[Laboratory Aspects of Using the Results of NT-Probnp Concentration Immunochemical Determination in the Management of Patients With Heart Failure: Support For Clinical Decision-Making].

IF 0.5 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS Kardiologiya Pub Date : 2024-08-31 DOI:10.18087/cardio.2024.8.n2720
N G Vinogradova, V S Berestovskaya, Z N Blankova, T V Vavilova, N V Gomyranova, V P Masenko, V Yu Mareev, A A Skvortsov, N A Sorokina, S N Tereshchenko
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Abstract

The burden of heart failure (HF) has been increasing worldwide in recent decades. Early diagnosis of HF based on the outpatient measurement of natriuretic peptide (NP) concentration will allow timely initiation of the treatment and reducing the incidence of adverse outcomes in HF. Unfortunately, the frequency of NP testing remains low worldwide. At the online expert meeting held on March 15, 2024, the features of the N-terminal pro-brain natriuretic peptide (NT-proBNP) test (Elecsys proBNP by Roche) were discussed along with the interpretation of test results and presentation of results in laboratory reports. The experts addressed the features of the Elecsys proBNP test in patients with suspected HF in various clinical scenarios (chronic and acute HF). The limits of clinical decision for the NT-proBNP test were established depending on the clinical scenario. Changes in the Elecsys proBNP test results depending on the comorbidities were addressed. The experts suggested ways to optimize the format of the Elecsys proBNP test result reports in the Russian Federation, which will accelerate the implementation of the test in clinical practice and optimize the management of HF patients.

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[在心力衰竭患者管理中使用 NT-Probnp 浓度免疫化学测定结果的实验室方面:支持临床决策]。
近几十年来,全球心力衰竭(HF)的负担日益加重。根据门诊测量的钠尿肽(NP)浓度对心力衰竭进行早期诊断,可以及时开始治疗并降低心力衰竭不良后果的发生率。遗憾的是,全世界进行 NP 检测的频率仍然很低。在 2024 年 3 月 15 日举行的在线专家会议上,与会专家讨论了 N 端前脑钠尿肽(NT-proBNP)检测试剂盒(罗氏 Elecsys proBNP)的特点,以及检测结果的解释和实验室报告中结果的呈现。专家们讨论了 Elecsys proBNP 检测在各种临床情况(慢性和急性心房颤动)下用于疑似心房颤动患者的特点。根据不同的临床情况,确定了 NT-proBNP 检测的临床决策范围。讨论了 Elecsys proBNP 检测结果随合并症的变化。专家们提出了在俄罗斯联邦优化 Elecsys proBNP 检测结果报告格式的方法,这将加快该检测在临床实践中的应用,并优化对心房颤动患者的管理。
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来源期刊
Kardiologiya
Kardiologiya 医学-心血管系统
CiteScore
1.70
自引率
20.00%
发文量
94
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.
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