Cardiopulmonary bypass induced inflammation: pathophysiology and treatment. An update
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cardiac surgery with cardiopulmonary bypass (CPB) induces an acute phase reaction that has been implicated in the pathogenesis of several postoperative complications. Recent data indicate that a complex sequence of events leads to the final activation of leukocytes and endothelial cells (EC), which is responsible for cell dysfunction in different organs. Activation of the contact system, endotoxemia, ischemia and reperfusion injury and surgical trauma are all potential triggers of inflammation following CPB. Different pro- and anti-inflammatory mediators (cytokines, adhesion molecules) are involved and their release is mediated by intracellular transcription factors (nuclear factor-kappa B, NF-kappa B). In this review, we examine recent advances in the understanding of the pathophysiology of the CPB-induced acute phase reaction and evaluate the different pharmacological, technical and surgical strategies used to reduce its effects. Emphasis is given to the central role of transcription factor NF-kappa B in the complex mechanism of the inflammatory reaction and to the effects of compounds such as heparin and glycosaminoglycans, phosphodiesterase inhibitors and protease inhibitors whose role as anti-inflammatory agent has only recently been recognized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| 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) | 0.000 | 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 it