Predictors of COVID ‐19 severity: A literature review

Benjamin Gallo Marin, Ghazal Aghagoli, Katya Lavine, Lanbo Yang, Emily J. Siff, Silvia S. Chiang, Thais P. Salazar‐Mather, Luba Dumenco, Michael C Savaria, Su N. Aung, Timothy Flanigan, Ian C. Michelow
2020 Reviews in Medical Virology  
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.
more » ... ings 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.
doi:10.1002/rmv.2146 pmid:32845042 fatcat:ot72rx3d6zcyzjc2qdnvfrjd5q