心脏骤停后的多组学生物标志物

IF 2.8 Q2 CRITICAL CARE MEDICINE Intensive Care Medicine Experimental Pub Date : 2024-09-27 DOI:10.1186/s40635-024-00675-y
Victoria Stopa, Gabriele Lileikyte, Anahita Bakochi, Prasoon Agarwal, Rasmus Beske, Pascal Stammet, Christian Hassager, Filip Årman, Niklas Nielsen, Yvan Devaux
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引用次数: 0

摘要

心脏骤停是指心脏功能突然停止,导致重要器官突然失去血流和氧气。这种危及生命的紧急情况需要立即进行医疗干预,并可能导致严重的神经损伤或死亡。目前已有预测神经系统结果的方法和生物标志物,但缺乏准确性。这种方法可以实现个性化医疗保健,并有助于临床决策。为确定心脏骤停的预后生物标志物,已经开展了大量研究。随着可将不同层次的 omics 数据结合起来的技术的出现,在人工智能和机器学习的帮助下,有可能将多组学特征用作心脏骤停后的预后生物标志物。这篇综述文章深入探讨了目前不同物组学领域中有关心脏骤停生物标志物的知识,并提出了未来的研究方向,旨在整合多个物组学数据层以改善预后预测和心脏骤停患者的护理。
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Multiomic biomarkers after cardiac arrest.

Cardiac arrest is a sudden cessation of heart function, leading to an abrupt loss of blood flow and oxygen to vital organs. This life-threatening emergency requires immediate medical intervention and can lead to severe neurological injury or death. Methods and biomarkers to predict neurological outcome are available but lack accuracy. Such methods would allow personalizing healthcare and help clinical decisions. Extensive research has been conducted to identify prognostic omic biomarkers of cardiac arrest. With the emergence of technologies allowing to combine different levels of omics data, and with the help of artificial intelligence and machine learning, there is a potential to use multiomic signatures as prognostic biomarkers after cardiac arrest. This review article delves into the current knowledge of cardiac arrest biomarkers across various omic fields and suggests directions for future research aiming to integrate multiple omics data layers to improve outcome prediction and cardiac arrest patient's care.

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来源期刊
Intensive Care Medicine Experimental
Intensive Care Medicine Experimental CRITICAL CARE MEDICINE-
CiteScore
5.10
自引率
2.90%
发文量
48
审稿时长
13 weeks
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