A A Garganeeva, E A Kuzheleva, O V Tukish, M Yu Kondratiev, K N Vitt, S L Andreev, O N Ogurkova
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引用次数: 0
Abstract
Aim: To study the prognostic significance of inflammatory biomarkers in patients with chronic heart failure (CHF) and stenotic multivessel coronary atherosclerosis, with determination of the biomarker separate set that reflects subclinical inflammation and is associated with the development of cardiovascular complications during prospective observation.
Material and methods: A prospective observational study was conducted that included 80 patients with CHF and ischemic heart disease who were scheduled for coronary artery bypass grafting (CABG) during their current hospitalization. In addition to routine clinical laboratory tests, coagulation parameters were evaluated and the following inflammatory biomarkers were determined: neutrophil gelatinase-associated lipocalin (NGAL), growth/differentiation factor 15 (GDF-15), fibroblast growth factor 23 (FGF-23), transforming growth factor beta-1 (TGF-β1), and high-sensitivity C-reactive protein. Also, the calculated neutrophil-to-lymphocyte ratio (N LR) was included in the analysis. Follow-up duration was at least 12 months (median 16 [13, 22] months). Statistical analysis of the data was performed with the IBM SPSS Statistics 21 software.
Results: The study presented results of a factor analysis of 10 inflammatory biomarkers in patients who were scheduled for CABG. One of the factors identified by the analysis included the levels of NGAL and GDF-15, N LR, and the level of fibrinogen in the blood in CHF patients with stenotic coronary atherosclerosis and was significantly associated with the death rate during prospective observation. Furthermore, this association remained significant even after adjustments for age, glomerular filtration rate, severity of heart and coronary insufficiency, and the presence of diabetes mellitus.
Conclusion: In patients with CHF and stenotic coronary atherosclerosis, a set of inflammatory markers, including blood NGAL, GDF-15, N LR, and fibrinogen, can be combined into one factor reflecting subclinical inflammation. The value of this factor can be used to predict cardiovascular death in the long term after surgical myocardial revascularization.
期刊介绍:
“Kardiologiya” (Cardiology) is a monthly scientific, peer-reviewed journal committed to both basic cardiovascular medicine and practical aspects of cardiology.
As the leader in its field, “Kardiologiya” provides original coverage of recent progress in cardiovascular medicine. We publish state-of-the-art articles integrating clinical and research activities in the fields of basic cardiovascular science and clinical cardiology, with a focus on emerging issues in cardiovascular disease. Our target audience spans a diversity of health care professionals and medical researchers working in cardiovascular medicine and related fields.
The principal language of the Journal is Russian, an additional language – English (title, authors’ information, abstract, keywords).
“Kardiologiya” is a peer-reviewed scientific journal. All articles are reviewed by scientists, who gained high international prestige in cardiovascular science and clinical cardiology. The Journal is currently cited and indexed in major Abstracting & Indexing databases: Web of Science, Medline and Scopus.
The Journal''s primary objectives
Contribute to raising the professional level of medical researchers, physicians and academic teachers.
Present the results of current research and clinical observations, explore the effectiveness of drug and non-drug treatments of heart disease, inform about new diagnostic techniques; discuss current trends and new advancements in clinical cardiology, contribute to continuing medical education, inform readers about results of Russian and international scientific forums;
Further improve the general quality of reviewing and editing of manuscripts submitted for publication;
Provide the widest possible dissemination of the published articles, among the global scientific community;
Extend distribution and indexing of scientific publications in major Abstracting & Indexing databases.