DAILY VARIATION IN ENDOTOXIN LEVELS IS ASSOCIATED WITH INCREASED ORGAN FAILURE IN CRITICALLY ILL PATIENTS
Bibliographic record
Abstract
High blood levels of endotoxin on admission to the intensive care unit are predictive of adverse outcomes, including organ failure and death. However, the significance of changes in endotoxin levels over time has not been evaluated. We examined whether dynamic daily changes in endotoxin levels resulted in the development of greater organ dysfunction over time in critically ill patients. The study was a retrospective analysis of data from the longitudinal phase of a prospective observational multicenter cohort study of endotoxin levels in patients admitted to the intensive care unit. We analyzed 345 patients. Daily variation in endotoxin levels was assessed by calculating the number of inflections in the curve generated by plotting endotoxin levels against time. The degree of organ dysfunction over time was analyzed using a calculation of the total area under the curve generated by plotting the Multi Organ Dysfunction Score against time. From 1,301 endotoxin activity assay results, patients with dynamic daily variation in endotoxin levels as measured by a greater number of inflections had a greater degree of total organ dysfunction as measured by Multi Organ Dysfunction Score against time (P < 0.05). The arithmetic mean standard deviation of endotoxin activity assay results increased stepwise in the zero, one, and two inflection groups supporting the association between inflections and variability. Endotoxin activity assay variability was found to be independent of infection status (P = 0.52). Daily dynamic variation in endotoxin levels is a marker of increased severity of illness as measured by burden of total organ dysfunction over time. Further studies are warranted to assess the role of daily variation in endotoxin levels in the pathogenesis and potential therapy of organ failure in the critically ill.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".