Skip to main content
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
letter
. 2015 Jul 20;53(8):2790–2792. doi: 10.1128/JCM.01333-15

Evaluation of the FilmArray Blood Culture ID Panel on Biofilms Dislodged from Explanted Arthroplasties for Prosthetic Joint Infection Diagnosis

Shawn Vasoo a,b,c, Scott A Cunningham c, Kerryl E Greenwood-Quaintance c, Jayawant N Mandrekar d, Arlen D Hanssen e, Matthew P Abdel e, Douglas R Osmon a, Elie F Berbari a, Robin Patel a,c,
Editor: B A Forbes
PMCID: PMC4508451  PMID: 26019200

LETTER

The FilmArray Blood Culture ID (BCID) panel (BioFire Diagnostics, Inc., Salt Lake City, UT) is an FDA-cleared multiplex PCR panel for pathogen identification from positive blood culture bottles. We assessed its performance with sonicate fluid for prosthetic joint infection (PJI) diagnosis.

(This study was presented in part at the 54th Interscience Conference on Antimicrobial Agents and Chemotherapy, 5 to 9 September 2014, Washington, DC.)

Definitions of PJI and significant cultures were as previously described (1, 2). Limits of detection from spiking studies with laboratory reference isolates were 7.5 × 102, 9.3 × 105, and 1.15 × 105 CFU/ml for Staphylococcus aureus IDRL-6169, Staphylococcus epidermidis IDRL-7173, and Escherichia coli IDRL-7029, respectively (specimen volume, 250 μl). Clinical performance was evaluated by using 216 nonduplicate hip and knee sonicate fluid samples (98 PJI cases, 118 aseptic joint failures) collected between 20 April 2006 and 14 May 2011, stored at −70°C, and thawed once for analysis. Included were 14 cases of polymicrobial PJI (median, 2 pathogens; range, 2 to 7), 69 cases of monomicrobial PJI, and 15 cases of PJI with no pathogens detected by culture or molecular methods.

The overall sensitivities of the BCID panel and sonicate fluid culture for PJI diagnosis were 53 and 69%, respectively (McNemar's test, P = 0.004). Considering only specimens with organisms represented in the panel, sensitivities were not statistically significantly different (sensitivities: BCID panel, 58%; sonicate fluid culture, 69% [P = 0.09]). For culture-positive PJI with pathogens represented in the panel, the overall BCID panel sensitivity was 71%. The BCID panel specificity was 99%. A single BCID Candida parapsilosis-positive specimen from a patient with aseptic failure grew Clostridium beijerinckii (<20 CFU/10 ml, considered a contaminant), suggesting extraneous contamination.

Additionally, we assessed the pathogen-specific performance of the BCID panel. For comparison, we included culture results, as well as those of 16S rRNA gene PCR assay, a 10-assay PCR panel, and PCR-electrospray ionization/mass spectrometry (PCR-ESI/MS) from our previous work (24) (Table 1). The BCID panel performed comparably to sonicate culture for most pathogens, missing only two Enterococcus infections and one Pseudomonas aeruginosa infection, but detected two additional S. aureus infections. However, its sensitivity for coagulase-negative staphylococci (SCN) was quite low (54%). Diminished sensitivity for SCN is likely because the panel is optimized for blood culture bottles; its performance is also known to vary with different species of SCN (5).

TABLE 1.

Pathogen-specific sensitivities of the BCID panel, culture, 16S rRNA gene PCR, 10-assay PCR panel, and PCR-ESI/MS

