TEMPORAL LINKS BETWEEN ENDOTOXIN ACTIVITY LEVELS AND INTERLEUKIN 6 CONCENTRATIONS IN ABDOMINAL SEPSIS
Bibliographic record
Abstract
In severe human peritonitis, the precise pathophysiological importance of endotoxin is controversial. Prognostic and therapeutic studies have yielded conflicting results. The current study wanted to investigate qualitative, quantitative, and temporal associations between blood endotoxin activity (EA) levels and acute inflammatory reactions. We conducted a prospective observational study in 30 patients with intra-abdominal infections who had undergone specific focus therapies (surgical/radiological/pharmaceutical interventions) and who required intensive care therapy. We performed sequential postinterventional measurements of blood EA levels and plasma interleukin 6 (IL-6) concentrations until recurrence or cure. There was no association between daily EA levels and IL-6 concentrations, or daily EA levels and changes in IL-6 concentrations on subsequent days. We found, however, a significant association between EA levels and IL-6 concentrations, when newly changing EA levels were referred to subsequent changes in IL-6 concentrations (P < 0.05). Increasing EA levels were followed by a 90% increase of subsequent IL-6 concentrations during the next 24 to 48 h, whereas decreasing/stable EA levels were associated with slightly decreasing IL-6 concentrations (P < 0.05). Our findings suggest an altered response of the innate immune system because postinterventional EA levels did not vary with concomitant or subsequent inflammatory reactions and because inflammatory responses to newly increasing EA levels were delayed and comparatively small. Still, our results support the concept that endotoxin is a trigger of inflammatory reactions in human peritonitis.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".