Skip to main content
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2025 Jul 14;63(8):e00028-25. doi: 10.1128/jcm.00028-25

Percentage of culture confirmation and melting curve analysis reveals false-positive Campylobacter detection in a molecular syndromic panel

Annie Sanchez 1,2,, Michael Rauch 2, Sherry Buechner 2, Brittney Jung-Hynes 3, Eric Beck 4, Allen Bateman 2
Editor: Erin McElvania5
PMCID: PMC12345244  PMID: 40657925

ABSTRACT

Surveillance of enteric organisms can identify outbreaks and support control measures. The BIOFIRE FilmArray Gastrointestinal Panel (FilmArray GI) is the most common culture-independent diagnostic test (CIDT) used in Wisconsin to diagnose enteric infections. State clinical laboratories have raised concerns about inaccurate Campylobacter detection with the FilmArray GI. The Wisconsin State Laboratory of Hygiene (WSLH) evaluated the percentage of positivity and culture confirmations stratified by CIDT for Campylobacter, Salmonella, and STEC from 2018 to 2024. We further analyzed the transport time of Campylobacter specimens and the melt curves of specimens that tested positive by FilmArray GI. Campylobacter, Salmonella, and STEC specimens tested on the FilmArray GI had increases in percentage of positivity compared to those tested on other CIDTs. Salmonella and STEC specimens positive by FilmArray GI, compared to other CIDTs, had no significant culture confirmation differences. However, Campylobacter specimens positive by FilmArray GI had significantly lower culture confirmations than positive specimens from other CIDTs (62% vs. 78%; P < 0.05). Campylobacter culture confirmations were lower for FilmArray GI specimens, compared to other CIDTs, regardless of how many days the specimen spent in transport in 2023. Additionally, we found atypical melt curves among specimens positive by FilmArray GI with cultures that did not grow Campylobacter. Taken together, the higher percentage of positivity, the lower percentage of culture confirmation, and the atypical melt curves suggest that the FilmArray GI might yield false-positive Campylobacter results. These findings emphasize the importance of public health surveillance to identify potential issues with commercially available diagnostic tests.

IMPORTANCE

Enteric pathogens cause ~9.4 million illnesses annually in the United States. Clinical laboratories rely on culture-independent diagnostic testing platforms (CIDTs) for rapid and accurate diagnosis of enteric pathogens. Campylobacter, Salmonella, and Shiga-toxin-producing Escherichia coli (STEC) are three of the most identified enteric bacterial infections in Wisconsin. The BioFire FilmArray Gastrointestinal panel (FilmArray GI) is currently the most common CIDT used by Wisconsin clinical laboratories to diagnose Campylobacter, Salmonella, and STEC infections. However, the FilmArray GI has had notable issues and recalls in the past. Here, we used public health surveillance data to assess platform performance for these organisms. We analyzed percent positivity and culture confirmations based on testing platforms. Through our analysis, we identified potential false-positive Campylobacter results from the FilmArray GI, which were associated with atypical melt curve profiles on the BioFire platform. Public health surveillance can help identify potential issues with diagnostic platforms.

KEYWORDS: CIDT, Campylobacter, Salmonella, STEC, BioFire, FilmArray, gastrointestinal infection

INTRODUCTION

Campylobacter is a bacterium that affects the intestinal tract and occasionally the bloodstream of infected persons. Campylobacter infections cause approximately 1.5 million illnesses and 25,000 hospitalizations in the United States annually (1, 2). Campylobacter is among the most common reportable bacterial enteric pathogens in Wisconsin (3). Most Campylobacter infections occur by eating undercooked poultry products containing the bacteria, but can be found in other sources (e.g., contaminated water) (1, 3).

In Wisconsin, campylobacteriosis is a reportable condition with approximately 1,500 Campylobacter diagnoses every year (4). Clinical laboratories across the state routinely perform diagnostic tests for stool specimens from patients with clinical presentations consistent with enteric infections. Campylobacter can be diagnosed by stool culture or using culture-independent diagnostic platforms (CIDTs). During the past 10 years, CIDT use among clinical laboratories increased nationally (59). The BIOFIRE FilmArray (bioMérieux Inc., Marcy-l'Étoile, France) Gastrointestinal panel (FilmArray GI) is a commonly used CIDT platform. The FilmArray GI is the dominant platform used to diagnose enteric pathogens, including by 523 of 696 (75%) laboratories that performed the College of American Pathology (CAP) GI Panel, 5 Challenge (GIP5) proficiency testing in 2024. Although this is a commonly used platform, the U.S. Federal Drug Administration issued recalls of the FilmArray GI for false-positive Cryptosporidium and Campylobacter in 2019, and more recently, Norovirus in 2024 (10, 11). Atypical melt curve profiles were associated with false-positive Norovirus and Cryptosporidium results using FilmArray GI (12, 13).

