The MAPH Score Predicts Coronary Slow Flow. A Retrospective Case-Controlled Study.

IF 0.5 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Mustafa Kaplangoray, Kenan Toprak, Cihan Aydın, Yusuf Cekici, Arafat Yıldırım, Ozge Ozcan Abacıoglu
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引用次数: 0

Abstract

Aim: The MAPH score is a new score that combines mean platelet volume (MPV), hematocrit, and total protein, which are markers of whole blood viscosity (WBV). We aimed to investigate the relationship between the MAPH score and the coronary slow flow phenomenon (CSF).

Material and methods: A total of 201 patients were included in the study. 105 had CSF and 96 had normal coronary flow (NCF). Coronary flow was measured by the Thrombolysis in Myocardial Infarction frame count (TFC) method. The patients' MPV, age, hematocrit, and total protein were recorded. High (HSR) and low shear rates (LSR) were calculated, based on total protein and hematocrit values. Cut-off values for CSF were determined using the Youden's index, and the score was determined as 0 or 1 according to the cut-off values. The sum of these scores was the MAPH score.

Results: The mean age of the patients included in the study was 51.1±7.9 (n=201, 54.2 % male). Hyperlipidemia, DM, and HT rates of both groups were similar, but the mean age of the CSF group was higher (p=0.773; p=0.549; p=0.848; p <0.001, respectively). Total protein, MPV, hematocrit, HSR and LSR were higher in the CSF group (p< 0.001, for all values). Comparative receiver operating characteristic (ROC) curve analysis showed that the performance of the MAPH score in predicting CSF is better than the performance of these parameters separately.

Conclusion: A new score, the MAPH score, may be used to identify the presence of CSF.

MAPH 评分可预测冠状动脉慢血流。一项回顾性病例对照研究。
目的:MAPH评分是一种新的评分方法,它结合了平均血小板体积(MPV)、血细胞比容和总蛋白等全血粘度(WBV)指标。我们旨在研究 MAPH 评分与冠状动脉慢流现象(CSF)之间的关系:研究共纳入 201 名患者。105例患者有CSF,96例患者冠脉血流正常(NCF)。冠状动脉血流采用心肌梗死溶栓帧计数法(TFC)进行测量。记录了患者的 MPV、年龄、血细胞比容和总蛋白。根据总蛋白和血细胞比容值计算出高剪切率(HSR)和低剪切率(LSR)。使用尤登指数确定 CSF 的临界值,并根据临界值将分数确定为 0 或 1。这些分数的总和即为 MAPH 分数:研究对象的平均年龄为 51.1±7.9(n=201,54.2% 为男性)。两组患者的高脂血症、糖尿病和高血压发病率相似,但 CSF 组的平均年龄更高(分别为 p=0.773;p=0.549;p=0.848;p <0.001)。CSF 组的总蛋白、MPV、血细胞比容、HSR 和 LSR 均较高(所有值均为 p<0.001)。接收器操作特征曲线(ROC)比较分析表明,MAPH 评分预测 CSF 的性能优于单独预测这些参数的性能:结论:一种新的评分方法--MAPH 评分可用于识别 CSF 的存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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