{"title":"Prognostic value of the Scottish inflammatory prognostic score in ST-Segment elevation myocardial infarction.","authors":"Bektas Murat, Selda Murat, Fatih Aydin","doi":"10.1080/17520363.2026.2659655","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>The Scottish Inflammatory Prognostic Score (SIPS), has emerged as a simple inflammation-based biomarker; however, its prognostic value in ST-segment elevation myocardial infarction (STEMI) has not been well established. This study aimed to evaluate the prognostic utility of SIPS for predicting long-term major adverse cardiac events (MACE) in STEMI patients.</p><p><strong>Materials and methods: </strong>We included 829 STEMI patients between 2018 and 2024. SIPS was categorized as low (0 points), moderate (1 point), or high risk (2 points). The primary endpoint was time-to-first MACE, defined as a composite of all-cause mortality, non-fatal myocardial infarction, stroke, or cardiovascular hospitalization, using Cox proportional hazards models, competing risk analysis, and measures of incremental discrimination.</p><p><strong>Results: </strong>During follow-up, MACE occurred in 293 patients (35.3%), with a stepwise increase across SIPS categories (23%, 40%, and 63%; <i>p</i> < 0.001). SIPS independently predicted MACE in multivariable analysis (HR per point: 1.62, 95% CI 1.35-1.94; <i>p</i> < 0.001). Discriminative performance was moderate (AUC = 0.655). SIPS remained independently associated with MACE in hierarchical multivariable and competing risk analyses and provided incremental prognostic value beyond clinical predictors.</p><p><strong>Conclusion: </strong>SIPS is an independent predictor of long-term MACE in STEMI patients after PPCI and may serve as a simple and cost-effective tool for early risk stratification.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"275-284"},"PeriodicalIF":2.1000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17520363.2026.2659655","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/4/15 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Aims: The Scottish Inflammatory Prognostic Score (SIPS), has emerged as a simple inflammation-based biomarker; however, its prognostic value in ST-segment elevation myocardial infarction (STEMI) has not been well established. This study aimed to evaluate the prognostic utility of SIPS for predicting long-term major adverse cardiac events (MACE) in STEMI patients.
Materials and methods: We included 829 STEMI patients between 2018 and 2024. SIPS was categorized as low (0 points), moderate (1 point), or high risk (2 points). The primary endpoint was time-to-first MACE, defined as a composite of all-cause mortality, non-fatal myocardial infarction, stroke, or cardiovascular hospitalization, using Cox proportional hazards models, competing risk analysis, and measures of incremental discrimination.
Results: During follow-up, MACE occurred in 293 patients (35.3%), with a stepwise increase across SIPS categories (23%, 40%, and 63%; p < 0.001). SIPS independently predicted MACE in multivariable analysis (HR per point: 1.62, 95% CI 1.35-1.94; p < 0.001). Discriminative performance was moderate (AUC = 0.655). SIPS remained independently associated with MACE in hierarchical multivariable and competing risk analyses and provided incremental prognostic value beyond clinical predictors.
Conclusion: SIPS is an independent predictor of long-term MACE in STEMI patients after PPCI and may serve as a simple and cost-effective tool for early risk stratification.
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.