Effects of lidocaine and steroids on breast milk‐induced lung injury in rabbits<sup>1</sup>
Bibliographic record
Abstract
BACKGROUND: Local anesthetics inhibit mediator and free radical release from polymorphonuclear granulocytes and migration to their site of action. In a recent study, lidocaine significantly improved the alveolar-arterial oxygen difference gradients (A-aDO2) after tracheal instillation of acid in rabbits. The purpose of the current study was to evaluate the effects of lidocaine and pulse-dose steroids on human breast milk (HBM)-induced lung injury in rabbits. METHODS: After Animal Care Committee approval, six adult rabbits were assigned to each of three treatments: control, lidocaine, and steroids. After induction of anesthesia and controlled ventilation, acidified HBM at pH 1.8 and volume 1.2 ml.kg(-1) was instilled into the trachea. Rabbits in the lidocaine group received lidocaine 2 mg.kg(-1) i.v. before tracheal instillation and then 2 mg.kg(-1).h(-1) i.v. continuously. Rabbits in the steroid group received 30 mg.kg(-1) methylprednisolone before tracheal instillation. A-aDO2, static compliance and blood for white cell count, and cytokine interleukin-8 (IL-8) concentration were obtained at baseline and at 1 and 4 h postinstillation. After 4 h, the rabbits were killed. The left upper lobe was isolated and excised to determine the wet/dry ratio. The right lung was lavaged with 30 ml normal saline to determine the white cell count and the concentrations of albumin and IL-8. Data were analyzed using one- or two-way anova with repeated measures and an Student-Newman-Keuls (SNK) posthoc test (P < 0.05). RESULTS: All rabbits completed the protocol. A-aDO2 and CO2 tensions increased significantly at 1 and 4 h compared with baseline, although there were no differences among the treatments (P < 0.05). Compliance in the control group decreased compared with lidocaine and steroids. CONCLUSION: We conclude that preemptive lidocaine and steroids attenuate in part HBM-induced lung injury in rabbits.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".