| dc.description.abstract | Aims: As of the 28th April 2020, the COVID-19 pandemic has infiltrated over 200 countries and affected over
three million confirmed people. We review different biomarkers to evaluate if they are able to predict clinical
outcomes and correlate with the severity of COVID-19 disease.
Methods: A systematic review of the literature was carried out to identify relevant articles using six different
databases. Keywords to refine the search included ‘COVID-19’, ‘SARS-CoV2’, ‘Biomarkers’, among others. Only
studies which reported data on pre-defined outcomes were included.
Key findings: Thirty-four relevant articles were identified which reviewed the following biomarkers: C-reactive
protein, serum amyloid A, interleukin-6, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, D-dimer, cardiac troponin, renal biomarkers, lymphocytes and platelet count. Of these, all but two, showed significantly
higher levels in patients with severe complications of COVID-19 infection compared to their non-severe counterparts. Lymphocytes and platelet count showed significantly lower levels in severe patients compared to nonsevere patients.
Significance: Although research is still in its early stages, the discovery of how different biomarkers behave
during the course of the disease could help clinicians in identifying severe disease earlier and subsequently
improve prognosis. Nevertheless, we urge for more research across the globe to corroborate these findings. | spa |