Pathogen (no. of isolates) No. of isolates detected/total (% sensitivity)
Sonicate fluid culture (>20 CFU/10 ml)e Intraoperative tissue or fluid culture (≥2 specimens) Preoperative synovial fluid culture FilmArray BCIDe 16S rRNA gene PCRe 10-assay real-time PCR panele PCR-ESI/MSe
Pathogensi represented in BCID panela
    Candida albicans (2) 1/2 (50) 1/2 (50) 1/1 (100) 2/2 (100) NAh NA 1/2 (50)
    Enterobacter cloacae (1) 0/1 (0) 0/1 (0) 0/1 (0) 1/1 (100) 0/1 (0) 1/1 (100) 1/1 (100)
    Escherichia coli (4) 3/4 (75) 4/4 (100) 2/4 (50) 4/4 (100) 4/4 (100) 4/4 (100) 3/4 (100)
    Enterococcus species (8) 8/8 (100) 6/8 (75) 5/5 (100) 6/8 (75)b 6/8 (75) 8/8 (100) 5/8 (60)
    Streptococcus agalactiae (3) 2/3 (67) 2/3 (67) 1/1 (100) 3/3 (100) 3/3 (100) 3/3 (100) 3/3 (100)
    Group C Streptococcus species (1) 1/1 (100) 1/1 (100) NDg 1/1 (100) 1/1 (100) 1/1 (100) 1/1 (100)
    Group G Streptococcus species (1) 1/1 (100) 1/1 (100) 0/1 (0) 1/1 (100) 1/1 (100) 1/1 (100) 0/1 (0)f
    Klebsiella pneumoniae (1) 0/1 (0) 0/1(0) ND 1/1 (100) 1/1 (100) 1/1 (100) 0/1 (0)
    Pseudomonas aeruginosa (4) 3/4 (75) 4/4 (100) 1/1 (100) 2/4 (50) 4/4 (100) 4/4 (100) 3/4 (75)
    Serratia species (1) 0/1 (0) 0/1 (0) 0/1 (0) 0/1 (0) 1/1 (100) 1/1 (100) 1/1 (100)
    Staphylococcus aureus (20) 16/20 (80) 19/20 (95) 7/9 (78) 18/20 (90)c 14/20 (70) 17/20 (85) 19/20 (95)
    SCN (40)d 32/40 (83) 33/40 (33) 21/28 (75) 20/37 (54)d 33/39 (85) 35/38 (92) 34/40 (85)
    Viridans group streptococci (2) 1/2 (50) 1/2 (100) 0/1 (0) 1/2 (50) 1/2 (50) 2/2 (100) 2/2 (100)
Pathogensj not represented in BCID panel
    Abiotrophia/Granulicatella species (2) 2/2 (100) 2/2 (100) 0/1 (0) NA 1/2(50) 1/2 (50) 1/2 (50)
    Actinomyces species (4) 3/4 (75) 2/4 (50) 1/1 (100) NA 1/4 (25) 3/4 (75) 1/4 (25)
    Capnocytophaga species (1) 1/1 (100) 1/1 (100) 1/1 (100) NA 0/1 (0) NA 1/1 (100)
    Corynebacterium species (4) 1/4 (25) 3/4 (75) 1/4 (25) NA 1/4 (25) 1/4 (25) 0/4 (0)
    Finegoldia magna (6) 6/6 (100) 5/6 (83) 0/4 (0) NA 3/5(60) 6/6 (100) 4/6 (67)
    Mycobacterium abscessus (1) 0/1 (0) 1/1 (100) 1/1 (100) NA 0/1 (0) NA 0/1 (0)
    Prevotella melaninogenica (1) 1/1 (100) 1/1 (100) ND NA 1/1 (100) NA 1/1 (100)
    Propionibacterium acnes (5) 3/5 (60) 2/5 (40) 2/4 (50) NA 3/5 (60) 3/5 (60) 5/5 (100)
    Veillonella species (1) 0/1 (0) 1/1 (100) ND NA 0/1 (0) NA 0/1 (0)
a

