Retrospective analysis of autologous blood use in bimaxillary repositioning osteotomy surgery: a quality improvement study
Bibliographic record
Abstract
BACKGROUND: Multiple studies have considered the necessity of preoperative autologous blood donation before bimaxillary orthognathic osteotomies. In the context of a quality improvement project, this topic was also investigated in our institution. Furthermore, the transfusion practice was analyzed and the correlations between patient, operative variables, and blood loss were studied. STUDY DESIGN AND METHODS: In accordance with the recommendations of the Federal Medical Association and the Federal Ministry for Health and Social Security, a transfusion demand list was compiled using data of 82 patients who underwent bimaxillary orthognathic surgery between 1997 and 2005. The maximum blood loss tolerable without transfusion (MBL) was calculated for each patient on the basis of sex, weight, height, and preoperative hematocrit (Hct). This was compared with the actual transfusion and blood loss data. RESULTS: An autologous blood donation was carried out in 65 of 82 patients (79.3%). Sixty-two of 65 autologous blood donors (95.4%) and 2 of 17 patients (11.8%) without autologous blood donation received transfusion. The actual blood loss did not exceed the calculated MBL in 48 of the 82 cases. Nevertheless, 31 of these 48 patients (64.6%) received transfusions. For patients with a low calculated MBL, only a trend to a higher transfusion rate was observed, although the actual blood loss in these cases more often exceeded the individually calculated MBL (p < 0.01). In addition, transfusion triggers (Hct 0.22 or hemoglobin 7.5 g/dL) were also more often seen in cases with low calculated MBL (p < 0.05). CONCLUSIONS: In this study, an inappropriate transfusion practice in patients undergoing bimaxillary orthognathic osteotomies after preoperative autologous blood donation was detected. Calculation of the individual MBL should be used to help identify patients at high risk for transfusion and guide adequate methods to decrease the need of homologous blood.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".