[The Possibilities of Predicting Left Ventricular Ejection Fraction 12 Months After ST-Segment Elevation Myocardial Infarction].

IF 0.5 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
A А Gurbanova, K G Pereverzeva, I E Tishkina
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引用次数: 0

Abstract

Aim    To identify predictors and develop a model for prognosis of left ventricular (LV) ejection fraction (EF) 12 months after ST-segment elevation myocardial infarction (STEMI) on electrocardiogram (ECG).Material and methods    This was a prospective registry study of patients admitted within 24 h of STEMI. Concentrations of soluble suppression of tumorigenicity 2, proprotein convertase subtilisin/kexin type 9, N-terminal pro-B-type natriuretic peptide (NTproBNP), high-sensitivity troponin I (TnI), and C-reactive protein were measured. LVEF was determined using the Simpson method at one, 10-12 days, and 12 months after STEMI. The study included 138 patients; after 12 months, LVEF was determined in 112 patients. The patients were divided into groups based on their LVEF: with preserved EF (pLVEF), LVEF ≥50% (n=51); moderately reduced EF (mrLVFE), LVEF 41-49% (n=40); and reduced EF (rLVEF), LVEF ≤40% (n=11).Results     A model for predicting LVEF 12 months after STEMI was constructed using the ordinal regression. The model sensitivity was 88.2% for predicting pLVEF, 71.8% for predicting mrLVEF, and 72.5% for predicting rLVEF. The model specificity was 59.1%. The factors determining LVEF in STEMI patients after 12 months included the formation of postinfarction LV aneurysm, LVEF on days 10-12 after STEMI, the magnitude in mm of ST segment elevation on the ECG upon admission, and the TnI concentration on the first day of STEMI.Conclusions    The obtained model for predicting LVEF 12 months after STEMI allows prognosing LVEF in all its ranges with a sensitivity of more than 70%.

st段抬高型心肌梗死后12个月左室射血分数预测的可能性。
目的探讨st段抬高型心肌梗死(STEMI)后12个月左室(LV)射血分数(EF)的预测因素并建立预后模型。材料和方法这是一项前瞻性登记研究,纳入STEMI患者24小时内入院。测定可溶性抑制致瘤性2、蛋白转化酶枯草杆菌素/ keexin 9型、n端前b型利钠肽(NTproBNP)、高敏肌钙蛋白I (TnI)和c反应蛋白的浓度。在STEMI后1、10-12天和12个月采用Simpson法测定LVEF。该研究包括138名患者;12个月后,测定112例患者的LVEF。根据患者的LVEF分为两组:保留EF (pLVEF), LVEF≥50% (n=51);中度降低EF (mrLVFE), LVEF 41-49% (n=40);EF (rLVEF)降低,LVEF≤40% (n=11)。结果采用有序回归方法建立STEMI术后12个月LVEF预测模型。预测pLVEF的敏感性为88.2%,预测mrLVEF的敏感性为71.8%,预测rLVEF的敏感性为72.5%。模型特异性为59.1%。STEMI患者12个月后LVEF的影响因素包括梗死后左室动脉瘤的形成、STEMI后10-12天的LVEF、入院时心电图ST段抬高幅度(mm)、STEMI第一天的TnI浓度。结论所获得的预测STEMI后12个月LVEF的模型可以在所有范围内预测LVEF,灵敏度超过70%。
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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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