The BCID panel targets Enterococcus species, Listeria monocytogenes, Staphylococcus species (including a specific assay for S. aureus), Streptococcus species (including specific assays for Streptococcus agalactiae, Streptococcus pyogenes, and Streptococcus pneumoniae), Acinetobacter baumannii, Haemophilus influenzae, Neisseria meningitidis, Pseudomonas aeruginosa, Enterobacteriaceae (including specific assays for Enterobacter cloacae, Escherichia coli, Klebsiella oxytoca, Klebsiella pneumoniae, Proteus species, and Serratia marcescens), Candida albicans, Candida glabrata, Candida krusei, Candida parapsilosis, Candida tropicalis, mecA, vanA/B, and blaKPC. PJI was defined as the presence of one or more of the following: synovial fluid or periprosthetic purulence, sinus tract communicating with the prosthesis, and/or periprosthetic tissue histopathology with acute inflammation. Significant cultures were defined as (i) two or more intraoperative periprosthetic tissue and/or synovial fluid samples with the same organism, (ii) a positive preoperative synovial fluid culture and an intraoperative culture that yielded the same organism, and/or (iii) sonicate fluid cultures with an organism detected at a concentration of ≥20 CFU/10 ml. Organisms were considered true pathogens if they were detected in a PJI case and (i) met the definition of a significant culture, (ii) were detected in at least one culture sample and by at least one molecular assay, or (iii) were detected by two or more different molecular assays.

b

One hundred percent concordance with phenotypic testing: two vanA/B-positive isolates, both vancomycin resistant phenotypically; four vanA/B-negative isolates, all vancomycin susceptible phenotypically.

c

One hundred percent concordance with phenotypic testing: six mecA-positive isolates, all oxacillin resistant phenotypically.

d

For the BCID panel, only 37 specimens were assessed for SCN sensitivity, as S. aureus was codetected in three specimens.

e

PCR-ESI/MS was performed with unconcentrated sonicate fluid; the BCID panel, the 16S rRNA gene PCR assay, the 10-assay PCR panel, and culture were performed with concentrated sonicate fluid.

f

Identified by PCR-ESI/MS as Streptococcus pyogenes, with the next best match a group G Streptococcus species.

g

ND, not done.

h

NA, not applicable.

i

From 70 cases of PJI.

j

From 14 cases of PJI.

The BCID panel detected an organism in six culture-negative PJI cases (Table 2). vanA/B (for enterococci) and mecA (for S. aureus) detection or lack thereof was completely concordant with vancomycin and oxacillin susceptibility, respectively. Oxacillin susceptibility and mecA status were incompletely concordant for SCN. Of 17 mecA-positive specimens, 12 had oxacillin-resistant SCN (OR-SCN), 4 had both oxacillin-susceptible (OS-SCN) and OR-SCN, and one had only OS-SCN isolated in cultures. Of three mecA-negative specimens, one yielded OR-SCN. mecA positivity may not correlate with oxacillin resistance because of heterotypic expression (6) or potentially mixed infections with multiple strains or species.

TABLE 2.

Additional pathogens identified in sonicate fluid by the BCID panel and not detected by sonicate fluid culture

Additional pathogen detected by BCID Conventional culture results for pathogen detected by BCID Pathogen(s) coisolated by culture Recent antimicrobial therapy Corroborative molecular testing result(s)
mecA-negative SCN Sonicate cultures with <20 CFU/10 ml SCN None Fusidic acid until surgery PCR/ESI-MS, S. caprae/epidermidis; 16S rRNA gene PCR, Staphylococcus sp.; 10-assay PCR panel, SCN
mecA-negative S. aureus Nonea Methicillin-resistant SCN Oxacillin until surgery 16S rRNA gene PCR + 10-assay PCR panel, S. aureus
Streptococcus agalactiae (GBS) Sonicate cultures with <20 CFU/10 ml GBSb None Penicillin G/ceftriaxone until surgery 16S rRNA gene PCR + 10-assay PCR panel, GBS
Klebsiella pneumoniae Sonicate cultures with <20 CFU/10 ml K. pneumoniaec None Trimethoprim-sulfamethoxazole–rifampin until 7 days before surgery 10-assay PCR panel, Enterobacteriaceae
Enterobacter cloacae None MRSA,e Finegoldia magna, Corynebacterium species Trimethoprim-sulfamethoxazole until 7 days before surgery 10-assay PCR panel, Enterobacteriaceae
Candida albicans Noned Methicillin-resistant S. epidermidis Trimethoprim-sulfamethoxazole–levofloxacin until 3 days before surgery None
a

