How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals?
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| 001 | 605464995 | ||
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| 024 | 7 | 0 | |a 10.1007/s10499-014-9827-x |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10499-014-9827-x | ||
| 245 | 0 | 0 | |a How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals? |h [Elektronische Daten] |c [Peter Smith, Göran Kronvall] |
| 520 | 3 | |a Normalised resistance interpretation was applied to the estimation of epidemiological cut-off values from data sets that contained >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. | |
| 540 | |a Springer International Publishing Switzerland, 2014 | ||
| 690 | 7 | |a Antibiotic susceptibility |2 nationallicence | |
| 690 | 7 | |a Epidemiological cut-off values |2 nationallicence | |
| 690 | 7 | |a MIC |2 nationallicence | |
| 690 | 7 | |a CLSI test protocols |2 nationallicence | |
| 690 | 7 | |a M49-A |2 nationallicence | |
| 690 | 7 | |a Precision |2 nationallicence | |
| 690 | 7 | |a Sample size |2 nationallicence | |
| 700 | 1 | |a Smith |D Peter |u Department of Microbiology, School of Natural Sciences, National University of Ireland, Galway, Ireland |4 aut | |
| 700 | 1 | |a Kronvall |D Göran |u Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden |4 aut | |
| 773 | 0 | |t Aquaculture International |d Springer International Publishing |g 23/2(2015-04-01), 465-470 |x 0967-6120 |q 23:2<465 |1 2015 |2 23 |o 10499 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10499-014-9827-x |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10499-014-9827-x |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Smith |D Peter |u Department of Microbiology, School of Natural Sciences, National University of Ireland, Galway, Ireland |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Kronvall |D Göran |u Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Aquaculture International |d Springer International Publishing |g 23/2(2015-04-01), 465-470 |x 0967-6120 |q 23:2<465 |1 2015 |2 23 |o 10499 | ||