{"title":"The monocyte-to-HDL-cholesterol ratio predicts new-onset atrial fibrillation in patients with acute STEMI.","authors":"Veysel Ozan Tanık, Çağatay Tunca, Kamuran Kalkan, Ahmet Kivrak, Bülent Özlek","doi":"10.1080/17520363.2025.2459590","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Newly diagnosed AF (NOAF) associated with acute STEMI holds significant relevance in clinical practice. This study seeks to assess the role of the monocyte to HDL-C ratio (MHR) in predicting NOAF in these patients.</p><p><strong>Methods: </strong>Between July 2017 and May 2018, 663 patients who underwent primary PCI for STEMI were retrospectively analyzed. NOAF was identified in 34 patients (5.1%), and this group was compared with those without AF.</p><p><strong>Results: </strong>The NOAF group experienced a longer hospitalization duration and a higher mortality rate (11.8 vs. 4.3%, <i>p</i> = 0.044) compared to the non-AF group. In a multivariable analysis, increased MHR (OR: 1.413, 95% CI: 1.203-1.657, <i>p</i> = 0.005), advanced age, decreased LVEF, Killip class 2-4, diabetes mellitus, hypertension, and left atrial enlargement emerged as independent predictors for the development of NOAF in STEMI. ROC curve analysis revealed that MHR values exceeding 26.54 strongly predict NOAF, achieving sensitivity and specificity above 70% (AUC: 0.768, 95%CI: 0.734-0.801, <i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>The present study revealed that increased MHR robust indicator for NOAF in STEMI patients and can be easily assessed in clinical practice. Incorporating MHR alongside established traditional risk factors may enhance the identification of patients at risk for AF in those with STEMI.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"121-128"},"PeriodicalIF":1.9000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11834425/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17520363.2025.2459590","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Newly diagnosed AF (NOAF) associated with acute STEMI holds significant relevance in clinical practice. This study seeks to assess the role of the monocyte to HDL-C ratio (MHR) in predicting NOAF in these patients.
Methods: Between July 2017 and May 2018, 663 patients who underwent primary PCI for STEMI were retrospectively analyzed. NOAF was identified in 34 patients (5.1%), and this group was compared with those without AF.
Results: The NOAF group experienced a longer hospitalization duration and a higher mortality rate (11.8 vs. 4.3%, p = 0.044) compared to the non-AF group. In a multivariable analysis, increased MHR (OR: 1.413, 95% CI: 1.203-1.657, p = 0.005), advanced age, decreased LVEF, Killip class 2-4, diabetes mellitus, hypertension, and left atrial enlargement emerged as independent predictors for the development of NOAF in STEMI. ROC curve analysis revealed that MHR values exceeding 26.54 strongly predict NOAF, achieving sensitivity and specificity above 70% (AUC: 0.768, 95%CI: 0.734-0.801, p < 0.001).
Conclusion: The present study revealed that increased MHR robust indicator for NOAF in STEMI patients and can be easily assessed in clinical practice. Incorporating MHR alongside established traditional risk factors may enhance the identification of patients at risk for AF in those with STEMI.
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.