Predictors of COVID-19 severity: A literature review.
Benjamin Gallo MarinGhazal AghagoliKatya LavineLanbo YangEmily J SiffSilvia S ChiangThais P Salazar-MatherLuba DumencoMichael C SavariaSu N AungTimothy FlaniganIan C MichelowPublished in: Reviews in medical virology (2020)
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.
Keyphrases
- coronavirus disease
- prognostic factors
- healthcare
- sars cov
- computed tomography
- respiratory syndrome coronavirus
- case report
- cardiovascular events
- randomized controlled trial
- emergency department
- palliative care
- risk factors
- systematic review
- public health
- positron emission tomography
- endothelial cells
- cardiovascular disease
- magnetic resonance
- type diabetes
- skeletal muscle
- adipose tissue
- weight loss