Detection and Characterization of Carbapenem resistant Gram-negative bacilli isolates recovered from hospitalized patients at Soba University Hospital, Sudan
Bibliographic record
Abstract
Abstract Background:Antimicrobial resistance (AMR) poses a threat to global health security. Whilst over the past decade, there has been an increase in reports of nosocomial infections globally caused by carbapenem resistant Gram-negative bacilli (GNB), data from Africa have been scanty. We performed a study of carbapenem resistance genes among GNB isolated from patients treated in hospitals in Khartoum state, Sudan.Methods:A cross-sectional study was conducted at Soba University Hospital (SUH) and Institute of Endemic Diseases, University of Khartoum for the period October 2016 to February 2017. A total of 206 GNB isolates from different clinical specimens were analyzed for carbapenem resistance genes using phenotypic tests and affirmed by genes detection. Multiplex PCR was performed for each strain to detect the carbapenemase genes, including the blaNDM, blaVIM, blaIMP, blaKPC, and blaOXA-48. In addition to blaCTXM, blaTEM and blaSHV. DNA sequencing and bioinformatics analysis were used to detect genes subtypes.Findings:Of 206 isolates, 171 (83%) were confirmed resistant phenotypically and 121 (58.7%) isolates were positive for the presence of one or more carbapenemase gene. New Delhi metallo-β-lactamase (NDM) types were the most predominant genes, blaNDM 107(88.4%). Others included blaIMP 7 (5.7%), blaOXA-48 5(4.1%), blaVIM 2 (1.6%) and blaKPC 0 (0%). Co- resistance genes with NDM producing GNB were detected in 87 (81.3%) of all blaNDM positive isolates. A significant association between phenotypic and genotypic resistance was observed (P- value < 0.001). NDM-1 was the most sub type was observed in 75 isolates (70 %), other subtypes were NDM- 5 and NDM-6. Infections due to Carbapenem resistant GNB are increasing at SUH, with the blaNDM being the prevalent genes among clinical isolates and belong to the Indian lineage.Conclusions:The frequency of carbapenemase producing bacilli was found to be improperly high in Khartoum hospitals. NDM was found to be the most prevalent carbapenemase gene among clinical isolates. Close surveillance across all hospitals in Sudan is required. The relative distribution of Carbapenemase genes among GNB in nosocomial infections in Africa needs to be defined.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".