Berhan Keskin, Aykun Hakgor, Fatih Erkam Olgun, Ahmet Berk Duman, Beytullah Cakal, Seda Tanyeri, Barkın Kultursay, Canan Elif Yildiz, Emir Dervis, Ibrahim Oguz Karaca, Bilal Boztosun
{"title":"Prognostic impact of Naples prognostic score on long-term mortality in non-ST-elevation myocardial infarction.","authors":"Berhan Keskin, Aykun Hakgor, Fatih Erkam Olgun, Ahmet Berk Duman, Beytullah Cakal, Seda Tanyeri, Barkın Kultursay, Canan Elif Yildiz, Emir Dervis, Ibrahim Oguz Karaca, Bilal Boztosun","doi":"10.1080/17520363.2025.2548759","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Naples Prognostic Score (NPS) is a composite index of inflammation and nutritional status. This study aimed to evaluate the prognostic value of NPS for long-term all-cause mortality in non-ST-elevation myocardial infarction (NSTEMI).</p><p><strong>Methods: </strong>In this study, 396 consecutive NSTEMI patients who underwent coronary angiography/percutaneous coronary intervention between 1 August 2023, and 31 July 2024, were included. Patients were stratified into low (NPS: 0-1), intermediate (NPS: 2), and high (NPS: 3-4) risk groups. Median follow-up was 433 days. Univariate logistic regression identified predictors of longterm mortality. These were then entered into LASSOpenalized logistic regression for variable selection. Multivariate Cox proportional hazards models assessed the independent predictors of long-term mortality, adjusting for SYNTAX score, hemoglobin, sodium, age, and left ventricular ejection fraction (LVEF).</p><p><strong>Results: </strong>High-risk NPS patients (<i>n</i> = 91) had higher long-term mortality (17.6%) compared with intermediate-risk (3.7%) and low-risk (3.5%) groups (<i>p</i> < 0.001). In the adjusted Cox model, high-risk NPS independently predicted long-term mortality (HR:3.79; 95% CI 1.55-9.27; <i>p</i> = 0.003), whereas neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) were not significant when substituted for NPS.</p><p><strong>Conclusion: </strong>In NSTEMI patients, NPS independently predicts long-term all-cause mortality beyond traditional risk markers and outperforms isolated inflammatory indices such as NLR and CRP.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"825-835"},"PeriodicalIF":2.1000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12481722/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17520363.2025.2548759","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/15 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The Naples Prognostic Score (NPS) is a composite index of inflammation and nutritional status. This study aimed to evaluate the prognostic value of NPS for long-term all-cause mortality in non-ST-elevation myocardial infarction (NSTEMI).
Methods: In this study, 396 consecutive NSTEMI patients who underwent coronary angiography/percutaneous coronary intervention between 1 August 2023, and 31 July 2024, were included. Patients were stratified into low (NPS: 0-1), intermediate (NPS: 2), and high (NPS: 3-4) risk groups. Median follow-up was 433 days. Univariate logistic regression identified predictors of longterm mortality. These were then entered into LASSOpenalized logistic regression for variable selection. Multivariate Cox proportional hazards models assessed the independent predictors of long-term mortality, adjusting for SYNTAX score, hemoglobin, sodium, age, and left ventricular ejection fraction (LVEF).
Results: High-risk NPS patients (n = 91) had higher long-term mortality (17.6%) compared with intermediate-risk (3.7%) and low-risk (3.5%) groups (p < 0.001). In the adjusted Cox model, high-risk NPS independently predicted long-term mortality (HR:3.79; 95% CI 1.55-9.27; p = 0.003), whereas neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) were not significant when substituted for NPS.
Conclusion: In NSTEMI patients, NPS independently predicts long-term all-cause mortality beyond traditional risk markers and outperforms isolated inflammatory indices such as NLR and CRP.
期刊介绍:
Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory.
Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice.
As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications.
Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest.
Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.