A large clinical laboratory in Wisconsin contacted the Wisconsin State Laboratory of Hygiene (WSLH) because their percentage of culture-confirmed Campylobacter CIDT-positive specimens was lower when they switched their molecular diagnostic platform to the FilmArray GI in 2023. A second Wisconsin clinical laboratory also noted a substantial decrease in Campylobacter culture confirmations when they switched their CIDT platform to the FilmArray GI later that year. These findings led WSLH to use a multi-modal approach to investigate Campylobacter percent positivity, culture confirmation rates, specimen time in transport, and FilmArray GI melt curves.

MATERIALS AND METHODS

This study was reviewed by CDC and was conducted consistent with federal law and CDC policy (*45 C.F.R. part 46, 21 C.F.R. part 56; 42 U.S.C. Sect. 241(d); 5 U.S.C. Sect. 552 a; 44 U.S.C. Sect. 3501 et seq).

Clinical laboratory data to determine percent positivity

Clinical laboratory surveillance data from patients with diarrhea symptoms seeking standard-of-care diagnosis from January 1, 2018, to June 30, 2024, were used to investigate organism percent positivity. WSLH requests that clinical laboratories in Wisconsin submit weekly molecular diagnostic surveillance data through the Wisconsin Clinical Laboratory Network (WCLN). This state-wide surveillance request is open to all clinical laboratories performing molecular diagnostic testing. Requested data include the number of specimens tested, number of positive specimens, and CIDT used (14). We evaluated CIDT percent positivity of the most common reportable bacterial enteric pathogens in Wisconsin: Campylobacter, Salmonella, and Shiga-toxin producing Escherichia coli (STEC). Results from the FilmArray GI platform were compared to results from other CIDTs in aggregate. The CIDTs were BD Max Enteric Bacteria Panel (Becton, Dickinson and Company, Sparks, MD), Verigene Enteric Pathogens Nucleic Acid Test, and xTAG Gastrointestinal Pathogen Panel (Luminex Corporation, Austin, TX). Surveillance data without CIDT information, or data with the FilmArray GI listed together with another CIDT, were not included in the percent positivity analyses (36% of total clinical laboratory data submitted was excluded). Percent positivity was calculated by dividing the number of positive tests by the total number of specimens tested by FilmArray GI vs. other CIDTs. Quarterly and yearly percent positivity rates were calculated.

Enteric pathogen culture

Clinical laboratories submit positive CIDT specimens to WSLH for culture and further characterization. WSLH requested that primary stool specimens be transported in enteric transport medium (Para-Pak, Cary Blair, or equivalent) at room temperature, according to manufacturer’s instructions, with refrigeration preferred if in transit >24 hours. Stool specimens were streaked onto appropriate selective media and observed for growth. To culture Campylobacter, stool was plated onto Cefoperazone, Vancomycin, Amphotericin B Agar (CVA) and incubated in Campylobacter jars with altered atmosphere (10% hydrogen, 10% CO2, and nitrogen balance). Stool was also inoculated onto blood agar plates (BAP) by placing specimens on a 0.65 µm MCE membrane filter disc applied directly on the agar and incubated at 35–37°C for 15 minutes. The filter disc was removed from plates before incubation in Campylobacter jars with the altered atmosphere described above. CVA plates were incubated at 42°C, whereas BAP was incubated at 35–37°C. Plates were examined for growth after 72 hours of incubation. If no suspicious growth was observed, plates were re-incubated for another 72 hours at respective temperatures. Suspicious growth was screened with the oxidase test. Oxidase-positive organisms were identified using Bruker MALDI-TOF mass spectrometry (MALDI Biotyper® RTC library, 2021 version).

