Multifactorial Predictors of Outcomes in COVID-19: Insights from Radiological, Laboratory, and Clinical Data
DOI:
https://doi.org/10.48047/gdrmgd30Keywords:
Predictors of Outcomes, COVID-19Abstract
The COVID-19 pandemic has posed unprecedented challenges to healthcare systems worldwide, necessitating the identification of reliable predictors of patient outcomes to optimize resource allocation and clinical management. This review explores the radiological, laboratory, and clinical predictors of outcomes in hospitalized COVID-19 patients. Radiological findings, particularly chest imaging abnormalities, including bilateral ground glass opacities and consolidation on CT scans, have emerged as critical indicators of disease severity and prognosis. Laboratory biomarkers, such as elevated D-dimer, CRP, ferritin, and lymphopenia, have been closely linked to poor outcomes, reflecting hyperinflammation and coagulopathy in severe disease. Clinical parameters, including age, comorbidities (e.g., diabetes, hypertension, cardiovascular disease), and oxygenation status, significantly influence patient trajectories, with older patients and those with comorbid conditions experiencing higher mortality and prolonged hospitalization. This review synthesizes the current evidence, highlighting the interplay between radiological, laboratory, and clinical
factors in predicting outcomes and guiding treatment strategies. By integrating these predictors, clinicians can better stratify risk, identify patients requiring intensive care, and improve overall COVID-19 management outcomes.
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