Predictors of COVID-19 severity: A literature review.
Rev Med Virol
; 31(1): 1-10, 2021 01.
Article
in English
| MEDLINE | ID: covidwho-1064420
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Severity of Illness Index
/
COVID-19
Type of study:
Prognostic study
/
Reviews
Limits:
Adult
/
Child
/
Humans
Language:
English
Journal:
Rev Med Virol
Journal subject:
Virology
Year:
2021
Document Type:
Article
Affiliation country:
Rmv.2146
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