To culture Salmonella and STEC, stool was inoculated onto appropriate enrichment broth (Selenite broth for Salmonella and Gram-negative broth for STEC) and streaked onto selective media plates (MacConkey agar (MAC), Xylose Lysine Deoxychocolate agar (XLD), Hektoen Enteric agar (HE), and Bismuth Sulfite agar (BS) (if suspected S. Typhi) for Salmonella, and Sorbitol-MacConkey agar (SMAC) and Cefixime Tellurite Sorbitol-MacConkey agar (CT-SMAC) for STEC). Enrichment broth was incubated at 37°C with shaking for 18–24 hours, then streaked onto selective media plates. Plates were incubated at 37°C for 24 hours. For Salmonella, if no suspicious growth was observed, plates were incubated an additional 24 hours. Salmonella isolates were subcultured to BAP and identified using MALDI-TOF. For STEC culture, plates were screened for the presence of possible E. coli O157 colonies. Any E. coli O157 colonies (identified through slide agglutination with E. coli O157 antisera) were subcultured to BAP plates. If no O157 colonies were present, two morphologically distinct beta-hemolytic colonies were subcultured to BAP plates. STEC polymerase chain reaction (PCR) was performed on subcultured isolates.

Percent culture confirmation analysis

We analyzed culture results of specimens submitted to WSLH to assess the culture confirmation rates of CIDT-positive specimens. Data from clinical laboratories in Wisconsin that submitted > 500 specimens (top submitters) in the 5-year study period were used for this analysis. Seven clinical laboratories met the quantity criteria. We collected information on CIDT platform usage for these laboratories. To calculate the percent culture confirmation value, the number of specimens that had a culture with bacterial growth was divided by the total number of specimens tested per laboratory (FilmArray GI users vs. other CIDT). Welch’s t-test was used to calculate quarterly and yearly percent culture confirmations.

We also analyzed the time Campylobacter specimens spent in transport to assess if differences contributed to specimen stability that affected culture confirmation results. We used data from specimens submitted from January 2023 to December 2023 by top submitters to compare transport times for FilmArray GI specimens and those diagnosed using other CIDTs. Time in transport was calculated using the difference between the date collected at the clinical laboratory and the date received at WSLH. A logistic regression (generalized linear model) was used to test whether the success rates for the FilmArray GI and other CIDTs (in aggregate) are significantly different while accounting for variations across days.

Melt curve analysis

Recent publications described atypical melt curves responsible for producing false-positive Norovirus and Cryptosporidium results on FilmArray GI (12, 13). Therefore, we analyzed FilmArray GI-produced melt curves to understand their role in false-positive Campylobacter results. Two clinical laboratories using the FilmArray GI panel provided melt curve results for positive Campylobacter specimens. Melt curve analyses were used to verify target-specific amplification. The BIOFIRE FilmArray Torch System software was used to view melting curve results. We evaluated melt curves from 65 specimens: 36 from laboratory 1 and 29 from laboratory 2. We used WSLH culture results to categorize melt curves as either culture-confirmed or culture-negative specimens. Cultured-confirmed results included C. jejuni, C. helveticus or C. upsaliensis (C. helveticus/upsaliensis; not differentiated by MALDI-TOF), or C. coli species. Melt curves from FilmArray GI-positive specimens with confirmed culture growth were compared to FilmArray GI-positive specimens that were culture-negative. Melt curve results were used to assess typical melting temperature profiles for Campylobacter species in the specimens that were culture-confirmed. Melt curves from specimens with cultures that did not have growth were assessed for atypical melt curves, defined as curves that differed from typical melting temperature profiles for Campylobacter species.

RESULTS

Increased percent positivity with use of FilmArray GI

We analyzed 325,515 WCLN surveillance results from tests performed from January 1, 2018 to June 30, 2024. The FilmArray GI platform was used for 42% of diagnostic tests performed by clinical laboratories during the analysis period (Table S1). Yearly percent positivity for Campylobacter, Salmonella, and STEC tested by the FilmArray GI platform was higher compared to percent positivity by other CIDTs for every year analyzed. Campylobacter had the highest percent positivity increase among FilmArray GI-tested specimens (average 1.56-fold increase), compared to the percent positivity increases observed for Salmonella and STEC (0.57- and 0.63-fold increase, respectively) (Fig. 1; Fig. S1). Quarterly analysis showed an increase in percent positivity from July to September for each year analyzed, supporting seasonal trends for Campylobacter, Salmonella, and STEC diagnosis. Campylobacter FilmArray GI had the highest percent positivity in quarterly analysis (Fig. S1).

Fig 1.

Bar and line graphs display yearly trends in percent positivity and total tests for Campylobacter, Salmonella, and STEC from 2018 to 2024. Campylobacter and STEC show stable positivity rates, while Salmonella peaks in 2021 before declining.

