Kenan Toprak , Mustafa Kaplangöray , Mesut Karataş , Ayten Dursun , Yakup Arğa , Mustafa Begenc Tascanov , Asuman Biçer , Recep Demirbağ
{"title":"致动脉粥样硬化综合指数：验证冠状动脉疾病存在和严重程度的新型预测性血脂生物标记物","authors":"Kenan Toprak , Mustafa Kaplangöray , Mesut Karataş , Ayten Dursun , Yakup Arğa , Mustafa Begenc Tascanov , Asuman Biçer , Recep Demirbağ","doi":"10.1016/j.arcmed.2024.103065","DOIUrl":null,"url":null,"abstract":"<div><h3>Background/Aim</h3><p>The balance between atherogenic and antiatherogenic lipid particles significantly influences coronary artery disease (CAD), as an imbalance may contribute to the development and progression of atherosclerosis, which affects the risk and severity of CAD. This study aims to introduce and validate the atherogenic combined index (ACI) as a novel lipid biomarker that, comprehensively assesses the balance between atherogenic and antiatherogenic particles in the blood to effectively reflect the cumulative atherogenic effect and its association with the presence and severity of CAD.</p></div><div><h3>Material and Methods</h3><p>In this cross-sectional study, 1,830 patients diagnosed with CAD and a total of 650 patients without CAD were included in the study cohort for comprehensive analysis and comparison. Based on the tertiles of the SYNTAX score (SS), three subgroups of patients with CAD were identified. ACI and other atherogenic indices were compared to predict the presence and severity of CAD.</p></div><div><h3>Results</h3><p>The levels of ACI and other non-traditional lipid markers levels were higher in the CAD group compared to the non-CAD group (<em>p</em> <0.05, for all). ACI showed a good linear association with the SYNTAX score (<em>r</em> = 0.527; <em>p</em> <0.001). The multivariate logistic regression model showed that ACI was an independent predictor of the presence (OR: 1.602, 95% CI: 1.509–1.701, <em>p</em> <0.001) and severity (OR: 1.296, 95% CI: 1.243–1.351, <em>p</em> <0.001) of CAD after adjustment for various confounders.</p></div><div><h3>Conclusion</h3><p>The results suggest that ACI may serve as a promising and stronger tool for predicting the presence and severity of CAD.</p></div>","PeriodicalId":8318,"journal":{"name":"Archives of Medical Research","volume":"55 7","pages":"Article 103065"},"PeriodicalIF":4.7000,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Atherogenic Combined Index: Validation of a Novel Predictive Lipid Biomarker for the Presence and Severity of Coronary Artery Disease\",\"authors\":\"Kenan Toprak , Mustafa Kaplangöray , Mesut Karataş , Ayten Dursun , Yakup Arğa , Mustafa Begenc Tascanov , Asuman Biçer , Recep Demirbağ\",\"doi\":\"10.1016/j.arcmed.2024.103065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background/Aim</h3><p>The balance between atherogenic and antiatherogenic lipid particles significantly influences coronary artery disease (CAD), as an imbalance may contribute to the development and progression of atherosclerosis, which affects the risk and severity of CAD. This study aims to introduce and validate the atherogenic combined index (ACI) as a novel lipid biomarker that, comprehensively assesses the balance between atherogenic and antiatherogenic particles in the blood to effectively reflect the cumulative atherogenic effect and its association with the presence and severity of CAD.</p></div><div><h3>Material and Methods</h3><p>In this cross-sectional study, 1,830 patients diagnosed with CAD and a total of 650 patients without CAD were included in the study cohort for comprehensive analysis and comparison. Based on the tertiles of the SYNTAX score (SS), three subgroups of patients with CAD were identified. ACI and other atherogenic indices were compared to predict the presence and severity of CAD.</p></div><div><h3>Results</h3><p>The levels of ACI and other non-traditional lipid markers levels were higher in the CAD group compared to the non-CAD group (<em>p</em> <0.05, for all). ACI showed a good linear association with the SYNTAX score (<em>r</em> = 0.527; <em>p</em> <0.001). The multivariate logistic regression model showed that ACI was an independent predictor of the presence (OR: 1.602, 95% CI: 1.509–1.701, <em>p</em> <0.001) and severity (OR: 1.296, 95% CI: 1.243–1.351, <em>p</em> <0.001) of CAD after adjustment for various confounders.</p></div><div><h3>Conclusion</h3><p>The results suggest that ACI may serve as a promising and stronger tool for predicting the presence and severity of CAD.</p></div>\",\"PeriodicalId\":8318,\"journal\":{\"name\":\"Archives of Medical Research\",\"volume\":\"55 7\",\"pages\":\"Article 103065\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Medical Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0188440924001176\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Medical Research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0188440924001176","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Atherogenic Combined Index: Validation of a Novel Predictive Lipid Biomarker for the Presence and Severity of Coronary Artery Disease
Background/Aim
The balance between atherogenic and antiatherogenic lipid particles significantly influences coronary artery disease (CAD), as an imbalance may contribute to the development and progression of atherosclerosis, which affects the risk and severity of CAD. This study aims to introduce and validate the atherogenic combined index (ACI) as a novel lipid biomarker that, comprehensively assesses the balance between atherogenic and antiatherogenic particles in the blood to effectively reflect the cumulative atherogenic effect and its association with the presence and severity of CAD.
Material and Methods
In this cross-sectional study, 1,830 patients diagnosed with CAD and a total of 650 patients without CAD were included in the study cohort for comprehensive analysis and comparison. Based on the tertiles of the SYNTAX score (SS), three subgroups of patients with CAD were identified. ACI and other atherogenic indices were compared to predict the presence and severity of CAD.
Results
The levels of ACI and other non-traditional lipid markers levels were higher in the CAD group compared to the non-CAD group (p <0.05, for all). ACI showed a good linear association with the SYNTAX score (r = 0.527; p <0.001). The multivariate logistic regression model showed that ACI was an independent predictor of the presence (OR: 1.602, 95% CI: 1.509–1.701, p <0.001) and severity (OR: 1.296, 95% CI: 1.243–1.351, p <0.001) of CAD after adjustment for various confounders.
Conclusion
The results suggest that ACI may serve as a promising and stronger tool for predicting the presence and severity of CAD.
期刊介绍：
Archives of Medical Research serves as a platform for publishing original peer-reviewed medical research, aiming to bridge gaps created by medical specialization. The journal covers three main categories - biomedical, clinical, and epidemiological contributions, along with review articles and preliminary communications. With an international scope, it presents the study of diseases from diverse perspectives, offering the medical community original investigations ranging from molecular biology to clinical epidemiology in a single publication.
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