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Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19
OBJECTIVES: Previous observational studies have suggested that increased cardiac markers are commonly found in COVID-19. This study aimed to determine the relationship between several cardiac markers and the severity/mortality of COVID-19 patients. METHODS: Several cardiac markers were analysed in t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942156/ https://www.ncbi.nlm.nih.gov/pubmed/33711519 http://dx.doi.org/10.1016/j.ijid.2021.03.008 |
Sumario: | OBJECTIVES: Previous observational studies have suggested that increased cardiac markers are commonly found in COVID-19. This study aimed to determine the relationship between several cardiac markers and the severity/mortality of COVID-19 patients. METHODS: Several cardiac markers were analysed in this meta-analysis. RevMan 5.4 was used to provide pooled estimates for standardised mean difference (SMD) with 95% confidence intervals. RESULTS: Twenty-nine clinical studies were included in this meta-analysis. Significantly higher CK-MB (0.64, 95% CI = 0.19–1.09), PCT (0.47, 95% CI = 0.26−0.68), NT-proBNP (1.90, 95% CI = 1.63–2.17), BNP (1.86, 95% CI = 1.63−2.09), and d-dimer (1.30, 95% CI = 0.91−1.69) were found in severe compared with non-severe COVID-19. Significantly higher CK-MB (3.84, 95% CI = 0.62−7.05), PCT (1.49, 95% CI = 0.86−2.13), NT-proBNP (4.66, 95% CI = 2.42−6.91), BNP (1.96, 95% CI = 0.78−3.14), troponin (1.64 (95% CI = 0.83−2.45), and d-dimer (2.72, 95% CI = 2.14−3.29) were found in those who died from compared with survivors of COVID-19. CONCLUSIONS: High CK-MB, PCT, NT-proBNP, BNP, and d-dimer could be predictive markers for severity of COVID-19, while high CK-MB, PCT, NT-proBNP, BNP, troponin, and d-dimer could be predictive markers for survival of COVID-19 patients. |
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