Comparison of yearly percent positivity between the FilmArray GI and other CIDTs. Percent positivity for Campylobacter, Salmonella, and STEC based on WCLN surveillance from January 2018 to June 2024. (A–C) The primary Y-axis displays the total number of specimens from clinical laboratories surveillance data analyzed (gray bars). The secondary Y-axis represents yearly percent positivity by FilmArray GI (red) compared to other CIDTs (blue). *Analysis done up to June 30, 2024.

Lower Campylobacter culture confirmations from FilmArray GI-positive specimens

The higher percent positivity of results from the FilmArray GI compared to other CIDTs could be due to the FilmArray GI’s higher sensitivity and/or false-positive results (see Table S2 for the limit of detection for each platform). To investigate this further, we analyzed culture confirmation rates from high-volume submitting laboratories. Clinical laboratories submitted 4,460 specimens for Campylobacter culture from January 2018 to June 2024. Percent culture confirmations of positive CIDT Campylobacter tests among laboratories using FilmArray GI were significantly lower compared to laboratories using other CIDTs (average 62% vs. 78%, respectively; P < 0.05) (Fig. 2A; Fig. S2A). No significant differences were observed in Salmonella and STEC percent culture confirmations (P > 0.05) (Fig. 2A; Fig. S2A).

Fig 2.

Line graphs depict yearly culture confirmation rates for Campylobacter, Salmonella, and STEC from 2018 to 2024. Campylobacter and STEC show notable declines in confirmation rates in recent years, while Salmonella remains consistent with slight variation.

Comparison of culture confirmation of FilmArray GI versus other CIDTs. Yearly culture confirmations for Campylobacter, Salmonella, and STEC at WSLH from January 2018 to June 2024. (A–C) Yearly culture confirmation from high-volume submitting laboratories that use either FilmArray GI (black) or other CIDTs (blue) for organism diagnostic tests. Two laboratories switched to the FilmArrayR GI platform, with one in 2023 (blue to red transitions). *Analysis done up to June 30, 2024.

To understand if specimen transport from clinical laboratories to WSLH affected percent culture confirmations, we analyzed the number of days Campylobacter stool specimens spent in transport in 2023. Time in transport was analyzed for 694 specimens. All 694 specimens spent 1–7 days in transport. The majority (604/694) of CIDT-positive Campylobacter specimens spent ≤4 days in transport (Fig. 3A). Percent culture confirmations of FilmArray GI-positive specimens were consistently lower than confirmations of positive specimens detected through other platforms, regardless of days spent in transport (P < 0.05) (Fig. 3B).

Fig 3.

Bar charts compare specimen transport time and culture confirmation. Most specimens were transported within 2–4 days, with day 2 being most common. Culture confirmation rates generally decline with longer transport times, except for an outlier at day 7.

Impact of days in transport of Campylobacter specimens on culture confirmation. Days spent in transport is the time between the date collected by the clinical laboratory and the day received at WSLH from January 2023 to December 2023. (A) Percent of positive FilmArray GI specimens that spent 1–7 days in transport to WSLH (red). Percent of positive specimens by other CIDTs that spent 1–7 days in transport to WSLH (blue). (B) Percent culture confirmation for positive FilmArray GI specimens (red) compared to other CIDTs (blue) sent to WSLH. Logistic regression analysis P < 0.05.

One clinical laboratory transitioned from another molecular CIDT platform to the FilmArray GI platform in spring 2023. This laboratory observed lower culture confirmations for their Campylobacter CIDT-positive specimens after transitioning tests to the FilmArray GI. There were no changes in culture protocol at WSLH during this time. The clinical laboratory observed a sharp decrease in percent culture confirmations with the switch to FilmArray GI: from 87% in 2022 to 60% in 2023 and 54% in 2024 (Fig. 2A). We collaborated with this laboratory and another large clinical laboratory using the FilmArray GI to further investigate this decrease in percent culture confirmations.

