How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals?

Abstract 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, 3...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Smith, Peter [verfasserIn] Kronvall, Göran [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Antibiotic susceptibility Epidemiological cut-off values MIC CLSI test protocols M49-A Precision Sample size

Übergeordnetes Werk:	Enthalten in: Aquaculture international - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993, 23(2014), 2 vom: 19. Aug., Seite 465-470
Übergeordnetes Werk:	volume:23 ; year:2014 ; number:2 ; day:19 ; month:08 ; pages:465-470

Links:	Volltext

DOI / URN:	10.1007/s10499-014-9827-x

Katalog-ID:	SPR010524169

Internformat


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245	1	0	\|a 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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520			\|a Abstract 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.
650		4	\|a Antibiotic susceptibility \|7 (dpeaa)DE-He213
650		4	\|a Epidemiological cut-off values \|7 (dpeaa)DE-He213
650		4	\|a MIC \|7 (dpeaa)DE-He213
650		4	\|a CLSI test protocols \|7 (dpeaa)DE-He213
650		4	\|a M49-A \|7 (dpeaa)DE-He213
650		4	\|a Precision \|7 (dpeaa)DE-He213
650		4	\|a Sample size \|7 (dpeaa)DE-He213
700	1		\|a Kronvall, Göran \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Aquaculture international \|d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 \|g 23(2014), 2 vom: 19. Aug., Seite 465-470 \|w (DE-627)306314045 \|w (DE-600)1496000-X \|x 1573-143X \|7 nnns
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912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2070
912			\|a GBV_ILN_2086
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2116
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2119
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2188
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2446
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2548
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4246
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4336
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
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952			\|d 23 \|j 2014 \|e 2 \|b 19 \|c 08 \|h 465-470

