title: Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data--The Influence of Different Parameters in a Routine Clinical Microbiology Laboratory.
abstract: BACKGROUND
  Many clinical microbiology laboratories report on cumulative antimicrobial susceptibility testing (cAST) data on a regular basis. Criteria for generation of cAST reports, however, are often obscure and inconsistent. Whereas the CLSI has published a guideline for analysis and presentation of cAST data, national guidelines directed at clinical microbiology laboratories are not available in Europe. Thus, we sought to describe the influence of different parameters in the process of cAST data analysis in the setting of a German routine clinical microbiology laboratory during 2 consecutive years.
  
  
  METHODS
  We developed various program scripts to assess the consequences ensuing from different algorithms for calculation of cumulative antibiograms from the data collected in our clinical microbiology laboratory in 2013 and 2014.
  
  
  RESULTS
  One of the most pronounced effects was caused by exclusion of screening cultures for multi-drug resistant organisms which decreased the MRSA rate in some cases to one third. Dependent on the handling of duplicate isolates, i.e. isolates of the same species recovered from successive cultures on the same patient during the time period analyzed, we recorded differences in resistance rates of up to 5 percentage points for S. aureus, E. coli and K. pneumoniae and up to 10 percentage points for P. aeruginosa. Stratification by site of care and specimen type, testing of antimicrobials selectively on resistant isolates, change of interpretation rules and analysis at genus level instead of species level resulted in further changes of calculated antimicrobial resistance rates.
  
  
  CONCLUSIONS
  The choice of parameters for cAST data analysis may have a substantial influence on calculated antimicrobial resistance rates. Consequently, comparability of cAST reports from different clinical microbiology laboratories may be limited. We suggest that laboratories communicate the strategy used for cAST data analysis as long as national guidelines for standardized cAST data analysis and reporting do not exist in Europe.
authors.affiliation: Department of Medical Microbiology, Ruhr-University Bochum, Bochum, Germany.|Institute of Medical Laboratory Diagnostics (IML) Bochum GmbH, Bochum, Germany.
authors.forename: Rebekka
authors.initials: R
authors.lastname: Kohlmann
authors.affiliation: Department of Medical Microbiology, Ruhr-University Bochum, Bochum, Germany.|Institute of Medical Laboratory Diagnostics (IML) Bochum GmbH, Bochum, Germany.
authors.forename: Sören G
authors.initials: SG
authors.lastname: Gatermann
mesh_terms: D000465:Algorithms; D000890:Anti-Infective Agents / Q000494:pharmacology; D024881:Drug Resistance, Bacterial; D004926:Escherichia coli / Q000187:drug effects / Q000302:isolation & purification; D006801:Humans; D007362:Intensive Care Units; D007711:Klebsiella pneumoniae / Q000187:drug effects / Q000302:isolation & purification; D007755:Laboratories, Hospital / Q000592:standards*; D055624:Methicillin-Resistant Staphylococcus aureus / Q000187:drug effects / Q000302:isolation & purification; D008826:Microbial Sensitivity Tests; D011550:Pseudomonas aeruginosa / Q000187:drug effects / Q000302:isolation & purification; D013211:Staphylococcus aureus / Q000187:drug effects / Q000302:isolation & purification
chemical_list: D000890:Anti-Infective Agents
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