Atypical melt curves for Campylobacter specimens with culture-negative results

Two clinical laboratories in Wisconsin shared melt curve data from specimens that were FilmArray GI-positive. We analyzed melt curves associated with 29 cultures that grew bacterial pathogens and 36 cultures that did not grow bacterial pathogens, and results were similar from both laboratories (Fig. 4). Among 29 curves from cultures that grew bacterial pathogens, 22 were C. jejuni, four were C. helveticus/upsaliensis, and three were C. coli. Melt curves for each Campylobacter species were distinct (Fig. 4A). Among 36 melt curves from cultures that did not grow any bacterial pathogens, 14 melt curves matched C. jejuni (n = 6), C. helveticus/upsaliensis (n = 6), or C. coli (n = 2). These 14 likely represent true positives that were not able to be cultured because of low concentration or lack of live organisms. However, the majority (22/36; 61%) of cultures that did not grow any bacterial pathogens had melt curves distinct from any cultures that grew bacterial pathogens (Fig. 4B). The predominant melt curve (20/36; 56%) from cultures that did not grow any bacterial pathogens was associated with the Campy 2 target of FilmArray, with one tall peak and a long tail toward lower temperature (left side of the peak). Although similar to the C. coli curve, this unique signature among cultures that do not grow any bacterial pathogens has a peak at 80°C–81°C, which is higher than the C. coli curve that has a peak at ~78°C and does not have a long tail toward lower temperature (Fig. S3). Two additional melt curves from culture that did not grow any bacterial pathogens were uniquely abnormal (Fig. 4B).

Fig 4.

Melt curves for culture-confirmed Campylobacter depict C. jejuni as most common, followed by C. helveticus/upsaliensis and C. coli. Non-culture-confirmed samples typically have uniqe melt curve profiles from culture-confirmed samples.

Representative FilmArray GI melt curves from two different clinical laboratories. Top: Lab 1. Bottom: Lab 2 (except C. helviticus/upsaliensis screenshots). Both are from Lab 1, as no cultures positive for those species were identified for Lab 2 during the study period. (A) Positive FilmArray GI melt curve for specimens with culture-confirmed Campylobacter. (B) Positive FilmArray GI melt curve for specimens with no Campylobacter culture growth has Campy 2 target amplification. 14/36 specimens with no culture growth had melt curves consistent with C. jejuni, C. helveticus/upsaliensis, or C. coli culture confirmed melt curves.

DISCUSSION

We performed percent positivity, culture confirmation, and melt curve analyses to assess the performance of the FilmArray GI platform for Campylobacter diagnosis in Wisconsin. Campylobacter diagnosis by the FilmArray GI increased 1.56-fold across the WCLN from 2018 to 2024 compared to other CIDTs. Some of the increase in percent positivity might be attributed to higher sensitivity in Campylobacter diagnosis. However, the marked decrease in percent culture confirmations from FilmArray GI Campylobacter-positive specimens suggests that the increase is associated with, at least in part, false-positive results. Moreover, a decrease in culture confirmation when a clinical laboratory transitioned to the FilmArray GI in 2023 further supports a platform-dependent cause, as no other protocol changes occurred. Lastly, the atypical BIOFIRE FilmArray Torch system melt curves for Campylobacter-positive specimens with culture that did not grow any bacterial pathogens suggest nonspecific amplification with the Campy 2 target. Taken together, the increase in percent positivity, the decrease in percent culture confirmation, and the unique signature in cultures that did not grow any bacterial pathogens suggest that aberrant melt curves are associated with false-positive Campylobacter results on FilmArray GI.

Although distinct, the C. coli melt curve had similar characteristics to the predominant culture-negative melt curve. The similarities in the Campy 2 target amplification for culture-confirmed C. coli and culture-negative melt curves create a challenge in validating results through melt curve analysis before reporting. These findings emphasize the need for improvement in testing platform specificity and highlight the importance of Campylobacter culture to aid in accurate diagnosis.

This study has several limitations, including a limited melt curve sample size (n = 65), especially for C. coli, which has a low prevalence in Wisconsin. Although C. jejuni and C. coli are all detected by the FilmArray GI and other CIDTs in this study, it is possible that the FilmArray GI also detects C. upsaliensis, a species that we are not always able to culture successfully. Our melt curve analysis, however, suggests that the specimens that are culture-negative at WSLH are not C. upsaliensis, as they have atypical melt curves. Alternatively, results may highlight differences in the limit of detection (LOD) for Campylobacter species by the FilmArray GI compared to other platforms. However, the average LOD across all other platforms is 4 × 104 cfu/mL, similar to that of the FilmArray GI (ranges for all platforms in Table S2). We did not perform other molecular confirmation on clinical laboratory specimens that were CIDT-positive, because culture is the standard for Campylobacter confirmation for public health surveillance. Lastly, the laboratory-based surveillance data submitted by our clinical partners is done manually every week by those who opt in to participate and may be subject to errors or missing data, such as total specimens tested, total positive numbers, no platform entry (not a required entry), and/or missed week. To minimize errors due to incorrect reporting, only inputs with all required fields for analysis were analyzed.

