Endotoxemic Shock: A Molecular Phenotype in Sepsis
Bibliographic record
Abstract
BACKGROUND: Marked heterogeneity exists among patients with sepsis, both in terms of distribution of organ dysfunction and its severity. Such heterogeneity could be explained by the presence of multiple subtypes of sepsis that may have important implications for treatment. METHODS: Narrative review of published literature involving endotoxin from 1970 to 2022. RESULTS: In humans, endotoxemia is most consistently associated with a specific pattern of organ failure including shock, endothelial dysfunction, acute kidney injury, and hepatic dysfunction. This pattern is consistent with complement activation and uncontrolled inflammation, two features of endotoxemia. Unbiased discovery using artificial intelligence also identifies a subtype of sepsis which features these same organ failures. CONCLUSION: Endotoxin appears to represent an important molecular phenotype of sepsis with unique clinical features and high mortality.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.031 | 0.002 |
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; both teacher heads agree on what is shown here.
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".