Hemodynamics, fluids & transfusion
Construction of a prediction model for perioperative blood transfusion in elderly hip fracture patients: a retrospective study
Authors' conclusion
In this study, we identified surgery type, preoperative hemoglobin level, platelet count, osteoporosis, and cerebrovascular disease as the risk factors for postoperative blood transfusion in elderly hip fracture patients. The nomogram, established based on these risk factors, showed an acceptable discriminative ability to predict intraoperative blood transfusion in elderly patients during hip fracture surgery.
Study context
- Population
- Elderly patients undergoing hip fracture surgery, Xiangyang Central Hospital (Hubei, China), January 2021–December 2023
- Participants
- 1,092 patients
- Exposure
- Training set vs Test set
- Outcome
- Perioperative blood transfusion (prediction model performance)
Methodological detailssingle-centre, prediction model (nomogram)
- Single-centre
- Prediction model (nomogram)
Main finding
As reported in the abstract
Nomogram discrimination (AUC)
| Group | AUC |
|---|---|
| Training set | 0.730 (95% CI: 0.686-0.773) |
| Test set | 0.726 (95% CI: 0.671-0.781) |
AUC
Training set0.730 (95% CI: 0.686-0.773)
Test set0.726 (95% CI: 0.671-0.781)
Observational data: associations, not effects.
Original publication
Construction of a prediction model for perioperative blood transfusion in elderly hip fracture patients: a retrospective study. Perioper Med (Lond). Published 14 November 2025. doi:10.
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