Can Intra-Operative Cell Salvage Reduce the Rate of Allogeneic Transfusion in Pediatric Spinal Deformity Surgery?
Bibliographic record
Abstract
Study Design Retrospective cohort study. Objectives The objective of this study was to characterize the association between cell-salvage and allogeneic transfusion rate in pediatric patients undergoing posterior arthrodesis for scoliosis. Methods NSQIP Pediatric database years 2016-2022 was used. Patients under the age of 18 who received posterior arthrodesis with 7 or more surgical levels for spinal deformity correction were included. Rates of cell-salvage and allogeneic transfusion were determined. We assessed the impact of cell-salvage on the rate of allogeneic transfusion using chi-square test and multivariable logistic regression. Results There were 34,241 patients in this study. The rate of allogeneic transfusion was 21.6% (n = 7407). The allogeneic transfusion rates for idiopathic, neuromuscular, and congenital/syndromic scoliosis were 12.3%, 50.8%, and 25.9%, respectively. Cell-salvage was used in 71.1% of patients (n = 24,344). In the multivariable regression analysis, longer operative time ( P < .001), non-idiopathic scoliosis ( P < .001), hematocrit less than 35 ( P < .001), and ≥13 surgical levels ( P < .001) were associated with higher odds of allogeneic transfusion. Use of cell-salvage ( P < .001), increasing age ( P < .001), and increasing patient weight ( P < .001) were associated with significantly lower odds of allogeneic transfusion. In a subanalysis, use of cell-salvage was associated with reduced rate of allogeneic transfusion in patients with idiopathic scoliosis. Cell-salvage was not associated with reduced rates of allogeneic transfusion in neuromuscular and congenital/syndromic scoliosis. Conclusion This is the largest study investigating the impact of cell-salvage on rate of allogeneic transfusion in pediatric spinal deformity surgery. Use of cell-salvage is associated with reduced allogeneic transfusion rates in idiopathic scoliosis surgery.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".