Skip to main content
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2020 Apr 23;58(5):e02096-19. doi: 10.1128/JCM.02096-19

Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures

Sean X Zhang a,b,, Karen C Carroll a,b, Shawna Lewis a, Marissa Totten a, Peter Mead c, Linoj Samuel d, Lisa L Steed e, Frederick S Nolte e, Adam Thornberg f, Jennifer L Reid f, Natalie N Whitfield f, N Esther Babady g
Editor: Brad Fenwickh
PMCID: PMC7180249  PMID: 32075904

Routine identification of fungal pathogens from positive blood cultures by culture-based methods can be time-consuming, delaying treatment with appropriate antifungal agents. The GenMark Dx ePlex investigational use only blood culture identification fungal pathogen panel (BCID-FP) rapidly detects 15 fungal targets simultaneously in blood culture samples positive for fungi by Gram staining. We aimed to determine the performance of the BCID-FP in a multicenter clinical study. Blood culture samples collected at 10 United States sites and tested with BCID-FP at 4 sites were compared to the standard-of-care microbiological and biochemical techniques, fluorescence in situ hybridization using peptide nucleic acid probes (PNA-FISH) and matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS).

KEYWORDS: fungemia, candidemia, blood, fungi, Candida, GenMark, Candida auris, Cryptococcus, Fusarium, Rhodotorula, bloodstream infections

ABSTRACT

Routine identification of fungal pathogens from positive blood cultures by culture-based methods can be time-consuming, delaying treatment with appropriate antifungal agents. The GenMark Dx ePlex investigational use only blood culture identification fungal pathogen panel (BCID-FP) rapidly detects 15 fungal targets simultaneously in blood culture samples positive for fungi by Gram staining. We aimed to determine the performance of the BCID-FP in a multicenter clinical study. Blood culture samples collected at 10 United States sites and tested with BCID-FP at 4 sites were compared to the standard-of-care microbiological and biochemical techniques, fluorescence in situ hybridization using peptide nucleic acid probes (PNA-FISH) and matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). Discrepant results were analyzed by bi-directional PCR/sequencing of residual blood culture samples. A total of 866 clinical samples, 120 retrospectively and 21 prospectively collected, along with 725 contrived samples were evaluated. Sensitivity and specificity of detection of Candida species (C. albicans, C. auris, C. dubliniensis, C. famata, C. glabrata, C. guilliermondii, C. kefyr, C. krusei, C. lusitaniae, C. parapsilosis, and C. tropicalis) ranged from 97.1 to 100% and 99.8 to 100%, respectively. For the other organism targets, sensitivity and specificity were as follows: 100% each for Cryptococcus neoformans and C. gattii, 98.6% and 100% for Fusarium spp., and 96.2% and 99.9% for Rhodotorula spp., respectively. In 4 of the 141 clinical samples, the BCID-FP panel correctly identified an additional Candida species, undetected by standard-of-care methods. The BCID-FP panel offers a faster turnaround time for identification of fungal pathogens in positive blood cultures that may allow for earlier antifungal interventions and includes C. auris, a highly multidrug-resistant fungus.

INTRODUCTION

Fungemia is a severe form of systemic and invasive fungal infection and delayed diagnosis of fungal bloodstream infections can result in significant increases in mortality. Candidemia, in particular, is one of the leading causes of bloodstream infections in hospital settings, with a crude mortality rate of 40 to 75% (1). Previously, a multicenter study has shown that the mortality rate significantly increased for every hour of delay in diagnosis of candidemia (2). Rapid diagnosis of candidemia is even more crucial in immunocompromised patient populations because of a higher mortality rate in this patient group (3, 4). Conventional culture-based identification methods lack the speed needed to aid in choosing the appropriate antifungal drugs for timely management of patients suffering from these invasive fungal infections.

Three commercially available molecular tools have been applied to rapidly identify Candida spp. directly from positive blood culture bottles (without waiting for the growth of the organisms on the subsequent culture media): the Candida PNA FISH assay (OpGen) (5, 6), the BioFire FilmArray blood culture identification panel (bioMérieux) (7), and PhenoTest blood culture kit (Accelerate Diagnostics) (8). One major limitation of each method is the lack of broad coverage for fungal pathogen detection, since the former two methods only target five Candida species: C. albicans, C. glabrata, C. krusei, C. parapsilosis, and C. tropicalis, and the latter targets only two Candida species: C. albicans and C. glabrata.

The ePlex investigational use only (IUO) blood culture identification fungal pathogen (BCID-FP) panel (GenMark Dx) is a fully automated one-step test to detect and identify 15 fungal pathogens directly from positive blood cultures. In this study, we conducted a multicenter evaluation to determine the clinical sensitivity and specificity of the ePlex IUO BCID-FP panel for the rapid detection and identification of fungal pathogens directly from positive blood cultures.

MATERIALS AND METHODS

Study design and samples.

Positive blood cultures from patients of all ages and genders were collected at ten hospitals and medical centers from the following nine cities located in the United States: Albuquerque, New Mexico; Baltimore, Maryland; Charleston, South Carolina; Danville, Pennsylvania; Detroit, Michigan (2 sites); Harvey, Illinois; Indianapolis, Indiana; New York City, New York; and San Diego, California.

