Selim Aydemir, Sidar Şiyar Aydın, Onur Altınkaya, Murat Özmen, Mustafa Özkoç, Emrah Aksakal
{"title":"急性冠脉综合征冠状动脉扩张预测因素的研究。","authors":"Selim Aydemir, Sidar Şiyar Aydın, Onur Altınkaya, Murat Özmen, Mustafa Özkoç, Emrah Aksakal","doi":"10.1080/17520363.2025.2523238","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>Coronary artery ectasia (CAE) is localized or generalized dilatation of the coronary artery lumen. CAE is difficult to diagnose, treat, and manage and is associated with the risk of adverse cardiovascular events. In our study, we aimed to evaluate and compare these predictive parameters of CAE.</p><p><strong>Materials & methods: </strong>We conducted a study that involved analyzing patients who had underwent angiography for acute coronary syndrome. The patients were categorized into two groups based on the presence or absence of CAE. The Cox regression analysis considered significant predictors for CAE while assessing independent variables. ROC Curve analysis was used to evaluate the predictive capability of these variables for CAE, and area under the curve (AUC) values were compared.</p><p><strong>Results: </strong>2279 patients included in the study were followed for an average of 498 days. Coronary ectasia was present in 5.35% of the patients. LDL/HDL ratio and lymphocyte count independently predicted CAE.</p><p><strong>Conclusion: </strong>In our study, low density lipoprotein/high density lipoprotein (LDL/HDL) ratio and lymphopenia were observed to independently predict CAE. LDL/HDL ratio obtained from standard blood tests can be used as a cost-effective and simple method to predict CAE, making a significant contribution to treatment planning, prognosis and patient follow-up.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"589-596"},"PeriodicalIF":1.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Examination of coronary artery ectasia predictors in acute coronary syndrome.\",\"authors\":\"Selim Aydemir, Sidar Şiyar Aydın, Onur Altınkaya, Murat Özmen, Mustafa Özkoç, Emrah Aksakal\",\"doi\":\"10.1080/17520363.2025.2523238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>Coronary artery ectasia (CAE) is localized or generalized dilatation of the coronary artery lumen. CAE is difficult to diagnose, treat, and manage and is associated with the risk of adverse cardiovascular events. In our study, we aimed to evaluate and compare these predictive parameters of CAE.</p><p><strong>Materials & methods: </strong>We conducted a study that involved analyzing patients who had underwent angiography for acute coronary syndrome. The patients were categorized into two groups based on the presence or absence of CAE. The Cox regression analysis considered significant predictors for CAE while assessing independent variables. ROC Curve analysis was used to evaluate the predictive capability of these variables for CAE, and area under the curve (AUC) values were compared.</p><p><strong>Results: </strong>2279 patients included in the study were followed for an average of 498 days. Coronary ectasia was present in 5.35% of the patients. LDL/HDL ratio and lymphocyte count independently predicted CAE.</p><p><strong>Conclusion: </strong>In our study, low density lipoprotein/high density lipoprotein (LDL/HDL) ratio and lymphopenia were observed to independently predict CAE. LDL/HDL ratio obtained from standard blood tests can be used as a cost-effective and simple method to predict CAE, making a significant contribution to treatment planning, prognosis and patient follow-up.</p>\",\"PeriodicalId\":9182,\"journal\":{\"name\":\"Biomarkers in medicine\",\"volume\":\" \",\"pages\":\"589-596\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-07-01\",\"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/10.1080/17520363.2025.2523238\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17520363.2025.2523238","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/22 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Examination of coronary artery ectasia predictors in acute coronary syndrome.
Aim: Coronary artery ectasia (CAE) is localized or generalized dilatation of the coronary artery lumen. CAE is difficult to diagnose, treat, and manage and is associated with the risk of adverse cardiovascular events. In our study, we aimed to evaluate and compare these predictive parameters of CAE.
Materials & methods: We conducted a study that involved analyzing patients who had underwent angiography for acute coronary syndrome. The patients were categorized into two groups based on the presence or absence of CAE. The Cox regression analysis considered significant predictors for CAE while assessing independent variables. ROC Curve analysis was used to evaluate the predictive capability of these variables for CAE, and area under the curve (AUC) values were compared.
Results: 2279 patients included in the study were followed for an average of 498 days. Coronary ectasia was present in 5.35% of the patients. LDL/HDL ratio and lymphocyte count independently predicted CAE.
Conclusion: In our study, low density lipoprotein/high density lipoprotein (LDL/HDL) ratio and lymphopenia were observed to independently predict CAE. LDL/HDL ratio obtained from standard blood tests can be used as a cost-effective and simple method to predict CAE, making a significant contribution to treatment planning, prognosis and patient follow-up.
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.