Serum biomarkers for prediction of mortality in patients with COVID-19

Ann Clin Biochem. 2022 Jan;59(1):15-22. doi: 10.1177/00045632211014244. Epub 2021 May 14.

Abstract

Background: There is limited information regarding the role of biomarker levels at predicting mortality in patients with the coronavirus disease (COVID-19) pandemic. The purpose of this study is to determine the differences in serum biomarker levels in adults with COVID-19 who survived hospitalization from those who did not.

Methods: A comprehensive search was completed on PubMed, EMBASE and Cochrane libraries to identify studies of interest. Endpoints of interest were blood counts, hepatic function test, acute phase reactants, cytokines and cardiac biomarkers.

Results: A total of 10 studies with 1584 patients were included in the pooled analyses. Biomarkers that were noted to be significantly higher in those who died from coronavirus disease included: white blood cell count, neutrophil count, C-reactive protein, high sensitivity C-reactive protein, procalcitonin, ferritin, D-dimer, interleukin-6, lactate dehydrogenase, creatine kinase, prothrombin time, aspartate aminotransferase, alanine aminotransferase, total bilirubin and creatinine. Lymphocyte count, platelet count and albumin were significantly lower in patients who died.

Conclusion: This pooled analysis of 10 studies including 1584 patients identified significant differences in biomarkers on admission in patients who survived from those who did not. Further research is needed to develop risk stratification models to help with judicious use of limited health-care resources.

Keywords: COVID; biomarkers; coronavirus; inflammation; mortality.

MeSH terms

  • Biomarkers
  • C-Reactive Protein / analysis
  • COVID-19*
  • Humans
  • Leukocyte Count
  • Pandemics
  • Retrospective Studies
  • SARS-CoV-2

Substances

  • Biomarkers
  • C-Reactive Protein