Predictors of COVID ‐19 severity: A literature review
Brown University · Rhode Island Department of Health · +1 more institution
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,…
Citation impact
- FWCI
- 16.96
- Percentile
- 100%
- References
- 131
Authors
12Topics & keywords
- Coronavirus disease 2019 (COVID-19)
- 2019-20 coronavirus outbreak
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Medicine
- Betacoronavirus
- Sars virus
- Virology
- Coronavirus Infections
- Good health and well-being