1887

Abstract

To improve time to identification of pathogens and detection of resistance genes, we evaluated the BioFire FilmArray Blood Culture Identification Panel (BCID) as compared to: (1) direct MALDI-TOF MS (DM) and (2) standardized culture-based identification (ID) with antibiotic susceptibility testing (AST). BCID gave an accurate identification in 102/112 (91 %) of cases (102/103 for on-panel organisms). DM gave an accurate identification in 91/112 (81 %) of cases, with 13/91 (14 %) requiring repeat testing from the residual pellet. The mean time to an identification result was 2.4 and 2.9 h for BCID and DM, respectively. Standardized ID and AST results were available at a mean time of 26.5 and 33 h, respectively. There were 44 BCID/DM results that had an antimicrobial treatment change made based on rapid identification and resistant gene detection of pathogens. Both BCID and DM are accurate and rapid methods for the identification of new positive blood culture pathogens.

Loading

Article metrics loading...

/content/journal/jmm/10.1099/jmm.0.000802
2018-07-20
2024-03-29
Loading full text...

Full text loading...

/deliver/fulltext/jmm/67/9/1253.html?itemId=/content/journal/jmm/10.1099/jmm.0.000802&mimeType=html&fmt=ahah

References

  1. Klevens RM, Edwards JR, Gaynes RP. National Nosocomial Infections Surveillance System The impact of antimicrobial-resistant, health care-associated infections on mortality in the United States. Clin Infect Dis 2008; 47:927–930 [View Article][PubMed]
    [Google Scholar]
  2. Hall MJ, Levant S, Defrances CJ. Trends in inpatient hospital deaths: National Hospital Discharge Survey, 2000–2010. NCHS Data Brief 2013; 118:1–8[PubMed]
    [Google Scholar]
  3. Kumar A, Roberts D, Wood KE, Light B, Parrillo JE et al. Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock. Crit Care Med 2006; 34:1589–1596 [View Article][PubMed]
    [Google Scholar]
  4. Kaye KS, Marchaim D, Chen TY, Baures T, Anderson DJ et al. Effect of nosocomial bloodstream infections on mortality, length of stay, and hospital costs in older adults. J Am Geriatr Soc 2014; 62:306–311 [View Article][PubMed]
    [Google Scholar]
  5. Elixhauser A, Friedman B, Stranges E. Septicemia in U.S. Hospitals, 2009: Statistical Brief #122 MD: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs Rockville; 2006
    [Google Scholar]
  6. Rand KH, Delano JP. Direct identification of bacteria in positive blood cultures: comparison of two rapid methods, FilmArray and mass spectrometry. Diagn Microbiol Infect Dis 2014; 79:293–297 [View Article]
    [Google Scholar]
  7. Salimnia H, Fairfax MR, Lephart PR, Schreckenberger P, Desjarlais SM et al. Evaluation of the FilmArray blood culture identification panel: results of a multicenter controlled trial. J Clin Microbiol 2016; 54:687–698 [View Article]
    [Google Scholar]
  8. Fiori B, D'Inzeo T, Giaquinto A, Menchinelli G, Liotti FM et al. Optimized Use of the MALDI BioTyper System and the FilmArray BCID Panel for direct identification of microbial pathogens from positive blood cultures. J Clin Microbiol 2016; 54:576–584 [View Article]
    [Google Scholar]
  9. Fothergill A, Kasinathan V, Hyman J, Walsh J, Drake T et al. Rapid identification of bacteria and yeasts from positive-blood-culture bottles by using a lysis-filtration method and matrix-assisted laser desorption ionization-time of flight mass spectrum analysis with the SARAMIS database. J Clin Microbiol 2013; 51:805–809 [View Article][PubMed]
    [Google Scholar]
  10. Thomin J, Aubin GG, Foubert F, Corvec S. Assessment of four protocols for rapid bacterial identification from positive blood culture pellets by matrix-assisted laser desorption ionization-time of flight mass spectrometry (Vitek® MS). J Microbiol Methods 2015; 115:54–56 [View Article]
    [Google Scholar]
  11. Blaschke AJ, Heyrend C, Byington CL, Fisher MA, Barker E et al. Rapid identification of pathogens from positive blood cultures by multiplex polymerase chain reaction using the FilmArray system. Diagn Microbiol Infect Dis 2012; 74:349–355 [View Article]
    [Google Scholar]
  12. Southern TR, Vanschooneveld TC, Bannister DL, Brown TL, Crismon AS et al. Implementation and performance of the BioFire FilmArray® blood culture identification panel with antimicrobial treatment recommendations for bloodstream infections at a midwestern academic tertiary hospital. Diagn Microbiol Infect Dis 2015; 81:96–101 [View Article]
    [Google Scholar]
  13. Pardo J, Klinker KP, Borgert SJ, Butler BM, Giglio PG et al. Clinical and economic impact of antimicrobial stewardship interventions with the FilmArray blood culture identification panel. Diagn Microbiol Infect Dis 2016; 84:159–164 [View Article]
    [Google Scholar]
  14. MacVane SH, Nolte FS. Benefits of adding a rapid PCR-based blood culture identification panel to an established antimicrobial stewardship program. J Clin Microbiol 2016; 54:2455–2463 [View Article]
    [Google Scholar]
  15. Martiny D, Debaugnies F, Gateff D, Gérard M, Aoun M et al. Impact of rapid microbial identification directly from positive blood cultures using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry on patient management. Clinical Microbiol Infect 2013; 19:E568E581 [View Article]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/jmm/10.1099/jmm.0.000802
Loading
/content/journal/jmm/10.1099/jmm.0.000802
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error