PS-C16-11: PREVALENCE AND HOSPITAL OUTCOME OF BACTERIAL CO-INFECTION IN RESPIRATORY TRACT SPECIMEN AMONG COVID 19 PATIENTS WITH SARS-COV-2 PNEUMONIA

Abstract

Introduction: COVID-19, a zoonotic disease caused by the novel coronavirus SARS-CoV-2, is a highly transmittable pathogenic viral infection, infecting millions of people globally. Guidelines recommendthe use of empiric antimicrobials based on clinical judgment, patient host factors and local epidemiology in patients suspected or confirmed severe COVID-19. However, current evidence does not support a high rate of bacterial respiratory co-infections in patients with SARS-COV-2 infection. At present, there is no known study regarding the prevalence of bacterial co-infection in COVID-19 patients in the Philippines Methods: This research is a cross-sectional hospital-based study that utilized hospital electronic and printed medical records, chest radiograph and microbiologic results. All respiratory specimen bacteriologic results for the year 2020 and 2021 were collected from the hospital laboratory unit followed by review of the hospital electronic records, printed medical records and chest radiograph results. Data were analyzed using Two-tailed Z-test for significance test for proportions and Chi-square test. Results: Among 100 subjects, only 22% (n = 22) of the subjects were found to have bacterial isolates. the only demographic that is dependent with presence of bacterial infection is gender. The three most common bacterial isolate among COVID confirmed patients are Klebsiella pneumoniae (n = 9), Pseudomonas aeruginosa (n = 5), and Acinetobacter baumannii (n = 3). Although the most common bacterial isolate is Klebsiella pneumoniae, the most common bacterial co-infection in patients who died are Acinetobacter baumannii (n = 2, 29%)and Pseudomonas aeruginosa (n = 2, 29%). Conclusion: The prevalence of bacterial co-infection among COVID confirmed patients is relatively low, hence appropriate guidelines regarding antibiotic use should be formed taking into consideration local data on antimicrobial resistance.