Two sites prospectively collected samples in 2015 and 2016, and four sites collected samples from July to August 2018. In addition, samples with Gram staining showing fungal organisms were retrospectively collected from nine sites; they were stored in a freezer (≤−20°C) at the collection sites and then shipped in frozen condition to the testing laboratory where they were stored in −70°C conditions before testing. All prospectively and retrospectively collected positive blood culture samples were tested by the standard-of-care testing (comparator method) performed at each site as per standard laboratory procedures. The residual portion of these blood culture samples was deidentified and tested at four clinical sites with the GenMark Dx ePlex IUO BCID-FP Panel. The study was approved by a central Institutional Review Board (IRB) and/or each site’s IRB.

The comparator method(s) included: traditional fungal culture, FDA-cleared matrix assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) (i.e., bioMérieux Vitek MS, Bruker Biotyper), microbiological and biochemical tests (i.e., Becton, Dickinson [BD] Phoenix; bioMérieux Vitek 2; Beckman Coulter MicroScan), and PNA-FISH testing. Discordant results between the BCID-FP panel and the comparator method(s) were investigated by running molecular assays to determine the presence or absence of the organism directly in residual blood culture samples. The molecular assays employed PCR amplification targeting genes associated with each fungal target followed by bi-directional sequencing (PCR/sequencing). The molecular assays were validated analytically with precision, limit-of-detection, inclusivity and exclusivity studies using spiked blood culture media and DNA or whole organisms. Descriptions of each gene target, primer sequences, and PCR conditions are provided in Table S1 in the supplemental materials. As part of the comparator method, all prospective samples were tested with PCR/sequencing assays to determine the presence/absence of Candida auris, Fusarium (F. dimerum, F. oxysporum, F. sacchari, F. solani, and F. verticillioides), and Rhodotorula (R. glutinis and R. mucilaginosa) because not all standard-of-care methods may have initially tested for these organisms on a consistent basis. Due to potential misidentification of C. parapsilosis with other cryptic species within the C. parapsilosis species complex, e.g., C. orthopsilosis and C. metapsilosis, by standard-of-care phenotypic methods (9, 10), samples with Candida parapsilosis identified by standard laboratory procedures were confirmed using the PCR/sequencing assay to determine the comparator method result.

Contrived samples were used to establish additional performance metrics for specific fungal targets due to very low prevalence within the prospectively and retrospectively collected clinical samples. Each target had contrived samples prepared from at least 3 different strains. Contrived samples were prepared by aseptically injecting 3 to 10 ml of human whole blood (BioIVT, Westbury, NY) into a BD BacTec blood culture bottle (Plus Aerobic/F, Myco/F Lytic, or Peds Plus/F). The bottles were then inoculated with conidia or spores (in case of Fusarium) from a pure culture of a known organism grown on Sabouraud agar at 30°C between 36 and 72 h. The fungal preparations were generated by diluting conidia or spores in saline to approximately 0.5 McFarlands via optical density at 600 nm (OD600) readings, where 0.5 McFarlands is equivalent to approximately 1.0 × 106 CFU/ml for yeast cells at OD600 (11, 12). The fungal preparations were used neat or diluted to either 1:10, 1:100, 1:1,000, 1:10,000, 1:20,000, or 1:100,000 and then 100 μl (except for two samples which used either 400 μl or 1 ml) was used to inoculate the bottle containing blood. The inoculum was adjusted based on successful growth and time to detection in preliminary samples. The time to detection varied from 11 h to 5 days for 95% of the contrived samples; the remaining 5% varied from >5 days to 15 days. The contrived sample list is detailed in Table S2.

GenMark Dx ePlex BCID-FP panel testing.

The BCID-FP panel runs on a single-use cartridge that automates all aspects of nucleic acid testing in combination with electrowetting and GenMark Dx’s eSensor technology based on the principles of competitive DNA hybridization and electrochemical detection (13). The BCID-FP panel identifies the following 15 targeted fungal organisms from positive blood cultures containing fungi: Candida albicans, C. auris, C. dubliniensis, C. famata, C. glabrata, C. guilliermondii, C. kefyr, C. krusei, C. lusitaniae, C. parapsilosis, C. tropicalis, Cryptococcus gattii, C. neoformans, Fusarium spp., and Rhodotorula spp.

The test consists of a single-use cartridge to be used with the GenMark Dx ePlex instrument and software, in which all steps from sample extraction to detection of target DNA are performed from a positive blood culture. It combines two main technologies: digital microfluidics, or electrowetting, responsible for the movement and transfer of samples and reagents inside the cartridge, and the GenMark Dx eSensor technology for electrochemical detection of target DNA. Nucleic acids are extracted and purified from blood culture samples (magnetic solid-phase extraction) and DNA is then amplified to generate a double-stranded PCR product. Amplification is followed by an exonuclease treatment to generate a single-stranded PCR product, which is mixed with a solution containing complementary signal probes labeled with ferrocene. If target DNA is present, hybridization between the single-stranded PCR product and the signal probes occurs. The solution is then moved to the detection part of the cartridge, the eSensor microarray, consisting of target-specific capture probes attached to gold electrodes. If present, the complex “target DNA/signal probe” hybridizes with the capture probes, leading to the generation of a voltage signal detected by the ePlex instrument. Internal controls monitoring the performance of each step in the process and each amplification reaction are included on each cartridge.

Testing with the BCID-FP panel was done following the manufacturer’s instructions using the materials in the kit. Briefly, after inverting the blood culture bottle several times to mix, 50 μl was aspirated and loaded into the sample port of the BCID-FP panel cartridge and the cap was depressed to close the port. Each cartridge was barcoded and scanned at the ePlex instrument and inserted into an available bay. Upon test completion, the ePlex instrument ejected the cartridge for disposal and a BCID-FP panel report was generated (Fig. S1).

