Literature DB >> 19020068

Results of use of WHO Global Salm-Surv external quality assurance system for antimicrobial susceptibility testing of Salmonella isolates from 2000 to 2007.

Rene S Hendriksen1, Anne Mette Seyfarth, Arne B Jensen, Jean Whichard, Susanne Karlsmose, Kevin Joyce, Matthew Mikoleit, Stephanie M Delong, François-Xavier Weill, Awa Aidara-Kane, Danilo M A Lo Fo Wong, Frederick J Angulo, Henrik C Wegener, Frank M Aarestrup.   

Abstract

An international External Quality Assurance System (EQAS) for antimicrobial susceptibility testing of Salmonella was initiated in 2000 by the World Health Organization (WHO) Global Salm-Surv in order to enhance the capacities of national reference laboratories to obtain reliable data for surveillance purposes worldwide. Seven EQAS iterations have been conducted from 2000 to 2007. In each iteration, participating laboratories submitted susceptibility results from 10 to 15 antimicrobial agents for eight Salmonella isolates and an Escherichia coli reference strain (ATCC 25922). A total of 287 laboratories in 102 countries participated in at least one EQAS iteration. A large number of laboratories reported results for the E. coli ATCC 25922 reference strain which were outside the quality control ranges. Critical deviations for susceptibility testing of the Salmonella isolates varied from 4% in 2000 to 3% in 2007. Consistent difficulties were observed in susceptibility testing of amoxicillin-clavulanic acid, cefotaxime, ceftazidime, streptomycin, sulfonamides, and tetracycline. Regional variations in performance were observed, with laboratories in central Asia, Africa, and the Middle East not performing as well as those in other regions. Results from the WHO Global Salm-Surv EQAS show that most laboratories worldwide are capable of correctly performing antimicrobial susceptibility testing of Salmonella isolates, but they also indicate that further improvement for some laboratories is needed. In particular, further training and dissemination of information on quality control, appropriate interpretive criteria (breakpoints), and harmonization of the methodology worldwide through WHO Global Salm-Surv and other programs will contribute to the generation of comparable and reliable antimicrobial susceptibility data.

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Year:  2008        PMID: 19020068      PMCID: PMC2620846          DOI: 10.1128/JCM.00894-08

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


  5 in total

1.  Quality assurance of antimicrobial susceptibility testing by disc diffusion.

Authors:  A King; D F Brown
Journal:  J Antimicrob Chemother       Date:  2001-07       Impact factor: 5.790

2.  WHO global salm-surv external quality assurance system (EQAS): an important step toward improving the quality of Salmonella serotyping and antimicrobial susceptibility testing worldwide.

Authors:  Anne Petersen; Frank M Aarestrup; Frederick J Angulo; Stephanie Wong; Klaus Stöhr; Henrik C Wegener
Journal:  Microb Drug Resist       Date:  2002       Impact factor: 3.431

3.  Apparent differences in antimicrobial susceptibility as a consequence of national guidelines.

Authors:  T M Leegaard; D A Caugant; L O Frøholm; E A Høiby
Journal:  Clin Microbiol Infect       Date:  2000-06       Impact factor: 8.067

4.  External quality assurance system for antibiotic resistance in bacteria of animal origin in Europe (ARBAO-II), 2003.

Authors:  Danilo M A Lo Fo Wong; Rene S Hendriksen; Dik J Mevius; Kees T Veldman; Frank M Aarestrup
Journal:  Vet Microbiol       Date:  2006-01-30       Impact factor: 3.293

Review 5.  Human health consequences of antimicrobial drug-resistant Salmonella and other foodborne pathogens.

Authors:  Kåre Mølbak
Journal:  Clin Infect Dis       Date:  2005-10-21       Impact factor: 9.079

  5 in total
  10 in total

Review 1.  Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective.

