Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery Disease
Aim. To reveal the statistically significant determinants of the coronary artery (CA) stenosis ≥70% in patients with chronic stable CA disease receiving drug therapy.Material and methods. The study included 68 patients (aged 59.6±6.4 years) with stable CA disease and optimal cardioactive therapy. Co...
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Столичная издательская компания
2020-03-01
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| Series: | Рациональная фармакотерапия в кардиологии |
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| Online Access: | https://www.rpcardio.online/jour/article/view/2108 |
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| author | O. A. Koshelskaya T. E. Suslova I. V. Kologrivova N. Y. Margolis O. A. Zhuravleva O. A. Kharitonova I. V. Vinnitskaya |
| author_facet | O. A. Koshelskaya T. E. Suslova I. V. Kologrivova N. Y. Margolis O. A. Zhuravleva O. A. Kharitonova I. V. Vinnitskaya |
| author_sort | O. A. Koshelskaya |
| collection | DOAJ |
| description | Aim. To reveal the statistically significant determinants of the coronary artery (CA) stenosis ≥70% in patients with chronic stable CA disease receiving drug therapy.Material and methods. The study included 68 patients (aged 59.6±6.4 years) with stable CA disease and optimal cardioactive therapy. Coronary angiography was performed in all patients. Basic serum parameters of carbohydrate and lipid metabolism were evaluated; serum concentration of cytokines, adipokines and high sensitive C-reactive protein (hsCRP) were determined by ELISA. The epicardial adipose tissue (EAT) thickness was measured by B-mode echocardiography.Results. The patients’ classification model was created. It allowed to determine probability P for CA stenosis of 70% or more for each patient using formula Р, where L=0.89-1.09×gender+ 0.51×triglycerides–0.28×HDL+0.24×hsCRP (HDL – high density lipoproteins). If calculated P value falls into interval (0; 0.228) the patient should be classified into the group with the risk of CA stenosis ≥70%, while if calculated P value falls into interval (0.228; 1), the patient should be classified into group with CA stenosis below 70%. Even though EAT thickness was indistinguishable determinant of CA stenosis ≥70% in our study, its inclusion into the model as a fifth variable allowed to increase the model quality: area under ROC-curve (AUC) in the model without EAT thickness constituted 0.708 (p=0.009), and increased up to 0.879 (p=0.011) after EAT thickness inclusion.Conclusions. Male sex, level of triglycerides, HDL and hsCRP are statistically significant determinants of CA stenosis ≥70%. The presence of the triglycerides level in the created model underscores an important contribution of this lipid fraction, even when elevated only up to the moderate values, into modulation of the residual cardiovascular risk in patients receiving statins. |
| format | Article |
| id | doaj-art-36b2f02d8ad14f819b5767d39cc22d4d |
| institution | Kabale University |
| issn | 1819-6446 2225-3653 |
| language | English |
| publishDate | 2020-03-01 |
| publisher | Столичная издательская компания |
| record_format | Article |
| series | Рациональная фармакотерапия в кардиологии |
| spelling | doaj-art-36b2f02d8ad14f819b5767d39cc22d4d2025-08-23T10:00:31ZengСтоличная издательская компанияРациональная фармакотерапия в кардиологии1819-64462225-36532020-03-011614910.20996/1819-6446-2020-01-011693Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery DiseaseO. A. Koshelskaya0T. E. Suslova1I. V. Kologrivova2N. Y. Margolis3O. A. Zhuravleva4O. A. Kharitonova5I. V. Vinnitskaya6Tomsk National Research Medical Center, Russian Academy of Science, Cardiology Research InstituteTomsk National Research Medical Center, Russian Academy of Science, Cardiology Research InstituteTomsk National Research Medical Center, Russian Academy of Science, Cardiology Research InstituteTomsk State UniversityTomsk National Research Medical Center, Russian Academy of Science, Cardiology Research InstituteTomsk National Research Medical Center, Russian Academy of Science, Cardiology Research InstituteTomsk National Research Medical Center, Russian Academy of Science, Cardiology Research InstituteAim. To reveal the statistically significant determinants of the coronary artery (CA) stenosis ≥70% in patients with chronic stable CA disease receiving drug therapy.Material and methods. The study included 68 patients (aged 59.6±6.4 years) with stable CA disease and optimal cardioactive therapy. Coronary angiography was performed in all patients. Basic serum parameters of carbohydrate and lipid metabolism were evaluated; serum concentration of cytokines, adipokines and high sensitive C-reactive protein (hsCRP) were determined by ELISA. The epicardial adipose tissue (EAT) thickness was measured by B-mode echocardiography.Results. The patients’ classification model was created. It allowed to determine probability P for CA stenosis of 70% or more for each patient using formula Р, where L=0.89-1.09×gender+ 0.51×triglycerides–0.28×HDL+0.24×hsCRP (HDL – high density lipoproteins). If calculated P value falls into interval (0; 0.228) the patient should be classified into the group with the risk of CA stenosis ≥70%, while if calculated P value falls into interval (0.228; 1), the patient should be classified into group with CA stenosis below 70%. Even though EAT thickness was indistinguishable determinant of CA stenosis ≥70% in our study, its inclusion into the model as a fifth variable allowed to increase the model quality: area under ROC-curve (AUC) in the model without EAT thickness constituted 0.708 (p=0.009), and increased up to 0.879 (p=0.011) after EAT thickness inclusion.Conclusions. Male sex, level of triglycerides, HDL and hsCRP are statistically significant determinants of CA stenosis ≥70%. The presence of the triglycerides level in the created model underscores an important contribution of this lipid fraction, even when elevated only up to the moderate values, into modulation of the residual cardiovascular risk in patients receiving statins.https://www.rpcardio.online/jour/article/view/2108coronary atherosclerosistriglyceridesfibrateshigh density lipoprotein cholesterolepicardial adipose tissue thickness |
| spellingShingle | O. A. Koshelskaya T. E. Suslova I. V. Kologrivova N. Y. Margolis O. A. Zhuravleva O. A. Kharitonova I. V. Vinnitskaya Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery Disease Рациональная фармакотерапия в кардиологии coronary atherosclerosis triglycerides fibrates high density lipoprotein cholesterol epicardial adipose tissue thickness |
| title | Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery Disease |
| title_full | Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery Disease |
| title_fullStr | Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery Disease |
| title_full_unstemmed | Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery Disease |
| title_short | Metabolic, Inflammatory and Imaging Biomarkers in Evaluation of Coronary Arteries Anatomical Stenosis in Patients with Stable Coronary Artery Disease |
| title_sort | metabolic inflammatory and imaging biomarkers in evaluation of coronary arteries anatomical stenosis in patients with stable coronary artery disease |
| topic | coronary atherosclerosis triglycerides fibrates high density lipoprotein cholesterol epicardial adipose tissue thickness |
| url | https://www.rpcardio.online/jour/article/view/2108 |
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