Prognostic Role of Myocardial Flow Reserve in Heart Failure With Preserved Ejection Fraction.

IF 0.5 4区医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS

Kardiologiya Pub Date : 2023-12-26 DOI:10.18087/cardio.2023.12.n2355

K V Kopeva

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Abstract

Aim To study the role of myocardial blood flow (MBF) and myocardial flow reserve (MFR) in patients with heart failure with preserved ejection fraction (HFpEF) in stratifying the risk of HFpEF progression during 12 months of follow-up.Material and methods The study included 58 patients with non-obstructive coronary artery disease and HFpEF. Concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP) were measured using an enzyme-linked immunosorbent assay. MFR and MBF were determined by dynamic single-photon emission computed tomography of the myocardium.Results At 12 months, the patients were divided into two groups: group 1 (n=11) included patients with an unfavorable course of HFpEF, group 2 (n=47) included patients with a favorable course. A multivariate analysis showed that NT-proBNP concentrations (odds ratio (OR), 3.23; 95% confidence interval (CI), 1.76-6.78; p=0.008) and MFR (OR, 8.09; 95% CI, 5.12-19.98; p<0.001) were independent predictors of adverse outcomes. According to ROC analysis, values of MFR ≤1.62 (area under the curve (AUC)=0.827; p<0.001) and NT-proBNP ≥760.5 pg/ml (AUC=0.708; p=0.040) can be considered as markers for HFpEF progression. Furthermore, the combined measurement of NT-proBNP concentration and MFR had a higher prognostic significance (AUC, 0.954; p<0.001).Conclusion Values of NT-proBNP and MFR can be used as noninvasive markers for an unfavorable course of HFpEF, and their combined measurement increases the prognostic significance.

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射血分数保留型心力衰竭患者心肌血流储备的预后作用

目的研究射血分数保留型心力衰竭（HFpEF）患者的心肌血流（MBF）和心肌血流储备（MFR）在随访 12 个月期间对 HFpEF 进展风险进行分层的作用。采用酶联免疫吸附法测定 N 端前脑钠尿肽（NT-proBNP）的浓度。结果 12 个月后，患者被分为两组：第一组（11 人）包括 HFpEF 病程不利的患者，第二组（47 人）包括病程有利的患者。多变量分析显示，NT-proBNP 浓度（几率比（OR），3.23；95% 置信区间（CI），1.76-6.78；P=0.008）和 MFR（OR，8.09；95% CI，5.12-19.98；P<0.001）是不良预后的独立预测因素。根据ROC分析，MFR值≤1.62（曲线下面积（AUC）=0.827；p<0.001）和NT-proBNP≥760.5 pg/ml（AUC=0.708；p=0.040）可视为HFpEF进展的标志物。此外，NT-proBNP 浓度和 MFR 的联合测量具有更高的预后意义（AUC，0.954；p<0.001）。

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来源期刊

Kardiologiya 医学-心血管系统

CiteScore

1.70

自引率

20.00%

发文量

审稿时长

3-8 weeks

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.