Literature DB >> 8897164

Development of interpretive criteria and quality control limits for macrolide and clindamycin susceptibility testing of Streptococcus pneumoniae.

J H Jorgensen1, J M Swenson, F C Tenover, A Barry, M J Ferraro, P R Murray, L B Reller.   

Abstract

A six-laboratory collaborative study was conducted to develop MIC and zone diameter quality control limits and interpretive criteria for antimicrobial susceptibility testing of Streptococcus pneumoniae with azithromycin, clarithromycin, dirithromycin, and clindamycin. The MICs of all of the agents plus erythromycin for 302 clinical isolates of pneumococci that had been selected with an emphasis on resistant strains were determined by use of the National Committee for Clinical Laboratory Standards (NCCLS)-recommended broth microdilution procedure. The zone diameters of the isolates were also determined for the same agents except erythromycin by the NCCLS disk diffusion test procedure. Repeated testing of S. pneumoniae ATCC 49619 with different sources and lots of media and disks allowed development of MIC and zone diameter quality control ranges for these agents. Interpretive criteria for the MIC of azithromycin were established and were as follows: susceptible, < or = 0.5 microgram/ml; intermediate, 1 microgram/ml; and resistant, > or = 2 micrograms/ml. The interpretive criteria advocated for the MICs of clarithromycin and clindamycin were as follows: susceptible, < or = 0.25 microgram/ml; intermediate, 0.5 microgram/ml; and resistant, > or = 1 microgram/ml. Comparison of MICs and disk diffusion zone diameters led to the development of interpretive criteria for the zone diameters for azithromycin, clarithromycin, and clindamycin that correlated well with these MIC breakpoints. Testing of this organism collection also led to the reestablishment of the erythromycin MIC breakpoints as being identical to those of clarithromycin, which resulted in equivalent cross-susceptibility and cross-resistance for the three macrolides that are currently marketed in the United States. Thus, the susceptibility of pneumococci to azithromycin and clarithromycin can be predicted accurately by testing only erythromycin in clinical laboratories. This recommendation, as well as the interpretive and quality control criteria that are described, have been accepted by NCCLS and are included in the latest NCCLS susceptibility testing guidelines.

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Year:  1996        PMID: 8897164      PMCID: PMC229385          DOI: 10.1128/jcm.34.11.2679-2684.1996

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  12 in total

Review 1.  New directions for macrolide antibiotics: structural modifications and in vitro activity.

Authors:  H A Kirst; G D Sides
Journal:  Antimicrob Agents Chemother       Date:  1989-09       Impact factor: 5.191

Review 2.  Treatment and diagnosis of infections caused by drug-resistant Streptococcus pneumoniae.

Authors:  M R Jacobs
Journal:  Clin Infect Dis       Date:  1992-07       Impact factor: 9.079

3.  Susceptibility tests of anaerobic bacteria: statistical and clinical considerations.

Authors:  C M Metzler; R M DeHaan
Journal:  J Infect Dis       Date:  1974-12       Impact factor: 5.226

4.  Development of interpretive criteria and quality control limits for broth microdilution and disk diffusion antimicrobial susceptibility testing of Streptococcus pneumoniae.

Authors:  J H Jorgensen; J M Swenson; F C Tenover; M J Ferraro; J A Hindler; P R Murray
Journal:  J Clin Microbiol       Date:  1994-10       Impact factor: 5.948

5.  Quality control limits for ampicillin, carbenicillin, mezlocillin, and piperacillin disk diffusion susceptibility tests: a collaborative study.

Authors:  T L Gavan; R N Jones; A L Barry; P C Fuchs; E H Gerlach; J M Matsen; L B Reller; C Thornsberry; L D Thrupp
Journal:  J Clin Microbiol       Date:  1981-07       Impact factor: 5.948

Review 6.  Pneumococcal resistance to antibiotics.

Authors:  K P Klugman
Journal:  Clin Microbiol Rev       Date:  1990-04       Impact factor: 26.132

7.  Emergence of drug-resistant pneumococcal infections in the United States.

Authors:  R F Breiman; J C Butler; F C Tenover; J A Elliott; R R Facklam
Journal:  JAMA       Date:  1994-06-15       Impact factor: 56.272

8.  Comparative activities of clarithromycin, erythromycin, and azithromycin against penicillin-susceptible and penicillin-resistant pneumococci.

Authors:  L M Ednie; M A Visalli; M R Jacobs; P C Appelbaum
Journal:  Antimicrob Agents Chemother       Date:  1996-08       Impact factor: 5.191

Review 9.  Management of infections caused by antibiotic-resistant Streptococcus pneumoniae.

Authors:  I R Friedland; G H McCracken
Journal:  N Engl J Med       Date:  1994-08-11       Impact factor: 91.245

10.  The prevalence of drug-resistant Streptococcus pneumoniae in Atlanta.

Authors:  J Hofmann; M S Cetron; M M Farley; W S Baughman; R R Facklam; J A Elliott; K A Deaver; R F Breiman
Journal:  N Engl J Med       Date:  1995-08-24       Impact factor: 91.245

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  6 in total

1.  Biographical Feature: James Jorgensen, Ph.D.

Authors: 
Journal:  J Clin Microbiol       Date:  2015-06-03       Impact factor: 5.948

2.  Use of clindamycin disks To detect macrolide resistance mediated by ermB and mefE in Streptococcus pneumoniae isolates from adults and children.

Authors:  K Waites; C Johnson; B Gray; K Edwards; M Crain; W Benjamin
Journal:  J Clin Microbiol       Date:  2000-05       Impact factor: 5.948

3.  Evaluation of the Dade MicroScan MICroSTREP antimicrobial susceptibility testing panel with selected Streptococcus pneumoniae challenge strains and recent clinical isolates.

Authors:  J H Jorgensen; M L McElmeel; S A Crawford
Journal:  J Clin Microbiol       Date:  1998-03       Impact factor: 5.948

4.  Quantitative Proteomics Reveals that Hsp90 Inhibition Dynamically Regulates Global Protein Synthesis in Leishmania mexicana.

Authors:  Karunakaran Kalesh; Sandeep Sundriyal; Hirunika Perera; Steven L Cobb; Paul W Denny
Journal:  mSystems       Date:  2021-05-11       Impact factor: 6.496

5.  Comparative molecular dynamics simulations of mitogen-activated protein kinase-activated protein kinase 5.

Authors:  Inger Lindin; Yimingjiang Wuxiuer; Aina Westrheim Ravna; Ugo Moens; Ingebrigt Sylte
Journal:  Int J Mol Sci       Date:  2014-03-19       Impact factor: 5.923

6.  Homology modeling and ligand docking of Mitogen-activated protein kinase-activated protein kinase 5 (MK5).

Authors:  Inger Lindin; Yimingjiang Wuxiuer; Irina Kufareva; Ruben Abagyan; Ugo Moens; Ingebrigt Sylte; Aina Westrheim Ravna
Journal:  Theor Biol Med Model       Date:  2013-09-14       Impact factor: 2.432

  6 in total

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