Dose-Dependent Effects of Recombinant Human Interleukin-11 on the Systemic Hemodynamic Function and Urination
Bibliographic record
Abstract
The purpose of this study was to determine whether recombinant human interleukin-11 (rhIL-11) could dose-dependently improve the hemodynamic function. Using a swine hemorrhagic shock model, rhIL-11 was given at the beginning of resuscitation. The animals were randomized to receive a single dose of rhIL-11 (5, 20, or 50 microg/kg, group I to III for respectively) or saline (group IV). Blood, urine and both pleural and peritoneal effusion were thus obtained and analyzed. The mean arterial pressure (MAP) was higher post-resuscitation (PR) in group III (62.9+/-8.2 mmHg) than in groups I, II and IV (54.9+/-1.7, 53.9+/-4.3, 55.9+/-9.4 mmHg, respectively) (P<0.01). The urine output (I: 999+/-428, II: 1249+/-180, III: 1434+/-325, IV: 958+/-390 ml) and the cardiac output (CO) (I: 3.01+/-0.66, II: 3.30+/-0.49, III: 3.43+/-0.57, IV: 2.73+/-0.49 L/min.) increased in a dose dependent manner of rhIL-11. CO level and urine output were significantly higher in group III than in group IV (P<0.05). In addition, the volume of third space fluid loss (pleural and peritoneal effusion) of group III was significantly lower than other groups (I: 157+/-32, II: 138+/-32, III: 82+/-21, IV: 125+/-32 ml) (P<0.05). In conclusion, even a low dose of rhIL-11 improved the hemodynamic functions dose-dependently in a porcine model of hemorrhagic shock, although the relationship did not demonstrate a simple linearity.
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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 | 0.001 | 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 | 0.001 |
| 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".