Preoperative autologous blood donation reduces the need for allogeneic blood products: a prospective randomized study.
Bibliographic record
Abstract
OBJECTIVE: We sought to assess the efficacy of preoperative autologous blood donation in reducing patient exposure to allogeneic blood products following elective cardiac surgery. METHODS: We included 48 patients in a prospective study and randomly assigned them into the control or treatment group. We excluded patients with aortic stenosis, main trunk stenosis and unstable angina. Group A (n=23; coronary disease n=21 and valvular disease n=2) was the control group, and group B (n=25; coronary disease n=21, valvular disease n=4) received preoperative autologous blood donation. All patients had cardiopulmonary bypass surgery, and we processed mediastinal blood with a cell-saver device before reinfusion. All patients received aprotinin, and we reinfused blood shed from the mediastinum postoperatively. RESULTS: No major peri- or postoperative complications occurred. We interrupted preoperative blood donation in 2 patients (8%) because of worsened angina pectoris. The mean time between the first blood donation and surgery was 22.5 (standard deviation [SD] 9.4, range 12-50) days. In group A, 9 patients (39.1%) were exposed to allogeneic blood products. In group B, 11 patients (47.8%) were exposed to blood products (p=0.73), and 4 (16%) were exposed to allogeneic blood products (p=0.036). CONCLUSION: Preoperative blood donation was completed in 92% of the targeted low-risk population. The procedure significantly reduced exposure to perioperative allogeneic blood products.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".