
Although increasing numbers of hospital microbiology laboratories are performing antifungal susceptibility testing ( AST ), its routine use is uncommon. The utility of AST is founded on the belief that susceptibility (or resistance) of an agent allows some prediction of clinical outcome. This review provides an overview of the development of antifungal susceptibility testing methodology, including wild‐type minimum inhibitory concentration ( MIC ) distributions, epidemiologic breakpoints, and Interpretive Clinical Breakpoints for antifungal agents. In addition, we examine the current clinical utility of AST and the clinical data support utilized in the development of clinical breakpoints ( CBP ) for common pathogens causing invasive fungal infections. In the treatment of fungal infections, identifying consistent correlations between MIC s – or susceptibility category – and clinical outcomes is an ongoing challenge, and current data sets are insufficient for many drugs and pathogens to enable the development, revision, or confirmation of CBP s. Antifungal susceptibility testing is of current value, but further research in many areas is needed before MIC s are independently used to guide treatment decisions.
Antifungals, Antifungal Agents, Resistance, Epidemiological Cut‐Off Value, Microbial Sensitivity Tests, Azole Antifungal, Mycoses, Pharmacy and Pharmacology, Drug Resistance, Fungal, Health Sciences, Practice Guidelines as Topic, Humans, Echinocandin, Antifungal Susceptibility Testing, Fluconazole, Clinical Breakpoints
Antifungals, Antifungal Agents, Resistance, Epidemiological Cut‐Off Value, Microbial Sensitivity Tests, Azole Antifungal, Mycoses, Pharmacy and Pharmacology, Drug Resistance, Fungal, Health Sciences, Practice Guidelines as Topic, Humans, Echinocandin, Antifungal Susceptibility Testing, Fluconazole, Clinical Breakpoints
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