Cultures from external institution with methicillin-sensitive S. aureus previously.

b

Preoperative aspirate with GBS (group B Streptococcus species).

c

One of five tissue cultures with K. pneumoniae.

d

None detected in corresponding sonicate cultures; however, C. albicans was detected in operative cultures obtained 1 month later when the cement spacer was replaced.

e

MRSA, methicillin-resistant S. aureus.

A BCID-like approach would possibly be a useful adjunct to PJI diagnosis if sensitivity for SCN detection were improved and additional PJI-associated pathogens (e.g., Propionibacterium acnes, Finegoldia magna, and Corynebacterium species) and possibly a universal 16S rRNA gene target were incorporated. With minimal hands-on time (∼2 min) and a short turnaround time (∼1 h), rapid etiologic diagnosis and preliminary susceptibility data for major PJI pathogens (e.g., S. aureus) may facilitate earlier therapeutic and surgical decisions (e.g., surgical approach, type of antibiotic polymethymethacrylate spacer) and enhance patient satisfaction.

ACKNOWLEDGMENTS

This study was supported by the New Test Development Collaborative Research Fund Grant, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN (R.P.) and discretionary funds from the Division of Infectious Diseases, Mayo Clinic, Rochester, MN (R.P., S.V.). R.P. is supported by research grants provided by the National Institutes of Health (R01 AR056647 and R01 AI91594).

REFERENCES

  • 1.Osmon DR, Berbari EF, Berendt AR, Lew D, Zimmerli W, Steckelberg JM, Rao N, Hanssen A, Wilson WR, Infectious Diseases Society of America. 2013. Diagnosis and management of prosthetic joint infection: clinical practice guidelines by the Infectious Diseases Society of America. Clin Infect Dis 56:e1–e25. doi: 10.1093/cid/cis803. [DOI] [PubMed] [Google Scholar]
  • 2.Gomez E, Cazanave C, Cunningham SA, Greenwood-Quaintance KE, Steckelberg JM, Uhl JR, Hanssen AD, Karau MJ, Schmidt SM, Osmon DR, Berbari EF, Mandrekar J, Patel R. 2012. Prosthetic joint infection diagnosis using broad-range PCR of biofilms dislodged from knee and hip arthroplasty surfaces using sonication. J Clin Microbiol 50:3501–3508. doi: 10.1128/JCM.00834-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Cazanave C, Greenwood-Quaintance KE, Hanssen AD, Karau MJ, Schmidt SM, Gomez Urena EO, Mandrekar JN, Osmon DR, Lough LE, Pritt BS, Steckelberg JM, Patel R. 2013. Rapid molecular microbiologic diagnosis of prosthetic joint infection. J Clin Microbiol 51:2280–2287. doi: 10.1128/JCM.00335-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Greenwood-Quaintance KE, Uhl JR, Hanssen AD, Sampath R, Mandrekar JN, Patel R. 2014. Diagnosis of prosthetic joint infection by use of PCR-electrospray ionization mass spectrometry. J Clin Microbiol 52:642–649. doi: 10.1128/JCM.03217-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.BioFire Diagnostics. 2013. FilmArray(R) Blood Culture Identification (BCID) panel instruction booklet (RFIT-PRT-0101-01). BioFire, Salt Lake City, UT. [Google Scholar]
  • 6.Nijjar CK, Smith MH, Eltringham IJ. 2014. Adjunctive mecA PCR for routine detection of methicillin susceptibility in clinical isolates of coagulase-negative staphylococci. J Clin Microbiol 52:1678–1681. doi: 10.1128/JCM.02834-13. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Clinical Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES