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Utility of Routine Laboratory Biomarkers to Detect COVID-19: A Systematic Review and Meta-Analysis
- Source :
- Viruses, Vol 13, Iss 803, p 803 (2021), Viruses
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- No routine laboratory biomarkers perform well enough in diagnosing COVID-19 in isolation for them to be used as a standalone diagnostic test or to help clinicians prioritize patients for treatment. Instead, other diagnostic tests are needed. The aim of this work was to statistically summarise routine laboratory biomarker measurements in COVID-19-positive and -negative patients to inform future work. A systematic literature review and meta-analysis were performed. The search included names of commonly used, routine laboratory tests in the UK NHS, and focused on research papers reporting laboratory results of patients diagnosed with COVID-19. A random effects meta-analysis of the standardized mean difference between COVID-19-positive and -negative groups was conducted for each biomarker. When comparing reported laboratory biomarker results, we identified decreased white blood cell, neutrophil, lymphocyte, eosinophil, and platelet counts; while lactate dehydrogenase, aspartate aminotransferase, and alanine aminotransferase were elevated in COVID-19-positive compared to COVID-19-negative patients. Differences were identified across a number of routine laboratory biomarkers between COVID-19-positive and -negative patients. Further research is required to identify whether routine laboratory biomarkers can be used in the development of a clinical scoring system to aid with triage of patients.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
diagnosis
Review
Microbiology
03 medical and health sciences
0302 clinical medicine
systematic review
Virology
Internal medicine
Humans
Medicine
030212 general & internal medicine
Diagnostic Tests, Routine
business.industry
Routine laboratory
Reporting laboratory
COVID-19
Triage
United Kingdom
QR1-502
meta-analysis
030104 developmental biology
Infectious Diseases
Systematic review
Strictly standardized mean difference
Meta-analysis
Biomarker (medicine)
biomarker
business
Biomarkers
Subjects
Details
- Language :
- English
- ISSN :
- 19994915
- Volume :
- 13
- Issue :
- 803
- Database :
- OpenAIRE
- Journal :
- Viruses
- Accession number :
- edsair.doi.dedup.....7b752f4d647397d1b6c4f08761e26bd5