Human albumin in extracorporeal prime: effect on platelet function and bleeding
Bibliographic record
Abstract
PURPOSE: Synthetic starches have been positioned as an equivalent substitute for human albumin in extracorporeal prime, with both providing osmotic and oncotic pressure. Another effect of albumin is its ability to coat the synthetic surfaces of an extracorporeal circuit with a biopassivating protein monolayer. Whether this protein biopassivation has any benefit to the patient, assessed by platelet count, platelet function and 24-hour bleeding rate, is considered. METHODS: Patients presenting for coronary artery bypass at a Canadian tertiary care hospital were randomized into two groups until a final study size of 20 patients was obtained. The Study Group received 2.5 g of human albumin in the extracorporeal prime and the Control Group remained protein free. Both groups included Voluven 6% as a synthetic starch. Blood samples were obtained at three intervals; Pre-bypass, During bypass (30 minutes after initiation of bypass), and Post-bypass. These samples were assayed for platelet function, platelet count and hemoglobin. Chest tube drainage over a 24-hour period was monitored. RESULTS: Platelet count was significantly higher in the During sample in the Study Group (196 ± 56.5 x 10(9)/ml versus 160 ± 18.5 x 10(9)/ml, p<0.05), however, this difference was no longer significant with the Post-bypass sample (135 ± 36.0 x 10(9)/mL versus 127 ± 1 9 x 10(9)/mL). Platelet function assays (PFA) showed no significant differences. Chest tube drainage after 24 hours was significantly lower in the Study Group (586 ± 131.8 ml/24 h versus 741 ± 272.5 ml/24 h, p<0.05). CONCLUSIONS: Human albumin can passivate the synthetic surfaces of the extracorporeal circuit, which is supported by observations of preserved platelet count and reduced chest tube drainage. Although some statistically significant benefits were observed, the practical benefits of passivating an extracorporeal circuit with human albumin may be minimal.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".