Hemodynamics, fluids & transfusion
Development and validation of a predictive model for transfusion in major abdominal surgery: a multicentre retrospective study
Authors' conclusion
This nomogram, integrating seven preoperative variables, can effectively predict intraoperative transfusion in major abdominal surgery.
Study context
- Population
- Patients undergoing major abdominal surgery
- Participants
- 128,749 / 71,590 / 3,701
- Comparison
- Development vs Validation A vs Validation B
- Developmentn = 128,749reference
- Validation An = 71,590
- Validation Bn = 3,701
- Outcome
- Discrimination (C-statistic) of a nomogram of preoperative variables for predicting intraoperative red blood cell (RBC) transfusion
Methodological detailsLASSO logistic regression, nomogram
- LASSO logistic regression
- Nomogram
Performance
As reported in the abstract
Discriminative ability of the nomogram for intraoperative RBC transfusion (C-statistic)
Development
0.857
C-statistic · 95% CI 0.852–0.861
Validation A
0.847
C-statistic · 95% CI 0.840–0.854
Validation B
0.848
C-statistic · 95% CI 0.822–0.873
Further findings
Incidence of intraoperative RBC transfusion
Original publication
Development and validation of a predictive model for transfusion in major abdominal surgery: a multicentre retrospective study. Br J Anaesth. Published 18 July 2025. doi:10.
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