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   <subfield code="a">How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals?</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Peter Smith, Göran Kronvall]</subfield>
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   <subfield code="a">Normalised resistance interpretation was applied to the estimation of epidemiological cut-off values from data sets that contained &gt;150 observations from fully susceptible wild-type (WT) strains for six bacterial groups/antibiotic combinations. A series of 20 subsets containing 10, 20, 30 and 40 WT observations were randomly generated from these six larger data sets. The epidemiological cut-off values estimated using these 480 small data sets were compared with those estimated from their larger, parental data sets. Eighty-seven per cent of the 360 epidemiological cut-off values estimated from subsets that contained ≥20 WT observations were in agreement with those estimated from their respective larger sets. The remaining 13% differed only by one doubling dilution. These calculations suggest that small strain sets can be used to set epidemiological cut-off values for MIC data without unacceptable loss of precision. It is concluded that the design of experiments intended to generate the data necessary to set epidemiological cut-off values should aim to include observations on at least 30 WT observations.</subfield>
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