Ontology highlight
ABSTRACT: Background
COVID-19 caused a profound global impact, resulting in significant cases and deaths. The progression of COVID-19 clinical manifestations is influenced by a dysregulated inflammatory response. Early identification of the subclinical progression is crucial for timely intervention and improved patient outcomes. While there are various biomarkers to predict disease severity and outcomes, their accessibility and affordability pose challenges in resource-limited settings. We explored the potentiality of the neutrophil-to-lymphocyte ratio (NLR) as a cost-effective inflammatory marker to predict disease severity, clinical deterioration, and mortality in affected patients.Methodology
A hospital-based retrospective cohort study was conducted at KCMC Hospital among COVID-19
SUBMITTER: Kyala NJ
PROVIDER: S-EPMC11785306 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature