Racial and ethnic differences in transfusion rates in adolescent scoliosis surgery: Preoperative anemia as a mediator of disparity
Bibliographic record
Abstract
BACKGROUND: Pediatric patients from minoritized racial and ethnic groups receive red blood cell (RBC) transfusions more frequently while undergoing major surgical procedures. Our objective was to identify the contribution of preoperative anemia to racial and ethnic differences in RBC transfusion rates in adolescent spine surgery. STUDY DESIGN AND METHODS: This is a multicenter, retrospective cohort study of the National Surgical Quality Improvement Program Pediatric database, 2016 to 2021 for patients in the United States and Canada. RESULTS: Adolescents identifying as non-Hispanic Black, Hispanic, and other race/ethnicity presented with higher rates of preoperative anemia than non-Hispanic White adolescents (16.3%, 10.6%, and 9.9%, vs. 7.8%, respectively; p < .0001) and were transfused at higher rates (14.4%, 11.9%, 16.5%, vs. 10.0%, respectively; p < .0001). Minoritized groups demonstrated higher adjusted odds of RBC transfusion compared with non-Hispanic Whites (non-Hispanic Black: aOR 1.45 95% CI 1.26-1.65, Hispanic: aOR 1.17 95% CI 0.96-1.41, other race/ethnicity: aOR 1.63 95% CI 1.26-2.09). Of the total effect of minoritized race and/or ethnicity on RBC transfusion, 13.9% was attributed to the indirect effect through preoperative anemia. DISCUSSION: In this cohort study, patients from minoritized racial and ethnic groups received RBC transfusions at a higher rate than non-Hispanic White patients, and the difference was partially mediated by preoperative anemia. Future efforts to minimize transfusions and improve health equity should target this modifiable risk factor alongside other sources of disparity and discrimination.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".