Population distributions of minimum inhibitory concentration - Increasing accuracy and utility

Journal of Applied Microbiology

Volumn 100, Issue 5, 2006, Pages 999-1010

  Lambert, R J W ^a   Lambert, R ^a  

^a R2 Scientific   (United Kingdom)

Author keywords

Antibiotic resistance; BSAC; EUCAST; Minimum inhibitory concentration; MYSTIC; Surveillance

Indexed keywords

BACTERIA; DATA VISUALIZATION; MICROWAVE INTEGRATED CIRCUITS; MONTE CARLO METHODS; NORMAL DISTRIBUTION; POPULATION STATISTICS;

ANTIBIOTICS RESISTANCE; BSAC; CONCENTRATION DATA; CONTINUOUS DISTRIBUTION; EUCAST; LOGISTIC EQUATIONS; MINIMUM INHIBITORY CONCENTRATION; MONTE CARLO'S SIMULATION; MYSTIC; SURVEILLANCE;

POPULATION DISTRIBUTION;

AMIKACIN; AMOXICILLIN; AMOXICILLIN PLUS CLAVULANIC ACID; AMPICILLIN; ANTIINFECTIVE AGENT; CEFACLOR; CEFOTAXIME; CEFUROXIME; CIPROFLOXACIN; ERYTHROMYCIN; GENTAMICIN; LEVOFLOXACIN; LINEZOLID; MINOCYCLINE; MOXIFLOXACIN; NETILMICIN; NORFLOXACIN; OFLOXACIN; TEICOPLANIN; TETRACYCLINE; TOBRAMYCIN; TRIMETHOPRIM; VANCOMYCIN;

ANTIMICROBIAL ACTIVITY; COMPUTER SIMULATION; DATABASE; INHIBITOR; MONTE CARLO ANALYSIS; POPULATION DISTRIBUTION; VISUALIZATION;

ACCURACY; ANTIBIOTIC SENSITIVITY; ARTICLE; BACTERIAL COLONIZATION; BACTERIUM ISOLATE; CONCENTRATION RESPONSE; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; HAEMOPHILUS INFLUENZAE; MINIMUM INHIBITORY CONCENTRATION; MONTE CARLO METHOD; MORAXELLA CATARRHALIS; NONHUMAN; STAPHYLOCOCCUS AUREUS; STATISTICAL MODEL; STREPTOCOCCUS PNEUMONIAE;

BACTERIA (MICROORGANISMS); HAEMOPHILUS INFLUENZAE; MORAXELLA CATARRHALIS; STAPHYLOCOCCUS AUREUS; STREPTOCOCCUS PNEUMONIAE;

EID: 33645887239     PISSN: 13645072     EISSN: 13652672     Source Type: Journal    
DOI: 10.1111/j.1365-2672.2006.02842.x     Document Type: Article

References (9)

1. Andrews J.M. 2001 Determination of minimum inhibitory concentrations. J Antimicrob Chemother 48 Suppl. S1 5 16.
2. Butler D.L. Gagnon R.C. Miller L.A. Poupard J.A. Felmingham D. Gruneberg R.N. 1999 Differences between the activity of penicillin, amoxycillin, and co-amoxyclav against 5252 Streptococcus pneumoniae isolates tested in the Alexander Project 1992-1996. J Antimicrob Chemother 43 777 782.
3. Felmingham D. 2002 The need for antimicrobial resistance surveillance. J Antimicrob Chemother 50 Suppl. S1 1 7.
4. Hanberger H. Nilsson L.E. Claesson B. Kärnell A. Larsson P. Rylander M. Svensson E. Sörberg M. et al. 1999 New species-related MIC breakpoints for early detection of development of resistance among Gram-negative bacteria in Swedish intensive care units. J Antimicrob Chemother 44 611 619.
5. Lambert R.J.W. 2004 Comparative analysis of antibiotic and antimicrobial biocide susceptibility data in clinical isolates of methicillin-sensitive Staphylococcus aureus, methicillin-resistant Staphylococcus aureus and Pseudomonas aeruginosa between 1989 and 2000. J Appl Microbiol 97 699 711.
6. Lewis D. 2002 Antimicrobial resistance surveillance: methods will depend on objectives. J Antimicrob Chemother 49 3 5.
7. MacGowan A.P. Wise R. 2001 Establishing MIC breakpoints and the interpretation of in vitro susceptibility tests. J Antimicrob Chemother 48 Suppl. S1 17 28.
8. Morris A.K. Masterton R.G. 2002 Antibiotic resistance surveillance: action for international studies. J Antimicrob Chemother 49 7 10.
9. Mouton J.W. 2002 Breakpoints: current practice and future perspectives. Int J Antimicrob Agents 19 323 331.