Sepsis, mitochondrial failure and multiple organ dysfunction
Bibliographic record
Abstract
PURPOSE: The purpose of this review is to consider the state of oxidative stress, failure of the antioxidant systems and mitochondrial failure as the main physiopathological mechanisms leading to multiple organ dysfunction during sepsis. PRINCIPAL FINDINGS: Sepsis is a clinical syndrome caused by a severe infection that triggers an exaggerated inflammatory response. Involved in the pathogenesis of sepsis are the activation of inflammatory, immune, hormonal, metabolic and bioenergetic responses. One of the pivotal factors in these processes is the increase of reactive species accompanied by the failure of the antioxidant systems, leading to a state of irreversible oxidative stress and mitochondrial failure. In a physiological state, reactive species and antioxidant systems are in redox balance. The loss of this balance during both chronic and infectious diseases leads to a state of oxidative stress, which is considered to be the greatest promoter of a systemic inflammatory response. The loss of the redox balance, together with a systemic inflammatory response during sepsis, can lead to progressive and irreversible mitochondrial failure, energy depletion, hypoxia, septic shock, severe sepsis, multiple organ dysfunction and death of the patient. CONCLUSION: Knowledge of the molecular processes associated with the development of oxidative stress should facilitate the development of effective therapies and better prognosis for patients with sepsis and organ dysfunction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".