medRxivJClub
Prediction of elective surgical red blood cell transfusion reveals surgeon-level variation
medRxiv · · Preprint · Open access
Turkulainen, Arvas + 2 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Surgeon identity meaningfully improves preoperative prediction of allogeneic RBC transfusion in 279,905 elective procedures at Helsinki University Hospital, increasing AUPRC from 0.440 to 0.472 (+0.032).
- Why it matters: Patient and procedure factors do not fully explain transfusion variation, and quantifying surgeon-level contribution can improve patient blood management and elective blood supply planning.
- What they did: In a retrospective 2021–2025 cohort, four CatBoost models predicted any allogeneic RBC transfusion through postoperative day 7 using only variables available ≥7 days pre-surgery, with performance measured by AUPRC on a 20% test set.
- The result: Transfusion occurred in 2.2% of cases, and adding pseudonymised surgeon identity to a procedure-adjusted model increased AUPRC by +0.032 (95% CI 0.020–0.044), with surgeon identity ranking third among 72 features by permutation importance.
The findingWhy it mattersWhat they didThe result
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