Indexfelder

author_variant	p s ps g k gk
matchkey_str	article:1573143X:2014----::omnsrisrrqietstnpdmooiactfvleomcauseemndobc
hierarchy_sort_str	2014
bklnumber	48.68
publishDate	2014
allfields	10.1007/s10499-014-9827-x doi (DE-627)SPR010524169 (SPR)s10499-014-9827-x-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.68 bkl Smith, Peter verfasserin aut How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Antibiotic susceptibility (dpeaa)DE-He213 Epidemiological cut-off values (dpeaa)DE-He213 MIC (dpeaa)DE-He213 CLSI test protocols (dpeaa)DE-He213 M49-A (dpeaa)DE-He213 Precision (dpeaa)DE-He213 Sample size (dpeaa)DE-He213 Kronvall, Göran verfasserin aut Enthalten in Aquaculture international Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 23(2014), 2 vom: 19. Aug., Seite 465-470 (DE-627)306314045 (DE-600)1496000-X 1573-143X nnns volume:23 year:2014 number:2 day:19 month:08 pages:465-470 https://dx.doi.org/10.1007/s10499-014-9827-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.68 ASE AR 23 2014 2 19 08 465-470
spelling	10.1007/s10499-014-9827-x doi (DE-627)SPR010524169 (SPR)s10499-014-9827-x-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.68 bkl Smith, Peter verfasserin aut How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Antibiotic susceptibility (dpeaa)DE-He213 Epidemiological cut-off values (dpeaa)DE-He213 MIC (dpeaa)DE-He213 CLSI test protocols (dpeaa)DE-He213 M49-A (dpeaa)DE-He213 Precision (dpeaa)DE-He213 Sample size (dpeaa)DE-He213 Kronvall, Göran verfasserin aut Enthalten in Aquaculture international Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 23(2014), 2 vom: 19. Aug., Seite 465-470 (DE-627)306314045 (DE-600)1496000-X 1573-143X nnns volume:23 year:2014 number:2 day:19 month:08 pages:465-470 https://dx.doi.org/10.1007/s10499-014-9827-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.68 ASE AR 23 2014 2 19 08 465-470
allfields_unstemmed	10.1007/s10499-014-9827-x doi (DE-627)SPR010524169 (SPR)s10499-014-9827-x-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.68 bkl Smith, Peter verfasserin aut How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Antibiotic susceptibility (dpeaa)DE-He213 Epidemiological cut-off values (dpeaa)DE-He213 MIC (dpeaa)DE-He213 CLSI test protocols (dpeaa)DE-He213 M49-A (dpeaa)DE-He213 Precision (dpeaa)DE-He213 Sample size (dpeaa)DE-He213 Kronvall, Göran verfasserin aut Enthalten in Aquaculture international Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 23(2014), 2 vom: 19. Aug., Seite 465-470 (DE-627)306314045 (DE-600)1496000-X 1573-143X nnns volume:23 year:2014 number:2 day:19 month:08 pages:465-470 https://dx.doi.org/10.1007/s10499-014-9827-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.68 ASE AR 23 2014 2 19 08 465-470
allfieldsGer	10.1007/s10499-014-9827-x doi (DE-627)SPR010524169 (SPR)s10499-014-9827-x-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.68 bkl Smith, Peter verfasserin aut How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Antibiotic susceptibility (dpeaa)DE-He213 Epidemiological cut-off values (dpeaa)DE-He213 MIC (dpeaa)DE-He213 CLSI test protocols (dpeaa)DE-He213 M49-A (dpeaa)DE-He213 Precision (dpeaa)DE-He213 Sample size (dpeaa)DE-He213 Kronvall, Göran verfasserin aut Enthalten in Aquaculture international Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 23(2014), 2 vom: 19. Aug., Seite 465-470 (DE-627)306314045 (DE-600)1496000-X 1573-143X nnns volume:23 year:2014 number:2 day:19 month:08 pages:465-470 https://dx.doi.org/10.1007/s10499-014-9827-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.68 ASE AR 23 2014 2 19 08 465-470
allfieldsSound	10.1007/s10499-014-9827-x doi (DE-627)SPR010524169 (SPR)s10499-014-9827-x-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.68 bkl Smith, Peter verfasserin aut How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals? 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Antibiotic susceptibility (dpeaa)DE-He213 Epidemiological cut-off values (dpeaa)DE-He213 MIC (dpeaa)DE-He213 CLSI test protocols (dpeaa)DE-He213 M49-A (dpeaa)DE-He213 Precision (dpeaa)DE-He213 Sample size (dpeaa)DE-He213 Kronvall, Göran verfasserin aut Enthalten in Aquaculture international Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 23(2014), 2 vom: 19. Aug., Seite 465-470 (DE-627)306314045 (DE-600)1496000-X 1573-143X nnns volume:23 year:2014 number:2 day:19 month:08 pages:465-470 https://dx.doi.org/10.1007/s10499-014-9827-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.68 ASE AR 23 2014 2 19 08 465-470
language	English
source	Enthalten in Aquaculture international 23(2014), 2 vom: 19. Aug., Seite 465-470 volume:23 year:2014 number:2 day:19 month:08 pages:465-470
sourceStr	Enthalten in Aquaculture international 23(2014), 2 vom: 19. Aug., Seite 465-470 volume:23 year:2014 number:2 day:19 month:08 pages:465-470
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Antibiotic susceptibility Epidemiological cut-off values MIC CLSI test protocols M49-A Precision Sample size
dewey-raw	630
isfreeaccess_bool	false
container_title	Aquaculture international
authorswithroles_txt_mv	Smith, Peter @@aut@@ Kronvall, Göran @@aut@@
publishDateDaySort_date	2014-08-19T00:00:00Z
hierarchy_top_id	306314045
dewey-sort	3630
id	SPR010524169
language_de	englisch
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author	Smith, Peter
spellingShingle	Smith, Peter ddc 630 bkl 48.68 misc Antibiotic susceptibility misc Epidemiological cut-off values misc MIC misc CLSI test protocols misc M49-A misc Precision misc Sample size 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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topic_title	630 640 ASE 48.68 bkl How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals? Antibiotic susceptibility (dpeaa)DE-He213 Epidemiological cut-off values (dpeaa)DE-He213 MIC (dpeaa)DE-He213 CLSI test protocols (dpeaa)DE-He213 M49-A (dpeaa)DE-He213 Precision (dpeaa)DE-He213 Sample size (dpeaa)DE-He213
topic	ddc 630 bkl 48.68 misc Antibiotic susceptibility misc Epidemiological cut-off values misc MIC misc CLSI test protocols misc M49-A misc Precision misc Sample size
topic_unstemmed	ddc 630 bkl 48.68 misc Antibiotic susceptibility misc Epidemiological cut-off values misc MIC misc CLSI test protocols misc M49-A misc Precision misc Sample size
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title	How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals?
ctrlnum	(DE-627)SPR010524169 (SPR)s10499-014-9827-x-e
title_full	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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title_sort	how many strains are required to set an epidemiological cut-off value for mic values determined for bacteria isolated from aquatic animals?
title_auth	How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals?
abstract	Abstract 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.
abstractGer	Abstract 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.
abstract_unstemmed	Abstract 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.
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container_issue	2
title_short	How many strains are required to set an epidemiological cut-off value for MIC values determined for bacteria isolated from aquatic animals?
url	https://dx.doi.org/10.1007/s10499-014-9827-x
remote_bool	true
author2	Kronvall, Göran
author2Str	Kronvall, Göran
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doi_str	10.1007/s10499-014-9827-x
up_date	2024-07-03T16:40:56.993Z
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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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