Factors Influencing the Prescription of Antibacterial Drugs in COVID-19 Patients: An Antibacterial Surveillance Study

Abstract

Introduction: The empiric use of antibiotics in Coronavirus Disease-2019 (COVID-19) infection is not routinely recommended unless a secondary bacterial infection is suspected or confirmed. However, there have been reports of widespread antibiotic use in COVID-19 patients, despite a low rate of secondary bacterial co-infection. Therefore, this study aims to understand the factors influencing the empirical prescription of antibacterial drugs in Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) confirmed COVID-19 patients in Indian settings, as the available data is sparse and conflicting. Aim: To determine the factors associated with antibacterial prescription in patients with proven COVID-19 infection at a tertiary care hospital. Materials and Methods: An antibacterial surveillance study was conducted at Nizam's Institute of Medical Sciences, Hyderabad, Telangana, India. The study duration was two months, from September 2020 to October 2020. The study included COVID-19 patients admitted to critical and non-critical COVID-19 Care Units. Patient data, including demographics, general and systemic examination details, biochemistry, pathological and microbiological reports, and treatment details, were collected using a specially designed form. Patients who were prescribed antibacterial drugs (other than repurposed antibacterial drugs for COVID-19 treatment) were considered as cases, while the rest were classified as controls. The Hazard Ratio (HR) for factors associated with antibacterial prescription was estimated using Cox regression analysis with the Statistical Package for Social Sciences (SPSS) version 20.0. Results: The study included 200 patients, of whom 45 (22.5%) received antibacterial drugs and were classified as cases, while the remaining 155 (77.5%) received antibacterial drugs and were classified as controls. The median age of cases and controls was 59 and 46 years, respectively. Cox regression analysis showed that procalcitonin >1 ng/mL (HR: 1.074, 95% Confidence Interval [CI]: 1.009-1.142, p-value=0.02) and admission to the critical care unit were independent predictors of antibacterial prescription. Additionally, high-dose steroid use (>120 mg/day of Methylprednisolone [MPS]) was associated with a 20% higher risk of antibacterial prescription, although the values were statistically non-significant (HR: 1.203, 95% CI: 0.503-2.879, p=0.678). Conclusion: Admission to critical care units and procalcitonin levels >1 ng/mL were identified as independent predictors of antibacterial prescription in COVID-19 patients. Compliance with hospital-based standard treatment guidelines promotes the rational use of antibacterial drugs.

Keywords

• antibiotic prescription
• antimicrobial stewardship
• antimicrobial resistance
• coronavirus disease-2019
• methylprednisolone
• procalcitonin
• severe acute respiratory syndrome coronavirus-2