New Delhi metallo-β-lactamase in Jamaica
Bibliographic record
Abstract
INTRODUCTION: The global dissemination of the New Delhi metallo-beta-lactamase (NDM) gene among certain strains of bacteria has serious implications since the infections caused by such organisms pose a therapeutic challenge. Although the NDM gene has been detected in various parts of the world, this is the first report of its detection in the English-speaking Caribbean. The NDM producing Klebsiella pneumoniae was isolated from an Indian patient who had recently relocated to Jamaica. METHODOLOGY: Identification and susceptibility testing of the K. pneumoniae isolate was performed using the Vitek 2 automated system) in keeping with Clinical and Laboratory Standards Institute (CLSI) standards. It was identified as a metallobetalactamase producer using the Rosco KPC+MBL kit. Genotypic screening for common betalactamase (including carbapenemase) genes, was carried out using two multiplex PCRs: one for SHV-, TEM-, CTX-M-, OXA-1-, and CMY-2-types, and one for VIM-, KPC-, IMP-, OXA-48, GES-, and NDM-types. Strain typing was conducted by pulsed-field gel electrophoresis (PFGE) using XbaI and multi-locus sequencing (MLS). Plasmid isolation and analysis was also performed. RESULTS: K. pneumoniae (N11-02395), not previously associated with the dissemination of the NDM in India, Sweden or the UK, was found to harbor the NDM-1 gene on plasmid pNDM112395. CONCLUSION: The identification of the NDM-1 gene underscores the need for effective surveillance and infection control measures to identify and prevent spread of multidrug resistant Gram negative bacilli. Strict infection control measures implemented for this patient helped to prevent the spread of this organism to other patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".