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Predictors of COVID-19 severity: A literature review.
- Source :
-
Reviews in medical virology [Rev Med Virol] 2021 Jan; Vol. 31 (1), pp. 1-10. Date of Electronic Publication: 2020 Jul 30. - Publication Year :
- 2021
-
Abstract
- The coronavirus disease 2019 (COVID-19) pandemic is a rapidly evolving global emergency that continues to strain healthcare systems. Emerging research describes a plethora of patient factors-including demographic, clinical, immunologic, hematological, biochemical, and radiographic findings-that may be of utility to clinicians to predict COVID-19 severity and mortality. We present a synthesis of the current literature pertaining to factors predictive of COVID-19 clinical course and outcomes. Findings associated with increased disease severity and/or mortality include age > 55 years, multiple pre-existing comorbidities, hypoxia, specific computed tomography findings indicative of extensive lung involvement, diverse laboratory test abnormalities, and biomarkers of end-organ dysfunction. Hypothesis-driven research is critical to identify the key evidence-based prognostic factors that will inform the design of intervention studies to improve the outcomes of patients with COVID-19 and to appropriately allocate scarce resources.<br /> (© 2020 John Wiley & Sons, Ltd.)
Details
- Language :
- English
- ISSN :
- 1099-1654
- Volume :
- 31
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Reviews in medical virology
- Publication Type :
- Academic Journal
- Accession number :
- 32845042
- Full Text :
- https://doi.org/10.1002/rmv.2146