4.7 Article

Clinical laboratory evaluation of COVID-19

期刊

CLINICA CHIMICA ACTA
卷 519, 期 -, 页码 172-182

出版社

ELSEVIER
DOI: 10.1016/j.cca.2021.04.022

关键词

SARS-CoV-2; COVID-19; Laboratory diagnosis; Biomarker

资金

  1. National Natural Science Foundation of China [81703547]
  2. Shandong Medicine and Health Science Technology Development plan [2016WS0479]

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COVID-19, caused by SARS-CoV-2, is a highly infectious disease where clinical laboratory detection plays a crucial role. Nucleic acid amplification testing and monitoring specific antibodies are effective for diagnosis and disease progression evaluation. Various abnormal clinical laboratory indicators can signal disease severity and progression.
COVID-19, caused by SARS-CoV-2, is a highly infectious disease, and clinical laboratory detection has played important roles in its diagnosis and in evaluating progression of the disease. Nucleic acid amplification testing or gene sequencing can serve as pathogenic evidence of COVID-19 diagnosing for clinically suspected cases, and dynamic monitoring of specific antibodies (IgM, IgA, and IgG) is an effective complement for false-negative detection of SARS-CoV-2 nucleic acid. Antigen tests to identify SARS-CoV-2 are recommended in the first week of infection, which is associated with high viral loads. Additionally, many clinical laboratory indicators are abnormal as the disease evolves. For example, from moderate to severe and critical cases, leukocytes, neutrophils, and the neutrophil-lymphocyte ratio increase; conversely, lymphocytes decrease progressively but are over activated. LDH, AST, ALT, CK, high-sensitivity troponin I, and urea also increase progressively, and increased Ddimer is an indicator of severe disease and an independent risk factor for death. Severe infection leads to aggravation of inflammation. Inflammatory biomarkers and cytokines, such as CRP, SAA, ferritin, IL-6, and TNF alpha, increase gradually. High-risk COVID-19 patients with severe disease, such as the elderly and those with underlying diseases (cardiovascular disease, diabetes, chronic respiratory disease, hypertension, obesity, and cancer), should be monitored dynamically, which will be helpful as an early warning of serious diseases.

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