Correlation between Previous Antibiotic Exposure and COVID-19 Severity: A Population-Based Cohort Study
Research output: Contribution to journal › Journal article › Research › peer-review
Documents
- Fulltext
Final published version, 648 KB, PDF document
We examined the correlation between previous antibiotic exposure and COVID-19 severity using a population-based observational matched cohort study with patient level data obtained for more than 5.8 million people registered in SIDIAP in Catalonia, Spain. We included all patients newly diagnosed with COVID-19 from March to June 2020 and identified all their antibiotic prescriptions in the previous two years. We used a composite severity endpoint, including pneumonia, hospital admission and death due to COVID-19. We examined the influence of high antibiotic exposure (>4 regimens), exposure to highest priority critically important antimicrobials (HPCIA) and recent exposure. Potential confounders were adjusted by logistic regression. A total of 280,679 patients were diagnosed with COVID-19, 146,656 of whom were exposed to at least one antibiotic course (52.3%) during the preceding two years. A total of 25,222 presented severe COVID-19 infection (9%), and the risk of severity was highest among those exposed to antibiotics (OR 1.12; 95% CI: 1.04-1.21). Among all individuals exposed to antibiotics, high, recent and exposure to HPCIAs were correlated with increased COVID severity (OR 1.19; 95% CI: 1.14-1.26; 1.41; 95% CI: 1.36-1.46; and 1.35; 95% CI: 1.30-1.40, respectively). Our findings confirm a significant correlation between previous antibiotic exposure and increased severity of COVID-19 disease.
Original language | English |
---|---|
Journal | Antibiotics |
Volume | 10 |
Issue number | 11 |
ISSN | 2079-6382 |
DOIs | |
Publication status | Published - 2021 |
Number of downloads are based on statistics from Google Scholar and www.ku.dk
ID: 286245504