1. Predictors of COVID-19 severity: A literature review.
- Author
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Gallo Marin B, Aghagoli G, Lavine K, Yang L, Siff EJ, Chiang SS, Salazar-Mather TP, Dumenco L, Savaria MC, Aung SN, Flanigan T, and Michelow IC
- Subjects
- Adult, Aging, Biomarkers, Child, Comorbidity, Humans, Hypoxia pathology, Prognosis, SARS-CoV-2 pathogenicity, COVID-19 mortality, COVID-19 pathology, COVID-19 transmission, Severity of Illness Index
- 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., (© 2020 John Wiley & Sons, Ltd.)
- Published
- 2021
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