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Gastrointestinal Bleeding During Long-Term Left Ventricular Assist Device Support: External Validation of UTAH
Giuseppe Vadalà1,2, Cristina Madaudo2, Alessandra Fontana3
1Division of Cardiology, University Hospital "P. Giaccone", Via Del Vespro 129, 90100 Palermo, Italy.
Journal of Cardiovascular Development and Disease
|March 26, 2025
Summary
The UTAH bleeding risk score (UBRS) accurately predicts gastrointestinal bleeding (GIB) in left ventricular assist device (LVAD) patients. Other scores like ARC-HBR and HASBLED were less effective in this population.
Area of Science:
- Cardiology
- Medical Devices
- Gastroenterology
Background:
- Gastrointestinal bleeding (GIB) is a frequent complication in patients with left ventricular assist device (LVAD) support.
- The UTAH bleeding risk score (UBRS) is the sole existing model for predicting GIB, but requires external validation.
- The predictive accuracy of other bleeding risk scores (ARC-HBR, HASBLED) in LVAD patients remains untested.
Purpose of the Study:
- To validate the UTAH bleeding risk score (UBRS) in a cohort of LVAD patients.
- To compare the predictive accuracy of UBRS against the ARC-HBR and HASBLED scores for bleeding events in LVAD patients.
Main Methods:
- Retrospective analysis of 75 consecutive patients undergoing LVAD implantation.
- Evaluation of major adverse events and bleeding events from 2010 to 2021.
- Assessment of score accuracy using Receiver Operating Characteristic (ROC) curve analysis.
Main Results:
- A high incidence of major adverse events (77.3%) and major bleeding (37.3%) was observed.
- Gastrointestinal bleeding constituted the majority of major bleeding events (43%).
- UBRS demonstrated strong discriminatory power (AUC=0.86), outperforming ARC-HBR (AUC=0.61) and HASBLED (AUC=0.52).
Conclusions:
- The UBRS was confirmed as an accurate tool for stratifying bleeding risk in LVAD patients.
- Gastrointestinal bleeding is a significant, life-threatening complication associated with VAD support, impacting patient survival and increasing re-hospitalization rates.