CIDTs are important tools in enhancing diagnostic efforts, offering operational advantages. The FilmArray GI is one such tool that offers fast turnaround time and ease of use. However, false-positive diagnoses may have implications in patient care, such as potential for overtreatment, unnecessary antibiotic use, and strain on resources. In addition, false-positive results can impact national and state-level pathogen monitoring, making it crucial to identify diagnostic issues in order to maintain accurate surveillance. Here, we report how laboratory-based surveillance can support efforts in identifying and reporting potential issues with commercially available diagnostic tests.

ACKNOWLEDGMENTS

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Contributor Information

Annie Sanchez, Email: uqp0@cdc.gov.

Erin McElvania, Endeavor Health, Evanston, Illinois, USA.

SUPPLEMENTAL MATERIAL

The following material is available online at https://doi.org/10.1128/jcm.00028-25.

Figure S1. jcm.00028-25-s0001.TIF.

Quarterly percent positivity graphs.

jcm.00028-25-s0001.tif (146KB, tif)
DOI: 10.1128/jcm.00028-25.SuF1
Figure S2. jcm.00028-25-s0002.TIF.

Average quarterly percent culture confirmations graphs.

jcm.00028-25-s0002.tif (214.4KB, tif)
DOI: 10.1128/jcm.00028-25.SuF2
Figure S3. jcm.00028-25-s0003.TIF.

No culture confirmed and C. coli culture confirmed melt curve comparison.

jcm.00028-25-s0003.tif (656.9KB, tif)
DOI: 10.1128/jcm.00028-25.SuF3
Table S1. jcm.00028-25-s0004.TIF.

WCLN data analysis summary.

jcm.00028-25-s0004.tif (106.9KB, tif)
DOI: 10.1128/jcm.00028-25.SuF4
Table S2. jcm.00028-25-s0005.TIF.

Molecular platform LODs.

