Novel Insights into the Direct Removal of Endotoxin by Polymyxin B Hemoperfusion
Bibliographic record
Abstract
AIM: To demonstrate the capacity of polymyxin B-direct hemoperfusion (PMX-DHP) column Toraymyxin® 20R (PMX-20R) in removing endotoxin (LPS) from perfused blood, serum and plasma. METHODS: Endotoxin-spiked bovine serum was perfused in PMX-20R as per the recommended performance testing protocol. Samples were taken at various time points to assess the amount of endotoxin removed during a 4-h session. In another set of experiments, FITC-labelled LPS (FITC-LPS) was spiked into a pool of human whole blood, followed by perfusion with the spiked blood for 2 h in order to allow FITC-LPS to bind PMX-20R. The amount of LPS was extracted from the columns and the amount of specifically bound LPS was determined by fluorometry. RESULTS: PMX-20R columns perfused with bovine serum had an average binding rate of 88%, equivalent to approximately 12 µg of LPS. When PMX-20R was perfused with human whole blood, the columns bound an average of 20 µg of FITC-LPS. CONCLUSION: PMX-20R can bind LPS in all the biological fluids tested. The calculated binding capacity of 12-20 µg LPS suggests that in septic cases where endotoxin is present in the circulation, PMX-20R is able to adsorb clinically significant levels of endotoxin.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".