be utilized as a long-term prognostic indicator in patients with advanced-stage heart failure.
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