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Record W4389030908 · doi:10.1093/ofid/ofad500.644

575. Optimization of a Nitrocefin-Based Rapid Test for the Detection of the Cefazolin Inoculum Effect (CzIE) in Methicillin-Susceptible <i>Staphylococcus aureu</i>s

2023· article· en· W4389030908 on OpenAlexaff
Sara I Gomez Villegas, Diana Panesso, Kavindra V. Singh, Sandra Rincón, Lina P Carvajal, Karen Jacques-Palaz, Samie A Rizvi, Carey‐Ann D. Burnham, April N. Abbott, Jennifer Dien Bard, Lars F. Westblade, Stephanie A. Fritz, Barbara Zimmer, Tanis C. Dingle, Susan M. Butler‐Wu, William R. Miller, Jinnethe Reyes, César A. Arias

Bibliographic record

VenueOpen Forum Infectious Diseases · 2023
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAmpicillinBroth microdilutionMedicineMicrobiologyCefepimeCefazolinGold standard (test)BacteremiaAntibioticsBiologyMinimum inhibitory concentrationAntibiotic resistanceInternal medicineImipenem

Abstract

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Abstract Background The cefazolin (Cz) inoculum effect, defined as a Cz MIC ≥16 µg/mL at 107 CFU/mL in MSSA isolates, has been associated with poor outcomes in adult patients with MSSA bacteremia and pediatric patients with osteomyelitis. Broth microdilution at high inoculum is the gold standard for the detection of the CzIE, but this method is time and labor-intensive. We developed a nitrocefin-based rapid test that can identify the CzIE among MSSA(Figure 1). However, the original protocol for this rapid test includes the use of ampicillin in solution, which is difficult to prepare and unstable once reconstituted. In this study, we aimed to show that simple elution from ampicillin disks available in the typical clinical microbiology lab performs as well as an ampicillin powder-based assay.Figure 1.Original Protocol Nitrocefin Rapid Test Original Protocol for the performance of the Nitrocefin-based rapid test as published by Rincon et at (Rincon et al, JCM, 2021) Methods We included 107 unique MSSA bloodstream isolates which had been previously characterized (Dingle et al., JCM, 2022). The CzIE was determined using gold standard broth microdilution at high inoculum (107 CFU/mL). The published protocol of the nitrocefin test (Rincon et al., JCM, 2021) was modified as follows (Figure 2): instead of adding ampicillin from powder to BHI broth (150 ug/mL), ampicillin disks (10 ug) of 2 different brands (Oxoid and BD) were added to 1 mL of BHI broth of 2 different brands (Oxoid, BD) and incubated for 2 hours at room temperature with frequent shaking (Figure 3). The remaining steps of the protocol were not modified. The original protocol was used as control. Performance metrics were calculated for the complete data set.Figure 2.Modification to Nitrocefin-based rapid test protocol Modification of the Step 1 from the original protocol to include ampicillin disks instead of ampicillin from powder. Figure 3. Experiments and Controls. 2 different brands of BHI broth and 2 different brands of ampicillin disks(10 ug) were compared to the use of ampicillin from powder to a final concentration of 150 ug/mL Results 51.4%(55/107) of the isolates were CzIE+ by reference broth microdilution at high inoculum. When using Oxoid BHI broth, the sensitivity and specificity of the test were 96.3% and 90.3% regardless of the ampicillin form (disk vs powder) or disk brand (Table 1). When using BD BHI broth, the sensitivity and specificity of the test were 69.1% and 94.2%, regardless of the ampicillin form or disk brand.Table 1.ResultsPerformance metrics of the Nitrocefin-based rapid test with the original protocol (Control A and Control B) and the modified protocol using ampicillin disks from 2 different brand (BD: Experiments C and D; Oxoid: Experiments E and F) as well as 2 different brands of BHI broth (BD: Control A, experiments C and E; Oxoid: Control B, experiments D and F) Conclusion The modification of the nitrocefin-based rapid to use ampicillin disks instead of ampicillin powder did not impact the accuracy of the tests as it was able to correctly detect the CzIE in isolates, regardless of the brand of ampicillin disk. Implementation of this test may contribute to therapeutic decisions in deep-seated MSSA infections. Disclosures Jennifer Dien Bard, PhD, Abbott Molecular: Grant/Research Support|BioMerieux: Advisor/Consultant|BioMerieux: Grant/Research Support|BioMerieux: Honoraria|Genetic Signature: Advisor/Consultant|Genetic Signature: Grant/Research Support|Luminex: Grant/Research Support|Salve: Stocks/Bonds|Thermo Fisher: Honoraria Lars Westblade, PhD, Accelerate Diagnostics, Inc.: Grant/Research Support|bioMerieux, Inc.: Grant/Research Support|Hardy Diagnostics: Grant/Research Support|Roche Molecular Systems, Inc.: Advisor/Consultant|Roche Molecular Systems, Inc.: Grant/Research Support|Selux Diagnostics, Inc.: Grant/Research Support|Shionogi, Inc.: Advisor/Consultant|Talis Biomedical: Advisor/Consultant William R. Miller, M.D., Merck: Grant/Research Support|UpToDate: Honoraria

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.013
GPT teacher head0.282
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2023
Admission routes1
Has abstractyes

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