The association between HbA1c/C-peptide levels and short-term mortality in patients diagnosed with myocardial infarction.

IF 1.9 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Biomarkers in medicine Pub Date : 2024-08-17 Epub Date: 2024-08-05 DOI:10.1080/17520363.2024.2380248
Sefa Erdi Ömür, Emin Koyun, Gökhan Cabri, Çağri Zorlu
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引用次数: 0

Abstract

Introduction: In this study, we aimed to investigate the effect of HbA1C/C-peptide ratio on short-term mortality (this period is defined as 30 days after diagnosis) in the patients with myocardial infarction.Materials & Methods: Around 3245 patients who were admitted due to ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction underwent primary percutaneous coronary intervention between October 2020 and 2024 were included in this study.Results: In the receiver operating characteristic analysis, the predictive power of the HCR score for mortality in ST-elevation myocardial infarction patients was determined to be 83% sensitivity and 81% specificity. In non-ST-elevation myocardial infarction, this was determined to be 78% sensitivity and 75% specificity.Conclusion: The HbA1C/C-peptide ratio score can predict poor clinical outcomes early, reducing mortality and morbidity in patients with myocardial infarction.

确诊为心肌梗死患者的 HbA1c/C 肽水平与短期死亡率之间的关系。
简介本研究旨在探讨 HbA1C/C 肽比值对心肌梗死患者短期死亡率(诊断后 30 天)的影响。材料与方法:本研究纳入了 2020 年 10 月至 2024 年期间因 ST 段抬高型心肌梗死(STEMI)和非 ST 段抬高型心肌梗死而入院接受初次经皮冠状动脉介入治疗的约 3245 例患者。研究结果接受者操作特征分析显示,HCR评分对ST段抬高型心肌梗死患者死亡率的预测能力为83%的敏感性和81%的特异性。在非 ST 段抬高型心肌梗死患者中,灵敏度为 78%,特异度为 75%。结论HbA1C/C 肽比值评分可及早预测不良临床结果,降低心肌梗死患者的死亡率和发病率。
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来源期刊
Biomarkers in medicine
Biomarkers in medicine 医学-医学:研究与实验
CiteScore
3.80
自引率
4.50%
发文量
86
审稿时长
6-12 weeks
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.
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