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Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction

机译:循环生物标志物作为心肌梗死后左心室重塑的预测因子

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Introduction The main impact of myocardial infarction is shifting from acute mortality to adverse remodeling and chronic left ventricle dysfunction. Several circulating biomarkers are explored for better risk stratification of these patients. Biomarker testing is a?very attractive idea, since it is non-invasive, not operator-dependent and widely available. Aim: In the present paper we analyze data from the years 2005–2020 about circulating biomarkers of remodeling after myocardial infarction. Material and methods We assessed 53 articles, which examined 160 relations between biomarkers and remodeling. We analyze inclusion criteria for individual studies, time points of serum collection and remodeling assessment as well as imaging methods. Results The main groups of assessed biomarkers included B-type natriuretic peptides, markers of cardiomyocyte injury and necrosis, markers of inflammatory response, markers of extracellular matrix turnover, microRNAs and hormones. The most common method of remodeling assessment was echocardiography and the most frequent time point for remodeling evaluation was 6 months. Conclusions The present analysis shows that although a?relatively large number biomarkers were tested, selecting one ideal marker is still a?challenge. A?combination of biomarkers from different groups might be appropriate for predicting remodeling. Data presented in this analysis might be helpful for designing future studies, evaluating clinical use of an individual biomarker or a?combination of different biomarkers.
机译:引言心肌梗死的主要影响从急性死亡率转化为不利的重塑和慢性留气功能障碍。探索了几种循环生物标志物以更好地进行这些患者的风险分层。生物标志性测试是一个非常有吸引力的想法,因为它是非侵入性的,而不是操作员依赖和广泛的可用。目的:在本文中,我们分析了2005 - 2020年的数据关于心肌梗死后重塑的循环生物标志物。我们评估了53篇文章的材料和方法,其研究了160个生物标志物之间的关系和重塑。我们分析个体研究,血清收集时间点和重塑评估的时间点以及成像方法的纳入标准。结果评估生物标志物的主要组包括B型利钠肽,心肌细胞损伤标志物和坏死,炎症反应的标志物,细胞外基质周转的标志物,microRNA和荷尔蒙。重塑评估的最常见方法是超声心动图,重塑评价的最常见时间点为6个月。结论本分析表明,虽然测试了相对大的生物标志物,选择一个理想的标记仍然是一个?攻击。 a?来自不同组的生物标志物组合可能适用于预测重塑。本分析中提出的数据可能有助于设计未来的研究,评估单个生物标志物的临床使用或不同生物标志物的组合。

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