Authors:  Jee In Kim; Finlay Maguire; Kara K Tsang; Theodore Gouliouris; Sharon J Peacock; Tim A McAllister; Andrew G McArthur; Robert G Beiko
Journal:  Clin Microbiol Rev       Date:  2022-05-25       Impact factor: 50.129

2.  WHO Global Salm-Surv external quality assurance system for serotyping of Salmonella isolates from 2000 to 2007.

Authors:  Rene S Hendriksen; Matthew Mikoleit; Valeria P Carlson; Susanne Karlsmose; Antonio R Vieira; Arne B Jensen; Anne Mette Seyfarth; Stephanie M DeLong; François-Xavier Weill; Danilo Marino Armando Lo Fo Wong; Frederick J Angulo; Henrik C Wegener; Frank M Aarestrup
Journal:  J Clin Microbiol       Date:  2009-07-01       Impact factor: 5.948

3.  Proficiency of WHO Global Foodborne Infections Network External Quality Assurance System Participants in Identification and Susceptibility Testing of Thermotolerant Campylobacter spp. from 2003 to 2012.

Authors:  Susanne Karlsmose Pedersen; Jaap A Wagenaar; Håkan Vigre; Louise Roer; Matthew Mikoleit; Awa Aidara-Kane; Amy L Cawthorne; Frank M Aarestrup; Rene S Hendriksen
Journal:  J Clin Microbiol       Date:  2018-10-25       Impact factor: 5.948

4.  Identification of acquired antimicrobial resistance genes.

Authors:  Ea Zankari; Henrik Hasman; Salvatore Cosentino; Martin Vestergaard; Simon Rasmussen; Ole Lund; Frank M Aarestrup; Mette Voldby Larsen
Journal:  J Antimicrob Chemother       Date:  2012-07-10       Impact factor: 5.790

5.  Characterization of Salmonella occurring at high prevalence in a population of the land iguana Conolophus subcristatus in Galápagos Islands, Ecuador.

Authors:  Alessia Franco; Rene S Hendriksen; Serena Lorenzetti; Roberta Onorati; Gabriele Gentile; Giacomo Dell'Omo; Frank M Aarestrup; Antonio Battisti
Journal:  PLoS One       Date:  2011-08-10       Impact factor: 3.240

Review 6.  Using Genomics to Track Global Antimicrobial Resistance.

Authors:  Rene S Hendriksen; Valeria Bortolaia; Heather Tate; Gregory H Tyson; Frank M Aarestrup; Patrick F McDermott
Journal:  Front Public Health       Date:  2019-09-04

7.  ResFinder - an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes.

Authors:  Alfred Ferrer Florensa; Rolf Sommer Kaas; Philip Thomas Lanken Conradsen Clausen; Derya Aytan-Aktug; Frank M Aarestrup
Journal:  Microb Genom       Date:  2022-01

8.  ResFinder 4.0 for predictions of phenotypes from genotypes.

Authors:  Valeria Bortolaia; Rolf S Kaas; Etienne Ruppe; Marilyn C Roberts; Stefan Schwarz; Vincent Cattoir; Alain Philippon; Rosa L Allesoe; Ana Rita Rebelo; Alfred Ferrer Florensa; Linda Fagelhauer; Trinad Chakraborty; Bernd Neumann; Guido Werner; Jennifer K Bender; Kerstin Stingl; Minh Nguyen; Jasmine Coppens; Basil Britto Xavier; Surbhi Malhotra-Kumar; Henrik Westh; Mette Pinholt; Muna F Anjum; Nicholas A Duggett; Isabelle Kempf; Suvi Nykäsenoja; Satu Olkkola; Kinga Wieczorek; Ana Amaro; Lurdes Clemente; Joël Mossong; Serge Losch; Catherine Ragimbeau; Ole Lund; Frank M Aarestrup
Journal:  J Antimicrob Chemother       Date:  2020-12-01       Impact factor: 5.790

9.  Culture-Independent Genotyping, Virulence and Antimicrobial Resistance Gene Identification of Staphylococcus aureus from Orthopaedic Implant-Associated Infections.

Authors:  J Christopher Noone; Fabienne Antunes Ferreira; Hege Vangstein Aamot
Journal:  Microorganisms       Date:  2021-03-30

Review 10.  Mapping the coverage, availability and uptake of External Quality Assessment programmes across One Health sectors in Asia.

Authors:  Ondari D Mogeni; Freshwork Ayalew Abegaz; Jong-Hoon Kim; Hea Sun Joh; Vicky Gaedt Kastbjerg; Susanne Karlsmose Pedersen; Rene S Hendriksen; Marianne Holm
Journal:  J Antimicrob Chemother       Date:  2021-12-24       Impact factor: 5.790

  10 in total

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