Statistical methods.

Sensitivity/positive percent agreement (PPA) and specificity/negative percent agreement (NPA) with comparator method results were determined for each targeted fungal organism detected by the BCID-FP panel. Sensitivity/PPA was calculated as 100× number true positive (TP)/(number TP + number false negative [FN]), while specificity/NPA was calculated as 100× number true negative (TN)/(number TN + number false positive [FP]). The two-sided 95% score confidence interval (CI) was calculated for sensitivity/PPA and specificity/NPA.

RESULTS

Sample disposition, run/sample accountability, demographic/sample information.

A total of 447 positive blood culture samples were collected prospectively at 6 sites in 2 phases. In phase I, 237 samples were collected at 2 sites and frozen for future testing (prospective frozen samples) from May 2015 through July 2016. In phase II, 210 samples were collected at 4 sites from July through August 2018, were never frozen, and were tested fresh (prospective fresh samples). Of these 447 blood culture samples, 21 (10 from phase I samples, 11 from phase II samples) had a Gram stain result indicating the presence of fungal organisms, representing an overall prevalence of fungemia of 4.7%. Among the 21 cases, 18/21 included organisms targeted by the BCID-FP panel: 29% were caused by C. glabrata, followed by C. albicans (19%), 10% each by C. tropicalis, C. parapsilosis, C. krusei, and 5% each by C. dubliniensis and Rhodotorula spp. (Table S3).

A total of 120 positive blood culture samples with Gram stain results showing fungal organisms were retrospectively collected from 9 sites. In addition, 726 samples were contrived with targeted fungal organisms in BD BacTec bottles (Table S2). Taken together, 867 samples were initially tested with the BCID-FP panel, of which 839 yielded valid results for an initial validity rate of 96.8%. After repeat testing of the 28 initially invalid samples, 27 yielded valid results for a final validity rate of 99.9% (866/867). There was one contrived sample with an invalid result after repeat testing, and therefore it was excluded from the evaluation.

For prospective subjects, 67% were male and the mean age for this group was 48.1 years old, where 71% of the prospective patients ranged in age from 18 to 64 years old. Among the retrospective subjects, 57% were male and the mean age for this group was 53.5 years old, where 55% of these patients ranged in age from 18 to 64 years (Table S4).

Ten different blood culture bottle types from three manufacturers (BD [Becton, Dickinson], bioMérieux Inc, and Thermo Fisher Scientific) were used. The majority of the blood culture bottles used in the prospectively collected samples were BacTec PLUS Aerobic/F. For the retrospectively collected samples, predominant usage was of BacTec PLUS Aerobic/F and BacTec Standard/10 Aerobic/F. For the contrived samples, the bottles were mainly BacTec Myco/F Lytic (Table S5).

BCID-FP panel performance.

Each of the 15 fungal targets on the BCID-FP Panel was tested by a range of 49 to 70 positive samples to determine sensitivity/PPA and a range of 796 to 817 negative samples to determine specificity/NPA (Table 1). For each fungal target, positive or negative samples (comparator results) consisted of prospectively and retrospectively collected clinical blood culture samples as well as contrived samples. Contrived samples were solely used to evaluate the sensitivity for the following fungal targets due to a lack of positive results from the prospective and retrospective sample collections: Candida auris, C. famata, C. guilliermondii, C. kefyr, C. gattii, and Fusarium spp.

TABLE 1.

