Phenotypic Characterization of Extended Spectrum Beta-lactamase, Class C Cephalosporinase and Carbapenemase-Producing Klebsiella Species Isolated from Patients Consulted at Four Yaounde-Based Hospitals.
Bibliographic record
Abstract
Abstract Background: Klebsiella spp. are bacteria of medical importance for their role in opportunistic infections. These infections are often difficult to treat because of acquired resistance to one or several families of antimicrobials. The present study aimed at detecting Extended Spectrum Beta-lactamase (ESBL), Class C cephalosporinase (AmpC) and carbapenemase resistant phenotypes of Klebsiella spp. isolated from patients consulted at four Yaounde-based hospitals. Results: The frequency of the species isolated was Klebsiella pneumoniae (69%), K. oxytoca (14%), K. ozaenae (12%) and K. rhinoscleromatis (5%). Isolates were most resistant to penicillins (90%), sulphonamides (84%), cepaholosporins (80%), and least resistant to carbapenems (10.2%). Three isolates namely: two K. oxytoca and one K. pneumoniae were resistant to all twenty-eight (28) antibiotics tested. Klebsiella pneumoniae was the species with the most multidrug resistant isolates (59.4%). Most isolates (83.6%) expressed at least one resistance phenotype, while 63.6% of the isolates expressed all three phenotypes. Many of the isolates were ESBL producers (71.6%), while fewer isolates were carbapenemase (26.7%) and AmpC (6.6%) producers. Three carbapenemases (Klebsiella pneumoniae carbapenemase-KPC, Metallo-Beta Lactamase-MBL and OXA-48) were detected from 26.7% of the isolates and the combination KPC and MBL were the most detected phenotypes (12.9%). Conclusion: These results reveal that resistance of Klebsiella spp. to cephalosporins is high and this may be exacerbated as a result of the co-expression of AmpC and carbapenemases. About a quarter of the isolates had acquired carbapenemases that confer resistance to all beta-lactamases and carbapenems which constitute last line drugs. The resistance burden is further strengthened in isolates that acquired more than one carbapenemase aggravating associated patient morbidity and mortality. Therefore, it is necessary to continue monitoring antimicrobial resistance of local strains for better informed decisions on empirical treatment guide and better patient care.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".