MétaCan
Menu
Back to cohort
Record W4412492619 · doi:10.1128/spectrum.00441-25

Performance evaluation of the NG-TEST CARBA 5 and Genobio K.N.I.V.O. detection K-Set lateral flow assays for the detection of carbapenemases

2025· article· en· W4412492619 on OpenAlexaff
Chloe N. Calica, Neda Domjacic, Jennifer Dacanay, Ethel C. de Carvalho Lopes, Mariel S. Mardoquio, Yan Chen, Ramzi Fattouh

Bibliographic record

VenueMicrobiology Spectrum · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Identification and Susceptibility Testing
Canadian institutionsUniversity of TorontoToronto Public Health
Fundersnot available
KeywordsAcinetobacter baumanniiPseudomonas aeruginosaKlebsiella pneumoniaeMorganella morganiiBiologyMicrobiologyKlebsiella oxytocaAcinetobacterBacteriaEscherichia coliAntibioticsGeneGenetics

Abstract

fetched live from OpenAlex

ABSTRACT Infection with carbapenemase-producing organisms (CPOs) is associated with significant morbidity and mortality among hospitalized patients. Thus, the identification of CPOs is an important function of clinical microbiology laboratories. This study evaluates the performance of two lateral flow assays (LFAs), the NG-Test CARBA 5 (CARBA 5) and Genobio K.N.I.V.O. Detection K-Set (Genobio), for the detection of carbapenemases using well-characterized clinical and reference isolates of gram-negative bacterial species. Both LFAs are designed to detect KPC, NDM, VIM, IMP, and OXA-48-like carbapenemases from bacterial growth within 15 minutes. In total, 152 isolates were tested: 10 Acinetobacter baumannii , 12 Pseudomonas aeruginosa , and 130 from various Enterobacterales . Among these, 132 harbored a carbapenemase, and 20 were carbapenemase-negative. Additionally, LFAs were scored for background color and test indicator line intensity. For Enterobacterales , the CARBA 5 had an overall positive agreement of 100%, while Genobio had a positive agreement of 98.5% because of a failure to detect IMP in a Klebsiella pneumoniae isolate and false cross-reactivity for NDM and OXA-48 in a KPC-positive Morganella morganii . Both LFAs demonstrated a positive agreement of 100% among carbapenemase-producing A. baumannii and P. aeruginosa isolates. Neither LFA falsely detected carbapenemases among carbapenemase-negative isolates, nor was any positivity observed among isolates that carried an off-target carbapenemase. In terms of test indicator line intensity, both LFAs showed comparable performance; however, the Genobio LFA displayed a propensity for higher background signal. Overall, both LFAs demonstrated very good performance in detecting select carbapenemases and offered a fast turnaround time, straightforward interpretation, and minimal hands-on time. IMPORTANCE This study contributes to the field by providing additional information on the performance of two commercial tests, known generally as lateral flow assays (LFA). These assays are used to identify a family of proteins, called carbapenemases, that cause antibiotic resistance and greatly limit the choices of antibiotics that can be used to treat infection. Our study evaluates the performance of two LFAs in a variety of bacteria, including some that are commonly studied (members of the Enterobacterales ) as well as others where less test performance information is available ( Pseudomonas aeruginosa and Acinetobacter baumannii ). Our findings show that the LFAs provide a fast turnaround time and require minimal hands-on time in comparison to other tests. In addition, we provide information about practical factors that could negatively affect how the results are interpreted in busy clinical laboratories, such as the ease of “seeing” and interpreting the results.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.250
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueMicrobiology SpectrumSame topicBacterial Identification and Susceptibility TestingFrench-language works237,207