Clinical performance of ePlex BCID-FP panel with comparator methodse

Species Sensitivity/PPA
Specificity/NPA
TP/TP + FN % (95% CI) TN/TN + FP % (95% CI)
Candida albicans
    Clinical 53/54 98.1 (90.2–99.7) 87/87 100 (95.8–100)
    Contrived 13/14 92.9 (68.5–98.7) 710/711 99.9 (99.2–100)
    Combined 66/68 97.1 (89.9–99.2) 797/798 99.9 (99.3–100)
Candida auris
    Clinical 0/0 141/141 100 (97.3–100)
    Contrived 49/49 100 (92.7–100) 676/676 100 (99.4–100)
    Combined 49/49 100 (92.7–100) 817/817 100 (99.5–100)
Candida dubliniensis
    Clinical 4/4 100 (51.0–100) 137/137 100 (97.3–100)
    Contrived 48/48 100 (92.6–100) 677/677 100 (99.4–100)
    Combined 52/52 100 (93.1–100) 814/814 100 (99.5–100)
Candida famata
    Clinical 0/0 141/141 100 (97.3–100)
    Contrived 51/51 100 (93.0–100) 674/674 100 (99.4–100)
    Combined 51/51 100 (93.0–100) 815/815 100 (99.5–100)
Candida glabrata
    Clinical 43/44 (45/46a) 97.7 (88.2–99.6) 95/97a (95/95a ) 97.9 (92.8–99.4)
    Contrived 16/16 100 (80.6–100) 709/709 100 (99.5–100)
    Combined 59/60 98.3 (91.1–99.7) 804/806 99.8 (99.1–99.9)
Candida guilliermondii
    Clinical 0/0 141/141 100 (97.3–100)
    Contrived 49/50 98.0 (89.5–99.6) 675/675 100 (99.4–100)
    Combined 49/50 98.0 (89.5–99.6) 816/816 100 (99.5–100)
Candida kefyr
    Clinical 0/0 141/141 100 (97.3–100)
    Contrived 51/51 100 (93.0–100) 672/674 99.7 (98.9–99.9)
    Combined 51/51 100 (93.0–100) 813/815 99.8 (99.1–99.9)
Candida krusei
    Clinical 4/4 100 (51.0–100) 137/137 100 (97.3–100)
    Contrived 46/46 100 (92.3–100) 679/679 100 (99.4–100)
    Combined 50/50 100 (92.9–100) 816/816 100 (99.5–100)
Candida lusitaniae
    Clinical 3/4 75.0 (30.1–95.4) 137/137 100 (97.3–100)
    Contrived 45/45 100 (92.1–100) 679/680 99.9 (99.2–100)
    Combined 48/49 98.0 (89.3–99.6) 816/817 99.9 (99.3–100)
Candida parapsilosis
    Clinical 18/19b (19/20c ) 94.7 (75.4–99.1) 121/122c (121/121c) 99.2 (95.5–99.9)
    Contrived 41/41 100 (91.4–100) 684/684 100 (99.4–100)
    Combined 59/60 98.3 (91.1–99.7) 805/806 99.9 (99.3–100)
Candida tropicalis
    Clinical 5/5 (6/6d ) 100 (56.6–100) 135/136 (135/135d ) 99.3 (96.0–99.9)
    Contrived 45/45 100 (92.1–100) 680/680 100 (99.4–100)
    Combined 50/50 100 (92.9–100) 815/816 99.9 (99.3–100)
Cryptococcus gattii
    Clinical 0/0 141/141 100 (97.3–100)
    Contrived 50/50 100 (92.9–100) 675/675 100 (99.4–100)
    Combined 50/50 100 (92.9–100) 816/816 100 (99.5–100)
Cryptococcus neoformans
    Clinical 5/5 100 (56.6–100) 136/136 100 (97.3–100)
    Contrived 52/52 100 (93.1–100) 673/673 100 (99.4–100)
    Combined 57/57 100 (93.7–100) 809/809 100 (99.5–100)
Fusarium spp.
    Clinical 0/0 141/141 100 (97.3–100)
    Contrived 69/70 98.6 (92.3–99.7) 655/655 100 (99.4–100)
    Combined 69/70 98.6 (92.3–99.7) 796/796 100 (99.5–100)
Rhodotorula spp.
    Clinical 2/2 100 (34.2–100) 139/139 100 (97.3–100)
    Contrived 48/50 96.0 (86.5–98.9) 674/675 99.9 (99.2–100)
    Combined 50/52 96.2 (87.0–98.9) 813/814 99.9 (99.3–100)
a

C. glabrata was detected by the ePlex BCID-FP panel in two samples that only grew C. lusitaniae (which was also detected by the ePlex BCID-FP Panel). C. glabrata was further detected in the residual of these two samples by PCR/sequencing, thus confirming these two samples were true positive for C. glabrata. These two samples are also listed as Case 6 and 7 in Table 3.

b

The false-negative sample is also listed as Case 3 in Table 3.

c

C. parapsilosis was detected by the ePlex BCID-FP panel in a sample that only grew C. dubliniensis (which was also detected by the ePlex BCID-FP panel). C. parapsilosis was further detected in the residual of that sample by PCR/sequencing, thus confirming this sample was true positive for C. parapsilosis. This sample is also listed as Case 4 in Table 3.

d

C. tropicalis was detected by the ePlex BCID-FP panel in a sample that only grew C. dubliniensis (which was also detected by the ePlex BCID-FP panel). C. tropicalis was further detected in the residual of that sample by PCR/sequencing, thus confirming this sample was true positive for C. tropicalis. This sample is also listed as Case 5 in Table 3.

e

PPA, positive percent agreement; NPA, negative percent agreement; TP, true positive; FN, false negative; TN, true negative; FP, false positive; CI, confidence interval.

Overall, test sensitivity/PPA and specificity/NPA were 100% for the following 6 fungal targets on the BCID-FP panel: C. auris, C. dubliniensis, C. famata, C. krusei, C. gattii, and C. neoformans. The sensitivity/PPA for the remaining fungal targets ranged from 96.2% to 100%, and specificity/NPA ranged from 99.8% to 100%. A total of 9 false-negative results were found in the samples containing the following fungal targets: 5 contrived samples each spiked with C. albicans, C. guilliermondii, Fusarium spp., and Rhodotorula spp. (n = 2); 4 retrospectively collected clinical samples each positive for C. albicans, C. glabrata, C. lusitaniae, and C. parapsilosis (Table 2). A total of 9 false-positive results were detected in the following samples: 5 were found to be positive in contrived samples without spiking for C. albicans, C. kefyr (n = 2), C. lusitaniae, and Rhodotorula spp.; 4 were from retrospectively collected clinical samples that were not identified by comparator methods but were detected by the BCID-FP panel (2 C. glabrata, 1 C. parapsilosis, and 1 C. tropicalis) (Table 2). A discrepancy analysis was performed by running PCR/sequencing for the above fungal targets in these 4 retrospectively collected samples. The target Candida spp. were detected by PCR/sequencing, thus the 4 positive results by the BCID-FP panel were deemed to be true positive. After discordant resolution for the 2 C. glabrata, 1 C. parapsilosis, and 1 C. tropicalis, the sensitivity increased to 98.4%, 98.4% and 100%, respectively, for each target.

TABLE 2.

Summary of discrepant results between the standard-of-care (SOC) testing or spiked organism and the ePlex BCID-FP panel runn

Species SOC positive/BCID-FP negative PCR/sequencing Interpretation SOC negative/BCID-FP positive PCR/sequencing Interpretation
C. albicans
    Clinical sample (Retrospective) 1 Positive for C. albicans False negative
    Contrived sample 1a ND False negative 1b ND False positive
C. glabrata
    Clinical sample (Retrospective) 1c Negative for C. glabrata Indeterminate 2d Positive for C. glabrata True positive
C. guillermondii
    Contrived sample 1e ND False negative
C. kefyr
    Contrived sample 2f ND False positive
C. lusitaniae
    Clinical sample (Retrospective) 1 Positive for C. lusitaniae False negative
    Contrived sample 1g ND False positive
C. parapsilosis
    Clinical sample (Retrospective) 1h Positive for C. parapsilosis False negative 1i Positive for C. parapsilosis True positive
C. tropicalis
    Clinical sample (Retrospective) 1j Positive for C. tropicalis True positive
Fusarium spp.
    Contrived sample 1k ND False negative
Rhodotorula spp.
    Contrived sample 2l ND False negative 1m ND False positive
Total 9 9
a

The sample was spiked with C. albicans ATCC10231. It was flagged positive on day 6 but was negative by the BCID-FP panel.

b

The sample was spiked with C. dubliniensis ATCCMYA-578. C. dubliniensis was correctly detected by the BCID-FP panel, but the sample was also positive for C. albicans and C. kefyr (same sample discussed in footnote f).

c

The sample grew C. albicans, C. glabrata, and C. dubliniensis. The BCID-FP panel detected C. albicans, C. dubliniensis, but not C. glabrata. Subsequently, C. glabrata was not detected in the residual of that sample by PCR/sequencing. This sample is also listed as Case 1 in Table 3.

d

These two samples are also listed as Case 6 and 7 in Table 3.

e

The sample was spiked with C. guilliermondii ATCC90198. It was flagged positive on day 2 but was negative by the BCID-FP panel.

f

One sample was spiked with C. dubliniensis ATCCMYA-578. C. dubliniensis was correctly detected by the BCID-FP panel, but the sample was also positive for C. kefyr and C. albicans (same sample discussed in footnote b). The other sample was spiked with C. auris CDC number 0390. C. auris was correctly detected by the BCID-FP panel, but the sample was also positive for C. kefyr.

g

The sample was spiked with C. neoformans ATCC14116. C. neoformans was correctly detected by the BCID-FP panel, but the sample was also positive for C. lusitaniae.

h

This sample is also listed as Case 3 in Table 3.

i

This sample is also listed as Case 4 in Table 3.

j

This sample is also listed as Case 5 in Table 3.

k

The sample was spiked with Fusarium dimerum CBS110317. It was flagged positive on day 3 but was negative by BCID-FP Panel.

l

Two contrived samples were each spiked with Rhodotorula mucilaginosa ATCC66034 and R. mucilaginosa ATCC9449 and flagged positive on day 3 and day 6, respectively, but were negative by BCID-FP Panel.

m

The sample was spiked with C. auris CDCnumber 0389. C. auris was correctly detected by BCID-FP Panel, but the sample was also positive for Rhodotorula.

n

ND, not done.

A total of 8 cases of mixed fungal infections were detected either by comparator methods or by the BCID-FP panel among the 141 prospectively and retrospectively collected clinical samples (Table 2). Case numbers 1, 2, 3, and 8 were mixed infections detected by the comparator methods. Case number 8 contained only fungal pathogens that are not included on the BCID-FP panel (i.e., C. metapsilosis and Trichosporon asahii) which resulted in no targets being detected on the BCID-FP panel, as expected. Case number 1 was a coinfection mixed with C. albicans, C. glabrata, and C. dubliniensis. The BCID-FP panel was able to detect C. albicans and C. dubliniensis, but not C. glabrata. Subsequent PCR/sequencing was not able to confirm the presence of C. glabrata in that sample, rendering an inconclusive evaluation result. In case number 2, the BCID-FP panel was able to detect both C. albicans and C. parapsilosis. In case number 3, the BCID-FP panel was able to detect C. albicans but failed to detect C. parapsilosis. Case numbers 4 to 7 were positive for a single fungal target by the comparator methods. The BCID-FP panel was able to detect not only the single target but also an additional fungal target in each of these 4 cases, as described in the previous paragraph. These additional fungal targets were confirmed by PCR/sequencing results, indicating true coinfections detected by the BCID-FP panel (Table 2).

DISCUSSION

One of the highest risk factors for mortality for patients with candidemia is time to diagnosis; therefore, rapid, accurate diagnosis is critical to improving patient care outcome (2, 14). The ePlex BCID fungal pathogen panel is currently the only rapid, commercial panel that detects a large number of fungal pathogens (up to 15 pathogens) directly in patients with positive blood cultures. The BCID-FP panel has a straightforward easy-to-use workflow with hands-on time of less than 2 min to load each sample into the cartridge and a run time of approximately 100 min on the ePlex system, a scalable (3 to 24 bays) random-access instrument.

Our multicenter study showed that the ePlex BCID-FP panel exhibited 100% sensitivity and specificity for 6 fungal targets (C. auris, C. dubliniensis, C. famata, C. krusei, C. gattii, and C. neoformans) and a range of sensitivity of 96.2% to 100% and specificity of 99.8% to 100% for the remaining fungal targets before resolution of discordant results. While the ePlex BCID-FP panel missed the detection of fungal targets in 5 contrived samples and 4 retrospective clinical samples (Table 2), the panel did detect additional fungal targets in 4 cases that were missed by the standard-of-care testing, in turn delivering a faster set of complete results to the clinicians responsible for patient management so that appropriate treatment can be initiated without delay. For example, the standard-of-care tests only detected C. lusitaniae in case numbers 6 and 7 of mixed fungal infections (Table 3). The ePlex BCID-FP panel detected additional C. glabrata in both cases, which could have allowed the more appropriate choice of echinocandin over fluconazole as per current clinical practice guidelines for the management of candidiasis (15).

TABLE 3.

Detection of mixed fungal organisms by the ePlex BCID-FP panel in positive blood cultures (prospective/retrospective clinical samples)

Case no. SOC testinga BCID-FP PCR/sequencing Interpretation
1 C. albicans C. albicans
C. glabrata Negative Inconclusive
C. dubliniensis C. dubliniensis
2 C. albicans C. albicans
C. parapsilosis C. parapsilosis
3 C. albicans C. albicans
C. parapsilosis C. parapsilosis BCID-FP false negative
4 C. dubliniensis C. dubliniensis
C. parapsilosis C. parapsilosis BCID-FP true positive
5 C. dubliniensis C. dubliniensis
C. tropicalis C. tropicalis BCID-FP true positive
6 C. lusitaniae C. lusitaniae
C. glabrata C. glabrata BCID-FP true positive
7 C. lusitaniae C. lusitaniae
C. glabrata C. glabrata BCID-FP true positive
8 C. metapsilosis Off-panelb
Trichosporon asahii Off-panel
a

SOC, standard-of-care.

b

Off-panel, the indicated fungal target is not listed in the ePlex BCID-FP panel.

Importantly, BCID-FP is the only FDA-cleared rapid molecular panel that contains C. auris, which is an emerging multidrug-resistant fungal pathogen that has been reported to cause high mortality and nosocomial outbreaks in hospital settings (1618) and has recently been added to the CDC’s Antimicrobial Resistance Urgent Threat list. Over 60% of patients infected by C. auris developed bloodstream infection with a mortality rate reaching up to 60% (19). Rapid detection of C. auris in blood cultures cannot only result in early initiation of an appropriate antifungal regimen, (i.e., echinocandins due to the pathogen’s high resistance rate to azoles) (19, 20), but can also help prevent further spread of this nosocomial multidrug-resistant organism in health care facilities. A large, multi-institution outbreak of C. auris highlighted the clinical importance of its rapid identification, as transmission occurs primarily among patients with extensive health care exposure and, much like Clostridioides difficile, C. auris remains viable on inanimate objects for 7 to 14 days, longer in a nonculturable state, contributing to its nosocomial transmission (2123). Although a positive C. auris result has clear epidemiological impact, a negative result for C. auris is also highly valuable for assisting hospital infection control to rule out this nosocomial pathogen, due to the BCID-FP panel’s high specificity for this organism.

The ePlex BCID-FP panel contains 2 non-Candida yeasts, Cryptococcus and Rhodotorula. Although bloodstream infections caused by these yeasts are less common than for Candida spp. (24, 25), annually less than 10,000 cases compared to 25,000 cases in the United States, rapid and accurate detection of these fungi are paramount because they contribute to a higher mortality rate and antifungal regimens are very different from candidemia (26, 27). For example, echinocandins are the most active category of antifungal agents against Candida spp., but they have no activity against Cryptococcus and Rhodotorula (27, 28).

Moreover, the ePlex BCID-FP panel is the only commercial panel that also targets Fusarium spp., the most common filamentous fungus frequently isolated from patients’ blood cultures (29). The broad coverage of the Fusarium target covers the most common and medically important Fusarium spp., including F. solani, F. oxysporum, F. verticillioides, F. dimerum, and F. sacchari. Disseminated fusariosis occurs most commonly in immunocompromised patients, particularly those with hematological malignancies, and stem cell transplant patients with prolonged and profound neutropenia and/or severe T-cell immunodeficiency (29). About 60 to 70% of these patients developed a Fusarium bloodstream infection and in this patient population the intrinsic resistance of Fusarium spp. to most antifungal agents results in high mortality rates (30). Rapid identification of Fusarium in these patients would aid in the initiation of proper antifungal treatment that is different from treatment of yeast infection, especially in persistently neutropenic patients with disseminated disease, where the mortality rate approaches 100% (29, 31).

In summary, the ePlex BCID-FP panel, which has recently been cleared by the FDA, contains the largest breadth of fungal targets and proved to be an accurate, easy-to-use multiplex molecular tool suitable for clinical laboratories to detect common fungal pathogens causing bloodstream infections more rapidly than traditional and conventional microbiological methods.

Supplementary Material

Supplemental file 1
JCM.02096-19-s0001.pdf (240.7KB, pdf)
Supplemental file 2
JCM.02096-19-s0002.pdf (237.8KB, pdf)

ACKNOWLEDGMENT

A.T., J.L.R., and N.N.W. are employees of GenMark Diagnostics, Inc.

Footnotes

Supplemental material is available online only.

