A Single, Ultra‐High Dose Aminoglycoside Therapy in a Rat Model of E. coli Induced Septic Shock
Bibliographic record
Abstract
Introduction Septic shock is a life threatening condition often due to Gram negative bacterial infections and is responsible for around 200,000 deaths every year in United States of America alone. Our research focuses on determining the potential of a single, ultrahigh dose aminoglycoside therapy for accelerated bacterial clearance with minimal to manageable side effects in a rat model of E. coli induced septic shock. Methods: Study in uninfected animals Gentamicin was administered intravenously at 80 and 160 mg/kg doses to anesthetized and intubated Sprague Dawley rats. Mean arterial pressure, heart rate, respiratory rate and percentage oxygen saturation were determined. The occurrence and time course of neuromuscular paralysis/ventilator dependency, renal injury and auditory toxicity after ultra‐high dosing of gentamicin was determined. Renal injury was determined by Creatinine clearance and histology. Auditory brain stem response studies were performed to assess the auditory toxicity. Septic shock induced animals Septic shock was induced in rats by surgical, intra‐peritoneal implantation of a gelatin capsule containing E. coli bort (ATCC 700973) in a fibrinogen and alfa‐cellulose matrix. Gentamicin was intravenously administered at 5, 10, 20, 40, 80 and 160 mg/kg doses. Results Ultra high gentamicin dosed animals were found to develop neuromuscular paralysis with ventilator dependency for 20 – 40 minutes and recovered thereafter. Rats did not exhibit any auditory and renal toxicity. Complete eradication of bacterial counts from blood occurred following ultra‐high doses. Conclusion Rats were able to tolerate single, ultra‐high doses of gentamicin with complete eradication of bacterial counts from blood. Research is supported by University of Manitoba
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".