jcm.00028-25-s0005.tif (114.2KB, tif)
DOI: 10.1128/jcm.00028-25.SuF5

ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

REFERENCES

  • 1. Centers for Disease Control and Prevention . 2024. Campylobacter infection (Campylobacteriosis). U.S. Department of Health and Human Services. Available from: https://www.cdc.gov/Campylobacter/about
  • 2. Tack DM, Marder EP, Griffin PM, Cieslak PR, Dunn J, Hurd S, Scallan E, Lathrop S, Muse A, Ryan P, Smith K, Tobin-D’Angelo M, Vugia DJ, Holt KG, Wolpert BJ, Tauxe R, Geissler AL. 2019. Preliminary incidence and trends of infections with pathogens transmitted commonly through food - foodborne diseases active surveillance network, 10 U.S. Sites, 2015-2018. MMWR Morb Mortal Wkly Rep 68:369–373. doi: 10.15585/mmwr.mm6816a2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Division of Public Health, Bureau of Communicable Disease . 2006. Campylobacteriosis (Campylobacter sp.) disease fact sheet series. Wisconsin Department of Health Services. Available from: https://www.dhs.wisconsin.gov/publications/p4/p42034.pdf [Google Scholar]
  • 4. Division of Public Health, Bureau of Communicable Disease . n.d. Wisconsin Epi Express. Wisconsin Department of Health Services. Available from: https://www.dhs.wisconsin.gov/disease/epiexpress.htm [Google Scholar]
  • 5. Iwamoto M, Huang JY, Cronquist AB, Medus C, Hurd S, Zansky S, Dunn J, Woron AM, Oosmanally N, Griffin PM, Besser J, Henao OL, Centers for Disease Control and Prevention (CDC) . 2015. Bacterial enteric infections detected by culture-independent diagnostic tests--FoodNet, United States, 2012-2014. MMWR Morb Mortal Wkly Rep 64:252–257. [PMC free article] [PubMed] [Google Scholar]
  • 6. Huang JY, Henao OL, Griffin PM, Vugia DJ, Cronquist AB, Hurd S, Tobin-D’Angelo M, Ryan P, Smith K, Lathrop S, Zansky S, Cieslak PR, Dunn J, Holt KG, Wolpert BJ, Patrick ME. 2016. Infection with pathogens transmitted commonly through food and the effect of increasing use of culture-independent diagnostic tests on surveillance--foodborne diseases active surveillance network, 10 U.S. Sites, 2012-2015. MMWR Morb Mortal Wkly Rep 65:368–371. doi: 10.15585/mmwr.mm6514a2 [DOI] [PubMed] [Google Scholar]
  • 7. Riddle MS, DuPont HL, Connor BA. 2016. ACG clinical guideline: diagnosis, treatment, and prevention of acute diarrheal infections in adults. Am J Gastroenterol 111:602–622. doi: 10.1038/ajg.2016.126 [DOI] [PubMed] [Google Scholar]
  • 8. Marder EP, Cieslak PR, Cronquist AB, Dunn J, Lathrop S, Rabatsky-Ehr T, Ryan P, Smith K, Tobin-D’Angelo M, Vugia DJ, Zansky S, Holt KG, Wolpert BJ, Lynch M, Tauxe R, Geissler AL. 2017. Incidence and trends of infections with pathogens transmitted commonly through food and the effect of increasing use of culture-independent diagnostic tests on surveillance - foodborne diseases active surveillance network, 10 U.S. Sites, 2013-2016. MMWR Morb Mortal Wkly Rep 66:397–403. doi: 10.15585/mmwr.mm6615a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Shea S, Kubota KA, Maguire H, Gladbach S, Woron A, Atkinson-Dunn R, Couturier MR, Miller MB. 2017. Clinical microbiology laboratories' adoption of culture-independent diagnostic tests is a threat to foodborne-disease surveillance in the United States. J Clin Microbiol 55:10–19. doi: 10.1128/JCM.01624-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Food and Drug Administration . 2019. Class 2 Device Recall FilmArray Gastrointestinal (GI) Panel. U.S. Department of Health and Human Services. Available from: https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfRes/res.cfm?id=171388 [Google Scholar]
  • 11. Food and Drug Administration . 2024. Class 2 Device Recall BIOFIRE FilmArray Gastrointestinal (GI) Panel. U.S. Department of Health and Human Services. Available from: https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfres/res.cfm?id=205002 [Google Scholar]
  • 12. Matic N, Lawson T, Young M, Jang W, Bilawka J, Gowland L, Ritchie G, Leung V, Payne M, Stefanovic A, Romney MG, Lowe CF. 2024. Melting curve analysis reveals false-positive norovirus detection in a molecular syndromic panel. J Clin Virol 173:105697. doi: 10.1016/j.jcv.2024.105697 [DOI] [PubMed] [Google Scholar]
  • 13. Association of Public Health Laboratories . 2022. bioMerieux-DX-REG-122060-01-CSN-2022-167-0-GI-FP-Crypt_US-Letter. Available from: https://www.aphl.org/Materials/FS/bioMerieux-DX-REG-122060-01-CSN-2022-167-0-GI-FP-Crypt-US-Letter.pdf
  • 14. Wisconsin State Laboratory of Hygiene . n.d. Laboratory surveillance report archive. University of Wisconsin-Madison. Available from: https://www.slh.wisc.edu/wcln-surveillance/surveillance/virology-surveillance/laboratory-surveillance-report-archive/ [Google Scholar]

Associated Data

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

Supplementary Materials

Figure S1. jcm.00028-25-s0001.TIF.

Quarterly percent positivity graphs.

jcm.00028-25-s0001.tif (146KB, tif)
DOI: 10.1128/jcm.00028-25.SuF1
Figure S2. jcm.00028-25-s0002.TIF.

Average quarterly percent culture confirmations graphs.

jcm.00028-25-s0002.tif (214.4KB, tif)
DOI: 10.1128/jcm.00028-25.SuF2
Figure S3. jcm.00028-25-s0003.TIF.

No culture confirmed and C. coli culture confirmed melt curve comparison.

jcm.00028-25-s0003.tif (656.9KB, tif)
DOI: 10.1128/jcm.00028-25.SuF3
Table S1. jcm.00028-25-s0004.TIF.

WCLN data analysis summary.

jcm.00028-25-s0004.tif (106.9KB, tif)
DOI: 10.1128/jcm.00028-25.SuF4
Table S2. jcm.00028-25-s0005.TIF.

Molecular platform LODs.

jcm.00028-25-s0005.tif (114.2KB, tif)
DOI: 10.1128/jcm.00028-25.SuF5

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

RESOURCES