REFERENCES

  • 1.Pappas PG. 2006. Invasive candidiasis. Infect Dis Clin North Am 20:485–506. doi: 10.1016/j.idc.2006.07.004. [DOI] [PubMed] [Google Scholar]
  • 2.Garey KW, Rege M, Pai MP, Mingo DE, Suda KJ, Turpin RS, Bearden DT. 2006. Time to initiation of fluconazole therapy impacts mortality in patients with candidemia: a multi-institutional study. Clin Infect Dis 43:25–31. doi: 10.1086/504810. [DOI] [PubMed] [Google Scholar]
  • 3.McCarthy MW, Walsh TJ. 2018. Candidemia in the cancer patient: diagnosis, treatment, and future directions. Expert Rev Anti Infect Ther 16:849–854. doi: 10.1080/14787210.2018.1536546. [DOI] [PubMed] [Google Scholar]
  • 4.Ghrenassia E, Mokart D, Mayaux J, Demoule A, Rezine I, Kerhuel L, Calvet L, De Jong A, Azoulay E, Darmon M. 2019. Candidemia in critically ill immunocompromised patients: report of a retrospective multicenter cohort study. Ann Intensive Care 9:62. doi: 10.1186/s13613-019-0539-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Stone NR, Gorton RL, Barker K, Ramnarain P, Kibbler CC. 2013. Evaluation of PNA-FISH yeast traffic light for rapid identification of yeast directly from positive blood cultures and assessment of clinical impact. J Clin Microbiol 51:1301–1302. doi: 10.1128/JCM.00028-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Abdelhamed AM, Zhang SX, Watkins T, Morgan MA, Wu F, Buckner RJ, Fuller DD, Davis TE, Salimnia H, Fairfax MR, Lephart PR, Poulter MD, Regi SB, Jacobs MR. 2015. Multicenter evaluation of Candida QuickFISH BC for identification of Candida species directly from blood culture bottles. J Clin Microbiol 53:1672–1676. doi: 10.1128/JCM.00549-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Simor AE, Porter V, Mubareka S, Chouinard M, Katz K, Vermeiren C, Fattouh R, Matukas LM, Tadros M, Mazzulli T, Poutanen S. 2018. Rapid identification of Candida species from positive blood cultures by use of the FilmArray blood culture identification panel. J Clin Microbiol 56:e01387. doi: 10.1128/JCM.01387-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pancholi P, Carroll KC, Buchan BW, Chan RC, Dhiman N, Ford B, Granato PA, Harrington AT, Hernandez DR, Humphries RM, Jindra MR, Ledeboer NA, Miller SA, Mochon AB, Morgan MA, Patel R, Schreckenberger PC, Stamper PD, Simner PJ, Tucci NE, Zimmerman C, Wolk DM. 2018. Multicenter evaluation of the Accelerate PhenoTest BC kit for rapid identification and phenotypic antimicrobial susceptibility testing using morphokinetic cellular analysis. J Clin Microbiol 56:e01329. doi: 10.1128/JCM.01329-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Feng X, Wu Z, Ling B, Pan S, Liao W, Pan W, Yao Z. 2014. Identification and differentiation of Candida parapsilosis complex species by use of exon-primed intron-crossing PCR. J Clin Microbiol 52:1758–1761. doi: 10.1128/JCM.00105-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Haas M, Grenouillet F, Loubersac S, Ariza B, Pepin-Puget L, Alvarez-Moreno CA, Valderrama-Beltrán SL, Lavergne R-A, Le Pape P, Morio F. 2016. Identification of cryptic Candida species by MALDI-TOF mass spectrometry, not all MALDI-TOF systems are the same: focus on the C. parapsilosis species complex. Diagn Microbiol Infect Dis 86:385–386. doi: 10.1016/j.diagmicrobio.2016.08.028. [DOI] [PubMed] [Google Scholar]
  • 11.Maaroufi Y, De Bruyne JM, Duchateau V, Georgala A, Crokaert F. 2004. Early detection and identification of commonly encountered Candida species from simulated blood cultures by using a real-time PCR-based assay. J Mol Diagn 6:108–114. doi: 10.1016/S1525-1578(10)60498-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wibawa T, Praseno, Aman AT. 2015. Virulence of Candida albicans isolated from HIV infected and non infected individuals. Springerplus 4:408. doi: 10.1186/s40064-015-1215-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Maubon D, Dard C, Garnaud C, Cornet M. 2018. Profile of GenMark’s ePlex(R) blood culture identification fungal pathogen panel. Expert Rev Mol Diagn 18:119–132. doi: 10.1080/14737159.2018.1420476. [DOI] [PubMed] [Google Scholar]
  • 14.Morrell M, Fraser VJ, Kollef MH. 2005. Delaying the empiric treatment of candida bloodstream infection until positive blood culture results are obtained: a potential risk factor for hospital mortality. Antimicrob Agents Chemother 49:3640–3645. doi: 10.1128/AAC.49.9.3640-3645.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Pappas PG, Kauffman CA, Andes DR, Clancy CJ, Marr KA, Ostrosky-Zeichner L, Reboli AC, Schuster MG, Vazquez JA, Walsh TJ, Zaoutis TE, Sobel JD. 2016. Executive summary: clinical practice guideline for the management of candidiasis: 2016 update by the Infectious Diseases Society of America. Clin Infect Dis 62:409–417. doi: 10.1093/cid/civ1194. [DOI] [PubMed] [Google Scholar]
