Ontology highlight
ABSTRACT: Background
Bacterial infections complicate COVID-19 and contribute to adverse outcomes. Despite low prevalence, antibiotics are frequently prescribed empirically, raising concerns for antimicrobial resistance. This study aimed to identify risk factors for bacterial infections in hospitalized COVID-19 patients and explore drivers of antibiotic use in those without infection.Methods
We conducted a retrospective study at Aga Khan University Hospital, Karachi, including 5383 adults hospitalized with PCR- or antigen-confirmed COVID-19. Patients were classified by presence of bacterial infection, defined by positive cultures or procalcitonin > 5 ng/mL. Logistic regression identified predictors of bacterial infection, antibiotic use in patients without infection, and associations
SUBMITTER: Fazal W
PROVIDER: S-EPMC12645245 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature