COVID-19患者的实验室检查结果和早期评估严重程度和死亡率的生物标志物

Asbah Shams, Madhu Sinha, Abhijit Das, N. Gulati, R. Sahu, M. Mehndiratta, Chandra Shekhar
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引用次数: 1

摘要

新型冠状病毒-19(严重急性呼吸综合征冠状病毒-2)大流行已造成全球超过4006257例病例,死亡278892例,印度67152例,死亡2206例。这种疾病的临床病程从轻微到严重不等。虽然大多数患者是无症状的,但一些有合并症的患者有很高的临床恶化和死亡率的倾向,这是我们需要恢复的这一部分患者。研究表明,一些容易获得且价格低廉的实验室参数可以在早期阶段充分预测疾病的严重程度。在印度这样一个资源有限的国家,不能像这次大流行那样常规地进行昂贵的调查,因此必须用本综述中阐明的这些简单而廉价的参数对患者进行监测。我们在PubMed和Google Scholar上以关键词“COVID-19实验室异常”、“COVID-19凝血功能障碍”、“COVID-19败血症”、“COVID-19血液学异常”、“COVID-19肾损伤”、“COVID-19急性呼吸窘迫综合征”、“COVID-19心脏损伤”、“COVID-19肝损伤”和“COVID-19严重程度指标”进行了电子检索,截至目前(2020年5月11日)。我们仔细审查了搜索结果中出现的所有研究,并选择了40项研究作为研究对象。
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Laboratory findings in COVID-19 patients and biomarkers for early assessment of severity and mortality
The novel coronavirus-19 (severe acute respiratory syndrome coronavirus-2) pandemic has crossed more than 4,006,257 cases with 278,892 deaths worldwide and 67,152 cases and 2206 deaths in India. The disease has a variable clinical course ranging from mild to severe disease. Although most of the patients are asymptomatic, some patients with comorbidities have a high propensity of clinical worsening and mortality and it is this chunk of patients that we need to recuperate. Studies have shown that a number of laboratory parameters, which are easily available and inexpensive, can adequately predict the disease severity at an early stage. In a resource-limited country like India, where costly investigations cannot be routinely carried out in the magnitude as big as that of this pandemic, it is imperative that patients be monitored with these simple and inexpensive parameters that are elucidated in this review. We carried out an electronic search on PubMed and Google Scholar with keywords “laboratory abnormalities in COVID-19,” “coagulopathy in COVID-19,” “sepsis in COVID-19,” “hematologic abnormalities in COVID-19,” “kidney injury in COVID-19,” “acute respiratory distress syndrome in COVID-19,” “cardiac injury in COVID-19,” “liver injury in COVID-19,” and “severity indicators in COVID-19” till present date (May 11, 2020). All studies that appeared in our search results were scrutinized and 40 studies were selected for the study.
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