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预测COVID-19患者严重程度和死亡的实验室参数:未来大流行防范策略。

The laboratory parameters in predicting the severity and death of COVID-19 patients: Future pandemic readiness strategies.

作者信息

Alsayed Ahmad R, Ahmed Syed Imran, Al Shweiki Anas Osama, Al-Shajlawi Mustafa, Hakooz Nancy

机构信息

Department of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman, Jordan.

College of Health and Science, School of Pharmacy, University of Lincoln, Lincoln, United Kingdom.

出版信息

Biomol Biomed. 2024 Mar 11;24(2):238-255. doi: 10.17305/bb.2023.9540.

Abstract

The range of clinical manifestations associated with the infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encompasses a broad spectrum, ranging from flu-like symptoms to the occurrence of multiple organ failure and death. The severity of the coronavirus disease 2019 (COVID-19) is categorized based on clinical presentation and is divided into three distinct levels of severity identified as non-severe, severe, and critical. Although individuals of all age groups are susceptible to SARS-CoV-2 infection, middle-aged and older adults are more frequently impacted, with the latter being more likely to develop severe illness. Various laboratory characteristics observed in hospitalized COVID-19 patients have been correlated with adverse outcomes. These include elevated levels of D-dimer, liver enzymes, lactate dehydrogenase, C-reactive protein, ferritin, prothrombin time, and troponin, as well as decreased lymphocyte and platelets counts. This review investigated the relationship between baseline clinical characteristics, initial laboratory parameters upon hospital admission, and the severity of illness and mortality rates among COVID-19 patients. Although the COVID-19 pandemic has concluded, understanding the laboratory predictors of virus severity and mortality remains crucial, and examining these predictors can have long-term effects. Such insights can help healthcare systems manage resources more effectively and deliver timely and appropriate care by identifying and targeting high-risk individuals. This knowledge can also help us better prepare for future pandemics. By examining these predictors, we can take steps to protect public health and mitigate the impact of future pandemics.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染相关的临床表现范围广泛,从类似流感的症状到多器官功能衰竭和死亡的发生。2019冠状病毒病(COVID-19)的严重程度根据临床表现进行分类,分为非严重、严重和危重症三个不同的严重程度级别。虽然所有年龄组的个体都易感染SARS-CoV-2,但中年人和老年人受影响更为频繁,后者更易发展为重症。在住院的COVID-19患者中观察到的各种实验室特征与不良结局相关。这些特征包括D-二聚体、肝酶、乳酸脱氢酶、C反应蛋白、铁蛋白、凝血酶原时间和肌钙蛋白水平升高,以及淋巴细胞和血小板计数减少。本综述研究了COVID-19患者的基线临床特征、入院时的初始实验室参数与疾病严重程度和死亡率之间的关系。虽然COVID-19大流行已经结束,但了解病毒严重程度和死亡率的实验室预测指标仍然至关重要,研究这些预测指标可能会产生长期影响。这些见解可以帮助医疗系统更有效地管理资源,并通过识别和针对高危个体提供及时和适当的护理。这些知识还可以帮助我们更好地为未来的大流行做好准备。通过研究这些预测指标,我们可以采取措施保护公众健康并减轻未来大流行的影响。

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