  • 16.Chow NA, US Candida auris Investigation Team, Gade L, Tsay SV, Forsberg K, Greenko JA, Southwick KL, Barrett PM, Kerins JL, Lockhart SR, Chiller TM, Litvintseva AP. 2018. Multiple introductions and subsequent transmission of multidrug-resistant Candida auris in the USA: a molecular epidemiological survey. Lancet Infect Dis 18:1377–1384. doi: 10.1016/S1473-3099(18)30597-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Meis JF, Chowdhary A. 2018. Candida auris: a global fungal public health threat. Lancet Infect Dis 18:1298–1299. doi: 10.1016/S1473-3099(18)30609-1. [DOI] [PubMed] [Google Scholar]
  • 18.Eyre DW, Sheppard AE, Madder H, Moir I, Moroney R, Quan TP, Griffiths D, George S, Butcher L, Morgan M, Newnham R, Sunderland M, Clarke T, Foster D, Hoffman P, Borman AM, Johnson EM, Moore G, Brown CS, Walker AS, Peto TEA, Crook DW, Jeffery K. 2018. A Candida auris outbreak and its control in an intensive care setting. N Engl J Med 379:1322–1331. doi: 10.1056/NEJMoa1714373. [DOI] [PubMed] [Google Scholar]
  • 19.Park JY, Bradley N, Brooks S, Burney S, Wassner C. 2019. Management of patients with Candida auris fungemia at Community Hospital, Brooklyn, New York, USA, 2016-2018(1). Emerg Infect Dis 25:601–602. doi: 10.3201/eid2503.180927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Tsay S, Kallen A, Jackson BR, Chiller TM, Vallabhaneni S. 2018. Approach to the investigation and management of patients with Candida auris, an emerging multidrug-resistant yeast. Clin Infect Dis 66:306–311. doi: 10.1093/cid/cix744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Adams E, Candida auris Investigation Workgroup, Quinn M, Tsay S, Poirot E, Chaturvedi S, Southwick K, Greenko J, Fernandez R, Kallen A, Vallabhaneni S, Haley V, Hutton B, Blog D, Lutterloh E, Zucker H. 2018. Candida auris in healthcare facilities, New York, USA, 2013-2017. Emerg Infect Dis 24:1816–1824. doi: 10.3201/eid2410.180649. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hata DJ, Humphries R, Lockhart SR. 2019. Candida auris: an emerging yeast pathogen posing distinct challenges for laboratory diagnostics, treatment, and infection prevention. Arch Pathol Lab Med 144:107–114. doi: 10.5858/arpa.2018-0508-RA. [DOI] [PubMed] [Google Scholar]
  • 23.Welsh RM, Bentz ML, Shams A, Houston H, Lyons A, Rose LJ, Litvintseva AP. 2017. Survival, persistence, and isolation of the emerging multidrug-resistant pathogenic yeast Candida auris on a plastic health care surface. J Clin Microbiol 55:2996–3005. doi: 10.1128/JCM.00921-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Mirza SA, Phelan M, Rimland D, Graviss E, Hamill R, Brandt ME, Gardner T, Sattah M, de Leon GP, Baughman W, Hajjeh RA. 2003. The changing epidemiology of cryptococcosis: an update from population-based active surveillance in 2 large metropolitan areas, 1992-2000. Clin Infect Dis 36:789–794. doi: 10.1086/368091. [DOI] [PubMed] [Google Scholar]
  • 25.Wirth F, Goldani LZ. 2012. Epidemiology of Rhodotorula: an emerging pathogen. Interdiscip Perspect Infect Dis 2012:465717. doi: 10.1155/2012/465717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Posteraro B, Spanu T, Fiori B, De Maio F, De Carolis E, Giaquinto A, Prete V, De Angelis G, Torelli R, D'Inzeo T, Vella A, De Luca A, Tumbarello M, Ricciardi W, Sanguinetti M. 2015. Antifungal susceptibility profiles of bloodstream yeast isolates by Sensititre YeastOne over nine years at a large Italian teaching hospital. Antimicrob Agents Chemother 59:3944–3955. doi: 10.1128/AAC.00285-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Perfect JR, Dismukes WE, Dromer F, Goldman DL, Graybill JR, Hamill RJ, Harrison TS, Larsen RA, Lortholary O, Nguyen MH, Pappas PG, Powderly WG, Singh N, Sobel JD, Sorrell TC. 2010. Clinical practice guidelines for the management of cryptococcal disease: 2010 update by the infectious diseases society of America. Clin Infect Dis 50:291–322. doi: 10.1086/649858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Duggal S, Jain H, Tyagi A, Sharma A, Chugh TD. 2011. Rhodotorula fungemia: two cases and a brief review. Med Mycol 49:879–882. doi: 10.3109/13693786.2011.583694. [DOI] [PubMed] [Google Scholar]
  • 29.Nucci M, Anaissie E. 2007. Fusarium infections in immunocompromised patients. Clin Microbiol Rev 20:695–704. doi: 10.1128/CMR.00014-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Al-Hatmi AMS, Bonifaz A, Ranque S, Sybren de Hoog G, Verweij PE, Meis JF. 2018. Current antifungal treatment of fusariosis. Int J Antimicrob Agents 51:326–332. doi: 10.1016/j.ijantimicag.2017.06.017. [DOI] [PubMed] [Google Scholar]
  • 31.Guarro J. 2013. Fusariosis, a complex infection caused by a high diversity of fungal species refractory to treatment. Eur J Clin Microbiol Infect Dis 32:1491–1500. doi: 10.1007/s10096-013-1924-7. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental file 1
JCM.02096-19-s0001.pdf (240.7KB, pdf)
Supplemental file 2
JCM.02096-19-s0002.pdf (237.8KB, pdf)

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

RESOURCES