Survey of antibiotic and antifungal prescribing in patients with suspected and confirmed COVID-19 in Scottish hospitals.

BACKGROUND: Concern regarding bacterial co-infection complicating SARS-CoV-2 has created a challenge for antimicrobial stewardship. Following introduction of national antibiotic recommendations for suspected bacterial respiratory tract infection complicating COVID-19, a point prevalence survey of prescribing was conducted across acute hospitals in Scotland. METHODS: Patients in designated COVID-19 units were included and demographic, clinical and antimicrobial data were collected from 15 hospitals on a single day between 20th and 30th April 2020. Comparisons were made between SARS-CoV-2 positive and negative patients and patients on non-critical care and critical care units. Factors associated with antibiotic prescribing in SARS-CoV-2 positive patients were examined using Univariable and multivariable regression analyses. FINDINGS: There were 820 patients were included, 64.8% were SARS-CoV-2 positive and 14.9% were managed in critical care, and 22.1% of SARS-CoV-2 infections were considered probable or definite nosocomial infections. On the survey day, antibiotic prevalence was 45.0% and 73.9% were prescribed for suspected respiratory tract infection. Amoxicillin, doxycycline and co-amoxiclav accounted for over half of all antibiotics in non-critical care wards and meropenem, piperacillin-tazobactam and co-amoxiclav accounted for approximately half prescribed in critical care. Of all SARS-CoV-2 patients, 38.3% were prescribed antibiotics. In a multivariable logistic regression analysis, COPD/chronic lung disease and CRP ≥ 100 mg/l were associated with higher odds and probable or confirmed nosocomial COVID-19, diabetes and management on an elderly care ward had lower odds of an antibiotic prescription. Systemic antifungals were prescribed in 9.8% of critical care patients and commenced a median of 18 days after critical care admission. INTERPRETATION: A relatively low prevalence of antibiotic prescribing in SARS-CoV-2 hospitalised patients and low proportion of broad spectrum antibiotics in non-critical care settings was observed potentially reflecting national antimicrobial stewardship initiatives. Broad spectrum antibiotic and antifungal prescribing in critical care units was observed indicating the importance of infection prevention and control and stewardship initiatives in this setting. FUNDING: The Scottish Antibiotic Prescribing Group is funded by Scottish Government.

Impact of the COVID-19 pandemic on community antibiotic prescribing in Scotland.

BACKGROUND: Following concerns about increased antibiotic use during the COVID-19 pandemic, trends in community antibiotic prescriptions in Scotland were evaluated. METHODS: The primary care prescription electronic messaging system used in GP practices with NHS contracts provided near real-time data analysis of national data. The main outcome measures were the weekly number of prescriptions for antibiotics generated by prescribers in GP practices in 2020 compared with 2019. RESULTS: At end of Week 12 2020 (22 March), after a sharp increase, the number of prescriptions commonly used for respiratory infections was 44% higher than the corresponding week in 2019. The number of prescriptions for respiratory antibiotics reduced through April and May 2020, with 34% fewer prescriptions issued by end of Week 22 (31 May) than in the corresponding week in 2019. Reductions were pronounced in all age groups but particularly apparent for prescriptions for children aged 0-4 years. These data were compared with weekly prescriptions for a selection of non-respiratory antibiotics and no difference was seen between 2020 and 2019. CONCLUSIONS: Trends in antibiotic prescription data show that after an initial surge, and following 'lockdown' in Scotland, the total number of prescriptions for antibiotics commonly used for respiratory infections fell. We believe this is the first published national evaluation of the impact of COVID-19 on community use of antibiotics. Further analysis of national data is planned to provide a greater understanding of the reasons behind these trends.