Renal effect of meloxicam versus ketoprofen in anaesthetized pseudo-normovolaemic piglets
Bibliographic record
Abstract
Due to renal COX-2 constitutive expression, meloxicam is presumably deleterious for kidney function in critical situations. The present study investigates the influence of intravenous meloxicam on renal parameters and compares it with a nonselective COX inhibitor, ketoprofen. Piglets (n = 6 in each group) were treated with ketoprofen (2 mg.kg(-1)), meloxicam (0.2 mg.kg(-1)), or saline at the beginning of anaesthesia. Under intravenous anaesthesia, pigs were instrumented for cardiovascular, respiratory, and renal function evaluation, including urinary flow (UF), glomerular filtration rate (GFR), and renal blood flow (RBF). After baseline data collection (U0), data collection consisted of six 20-minute periods (U1 to U6). In all groups, the time course of cardiovascular and respiratory parameters remained within normal ranges. A small decrease in cardiac output and an increase in mean systemic arterial blood pressure (p = 0.002) occurred in all groups. In the placebo group, a similar decrease was observed for RBF and cardiac output, with troughs of -10.1% +/- 6.8%, and -12.9% +/- 3.2%, respectively. GFR and UF, however, remained stable over time in this group. Ketoprofen significantly decreased UF (-29.3% +/- 5.5% max at U3), with similar decreases in GFR and RBF. Meloxicam induced a transient (at U2) and small decrease in UF with no difference, at any time point, with the placebo group. The renal effects of meloxicam appear minimal and transient in anaesthetized piglets. This study demonstrates the safety of meloxicam for preemptive surgical analgesia under conditions of normovolaemia. Fluid therapy appears recommended to prevent any renal dysfunction.
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 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) | 0.001 | 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 | 0.000 | 0.001 |
| 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".