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The critical influence of the intermediate category on interpretation errors in revised EUCAST and CLSI antimicrobial
M Hombach1, E C Böttger, M Roos
1Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.
Abstract:
Erroneous assignments of clinical isolates to the interpretative categories susceptible, intermediate and resistant can deprive a patient of successful antimicrobial therapy. The rate of major errors (ME) and very major errors (vME) is dependent on: (i) the precision/standard deviation (σ) of the antibiotic susceptibility testing (AST) method, (ii) the diameter distributions, (iii) clinical breakpoints, and (iv) the width of the intermediate zone. The European Committee on AST (EUCAST) has abandoned or decreased the intermediate zone for several drug/species combinations. This study focused on the effects of discontinuing the intermediate category on the rate of interpretation errors. In total, 10,341 non-duplicate clinical isolates were included in the study. For susceptibility testing the disc diffusion method was used. Error probabilities were calculated separately for diameter values flanking the interpretative category borders. Error probabilities were then applied to the actual numbers of clinical isolates investigated and expected rates of ME and vME were calculated. Applying EUCAST AST guidelines, significant rates of ME/vME were demonstrated for all drug/species combinations without an intermediate range. Virtually all ME/vME expected were eliminated in CLSI guidelines that retained an intermediate zone. If wild-type and resistant isolates are not clearly separated in susceptibility distributions, the retaining of an intermediate zone will decrease the number of ME and vME. An intermediate zone of 2-3 mm avoids almost all ME/vME for most species/drug combinations depending on diameter distributions. Laboratories should know their epidemiology settings to be able to detect problems of individual species/drug/clinical breakpoint combinations and take measures to improve precision of diameter measurements.
Insights
Discontinuing the intermediate zone in antibiotic susceptibility testing (AST) significantly increases interpretation errors. Retaining an intermediate zone, especially 2-3 mm wide, minimizes major errors (ME) and very major errors (vME) in clinical isolates.
Area of Science:
- Clinical microbiology
- Antimicrobial resistance surveillance
- Diagnostic accuracy
Background:
- Erroneous antibiotic susceptibility testing (AST) category assignments (susceptible, intermediate, resistant) can lead to suboptimal antimicrobial therapy.
- Major errors (ME) and very major errors (vME) in AST are influenced by method precision, breakpoint definitions, and the width of the intermediate zone.
- The European Committee on Antimicrobial Susceptibility Testing (EUCAST) has reduced or eliminated intermediate zones for certain drug-species combinations.
Framework:
- This study evaluates the impact of removing the intermediate zone on the rate of interpretation errors in AST.
- Error probabilities were calculated based on diameter values around interpretative category borders.
- Expected rates of ME and vME were determined by applying these probabilities to a large dataset of clinical isolates.
Implementation:
- A total of 10,341 non-duplicate clinical isolates were analyzed using the disc diffusion method for susceptibility testing.
- Error rates were calculated for drug/species combinations with and without an intermediate range, following EUCAST and CLSI guidelines.
- The study specifically assessed the effect of eliminating the intermediate category on ME and vME rates.
Implications:
- Eliminating the intermediate zone, as per EUCAST guidelines, resulted in significant rates of ME/vME across tested combinations.
- Retaining an intermediate zone, as in CLSI guidelines, effectively minimized expected ME and vME, particularly when wild-type and resistant isolates are not well separated.
- A 2-3 mm intermediate zone is recommended to mitigate most ME/vME for common species/drug combinations, emphasizing the need for laboratory awareness of local epidemiology and measurement precision.
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