The primary objectives were to determine the prevalence of and identify variables associated with respiratory bacterial co-infection in COVID-19 inpatients. Secondary outcomes included length of stay and in-hospital mortality. Eighty-two (11.2%) of 735 COVID-19 inpatients had respiratory bacterial co-infection. Fifty-seven patients met inclusion criteria and were matched to three patients lacking co-infection (N = 228 patients). Patients with co-infection were more likely to receive antibiotics [57 (100%) vs. 130 (76%), p < 0.0001] and for a longer duration [19 (13-33) vs. 8 (4-13) days, p <0.0001]. The multi-variable logistic regression model revealed risk factors of respiratory bacterial co-infection to be admission from SNF/LTAC/NH (AOR 6.8, 95% CI 2.6-18.2), severe COVID-19 (AOR 3.03, 95% CI 0.78-11.9), and leukocytosis (AOR 3.03, 95% CI 0.99-1.16). Although respiratory bacterial co-infection is rare in COVID-19 inpatients, antibiotic use is common. Early recognition of respiratory bacterial coinfection predictors in COVID-19 inpatients may improve empiric antibiotic prescribing.

Background COVID-19 pneumonia can be indistinguishable from other infectious respiratory etiologies, so providers are challenged with deciding whether empiric antibiotics should be prescribed to hospitalized patients with SARS-CoV-2. This study aimed to evaluate predictors of respiratory bacterial co-infections (RBCI) in hospitalized patients with COVID-19. Methods Retrospective study evaluating COVID-19 inpatients from Feb 1, 2020 to Sept 30, 2020 at a tertiary academic medical center. Patients with RBCI were matched with three COVID-19 inpatients lacking RBCI admitted within 7 days of each other. The primary objectives of this study were to determine the prevalence of and identify variables associated with RBCI in COVID-19 inpatients. Secondary outcomes included length of stay and mortality. Data collected included demographics; inflammatory markers; bacterial culture/antigen results; antibiotic exposure; and COVID-19 severity. Wilcoxon rank sum, Chi Square tests, or Fisher’s exact tests were utilized as appropriate. A multivariable logistic regression (MLR) model was conducted to identify covariates associated with RBCI. Results Seven hundred thirty-five patients were hospitalized with COVID-19 during the study period. Of these, 82 (11.2%) had RBCI. Fifty-seven of these patients met inclusion criteria and were matched to three patients lacking RBCI (N = 228 patients). Patients with RBCI were more likely to receive antibiotics [57 (100%) vs. 130 (76%), p &lt; 0.0001] and for a longer cumulative duration [19 (13-33) vs. 8 (4-13) days, p &lt; 0.0001] compared to patients lacking RBCI. The MLR model revealed risk factors of RBCI to be admission from SNF/LTAC/NH (AOR 6.8, 95% CI 2.6-18.2), severe COVID-19 (AOR 3.03, 95% CI 0.78-11.9), and leukocytosis (AOR 3.03, 95% CI 0.99-1.16). Conclusion Although RBCI is rare in COVID-19 inpatients, antibiotic use is common. COVID-19 inpatients may be more likely to have RBCI if they are admitted from a SNF/LTAC/NH, have severe COVID-19, or present with leukocytosis. Early and prompt recognition of RBCI predictors in COVID-19 inpatients may facilitate timely antimicrobial therapy while improving antimicrobial stewardship among patients at low risk for co-infection. Disclosures All Authors: No reported disclosures