Reduction in Allogeneic Blood Products With Routine Use of Autotransfusion in Open Elective Infrarenal Abdominal Aortic Aneurysm Repair
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Concern about allogeneic blood product cost and complications has prompted interest in blood conservation techniques. Intraoperative autotransfusion (IAT) is currently not used routinely by vascular surgeons in open elective infrareanl abdominal aortic aneurysm (AAA) repair. The objective of this study is to review our experience with IAT and its impact on blood transfusion. METHODS: We retrospectively reviewed the medical records of consecutive patients treated electively over a 4-year period and compared 2 strategy related to IAT, routine use IAT (rIAT) versus on-demand IAT (oIAT). Outcomes measured were number of units of allogeneic red blood cells and autologous red blood cells transfused intraoperatively and postoperatively, preoperative, postoperative, and discharge hemoglobin levels; postoperative infections; length of postoperative intensive care stay; and length of hospital stay. T-independent and Fisher exact test were used. RESULTS: A total of 212 patients were included, 38 (18%) in the rIAT and 174 (82%) in the oIAT. Groups were similar except for an inferior creatinine and a superior mean aneurysm diameter for the rIAT group. Patients in the rIAT group had a lower rate of transfusion (26% vs 54%, P = .002) and a lower mean number of blood unit transfused (0.8 vs 1.8, P = .048). These findings were still more significant for AAA larger than 60 mm (18% rIAT vs 62% oIAT, P = .0001). Postoperative hemoglobin was superior in the rIAT group (107 vs 101 g/L, P = .01). Mean postoperative intensive care length of stay was shorter for the rIAT group (1.1 vs 1.8 days, P = .01). No difference was noted for infection, mortality, or hospital length of stay. CONCLUSION: The rIAT reduced the exposure to allogeneic blood products by more than 50%, in particular for patients with AAA larger than 60 mm. These results support the use of rIAT for open elective infrarenal AAA repair.
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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 | 0.001 | 0.005 |
| 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".