Missed Opportunities for Antifungal Stewardship during the COVID-19 Era.
Brandon K HawkinsSamantha D YeagerMahmoud A ShormanPublished in: Antibiotics (Basel, Switzerland) (2023)
Significant increases in antibacterial use were observed during the COVID-19 pandemic. However, subsequent analyses found this increase in antibiotic use to be excessive in comparison with the relatively low rates of bacterial coinfection. Although patients who are critically ill with COVID-19 may be at an increased risk for pulmonary aspergillosis, antifungal use in these populations remained underreported, particularly in later phases of the pandemic. This single-center, population-level cohort analysis compares the monthly use rates of mold-active antifungal drugs in the medical intensive care unit during April 2019-March 2020 (baseline) with those during April 2020-November 2022. The antifungal drugs included in the analysis were liposomal amphotericin B, anidulafungin, isavuconazonium, posaconazole, and voriconazole. We found that during 2020-2022, the usage of antifungal drugs was not significantly different from baseline for all included agents except isavuconazonium, which was used significantly more ( p = 0.009). There were no changes in diagnostic modalities between the two time periods. The reported prevalence of and mortality from COVID-19-associated pulmonary aspergillosis (CAPA) may have resulted in higher rates of prescribing antifungal drugs for critically ill patients with COVID-19. Antimicrobial stewardship programs should develop and apply tools to facilitate more effective and appropriate antifungal use.
Keyphrases
- candida albicans
- coronavirus disease
- sars cov
- intensive care unit
- pulmonary hypertension
- end stage renal disease
- risk factors
- healthcare
- primary care
- ejection fraction
- newly diagnosed
- chronic kidney disease
- public health
- type diabetes
- respiratory syndrome coronavirus
- emergency department
- coronary artery disease
- physical activity
- peritoneal dialysis
- cardiovascular events
- patient reported outcomes
- silver nanoparticles
- data analysis