This study will examine the impact of empiric antibiotic therapy on patients who present to hospital with an acute lower respiratory illness and a diagnosis of COVID-19 present-on-admission.~The Premier Healthcare Database will be used as the data source for administrative data. In addition, the subset of hospitals reporting microbiology and laboratory data will be used for subset analyses and validation purposes. The primary population to be studied will be non-intubated patients diagnosed with COVID-19 on admission (identified by diagnosis coding and/or polymerase chain reaction result present-on-admission) who have diagnosis codes supportive of acute lung illness (e.g. pneumonia). Patients with extra-pulmonary infections present-on-admission for which antibiotics would be generally administered and/or those requiring vasopressors and/or mechanical ventilation on the day of admission or day after will be excluded.~Patients will be analyzed according to their antibiotic treatment status, using an overlap weight matching strategy. Patients will be matched on age, gender, ethnicity, Elixhauser comorbidity index and month of admission as well as severity of acute illness (need for intensive care unit and acute organ failure score present-on-admission), performance of rapid diagnostic testing for bacterial respiratory pathogens, and receipt of concomitant putative COVID-19 directed therapy (remdesivir, tocilizumab, systemic corticosteroids, hydroxychloroquine) initiated on the day of or day after admission respectively. Logistic regression will be performed downstream to matching to mitigate the impact of residual confounding.The primary outcome and secondary outcomes are reported separately below.~Effect modification of the relationship between empiric antibiotics and outcomes will be examined across clinically relevant subgroups based on antibiotic regimens (separately comparing community and hospital acquired type coverage to no empiric antibiotics respectively), and those with or without need for non-invasive ventilation on admission as well as quartiles of hospital's frequency of empiric antibiotic use and admission procalcitonin level (when available) respectively among patients admitted with COVID-19.~Sensitivity analyses will be performed to examine outcomes with vs without coding for conditions that may or may not suggest a definite indication for antibiotic on admission (e.g. chronic obstructive lung disease exacerbation) and/or explicit diagnosis for sepsis (as it remains unclear in whom this code was indicated to represent confirmed viral sepsis). Sensitivity analyses will also be performed to include patients without diagnosis codes for acute lower respiratory illness present-on-admission to include patients with COVID-19 pneumonia who may not have been coded for pneumonia per se.
This retrospective analysis of inpatient data obtained from administrative and electronic medical records will investigate the role of empiric antibiotics on admission on the mortality for non-intubated patients presenting with Novel Coronavirus Diseases 2019 (COVID-19) associated pneumonia without extra-pulmonary sources of infection or septic shock.