The prevalence of CMY-2, OXA-48 and KPC-2 genes in clinical isolates of Klebsiella spp.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Klebsiella pneumoniae is a Gram-negative bacterium which causes several human infections. Treatment of infections related to K. pneumoniae has become problematic, because of increasing trend of extended spectrum β-lactamases producing (ESBLs) strains. The present study was aimed to detect the prevalence of ESBL-producing Klebsiella spp. and KPC-2, CMY-2 and OXA-48 β-lactamase encoding genes in clinical isolates of Klebsiella spp. isolated from hospitalized patients. In this cross-sectional study carried out from February to August 2014, 144 isolates of Klebsiella spp. were collected from different clinical specimens in hospitals in the North of Iran. Klebsiella isolates were identified using standard microbiological procedure. Antimicrobial susceptibility patterns were determined using disk diffusion method in accordance with CLSI recommendation. The presence of antibiotic resistance genes were investigated by PCR method. Among 144 Klebsiella spp., 118 isolates were identified as K. pneumoniae and 26 isolates as Klebsiella oxytoca. Antibiotic susceptibility test showed the most resistance rates were against amoxicillin (96.5%) and ampicillin (95.8%). On the other hand, the most effective antibiotic was revealed to be imipenem with resistance rate of 4.9% (Table 2). Among 144 isolated Klebsiella strains, 57 cases (39.6%) were ESBL producers. The OXA-48 and KPC-2 genes were not detected among Klebsiella spp. during the present study, but 21.1% of isolates contained CMY-2 gene. This is the first report of CMY-2 gene detection in Klebsiella spp. in Iran. The homology between CMY-2 genes identified in isolates from Northern Iran and in other countries showed the wide dispersion of this gene around the world.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it