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Updated: Jan 31, 2026

Use of Two Intracorporeal Ventricular Assist Devices As a Total Artificial Heart
Published on: May 11, 2018
Novel Model to Predict Gastrointestinal Bleeding During Left Ventricular Assist Device Support
Michael Yaoyao Yin1, Shane Ruckel1, Abdallah G Kfoury2
1Division of Cardiology, Department of Medicine (M.Y.Y., S.R., I.T., E.M.G., J.N.-N., J.S., G.J.S., J.C.F., S.G.D., O.W.-P.).
A new Utah bleeding risk score helps predict gastrointestinal bleeding (GIB) in continuous-flow left ventricular assist device (CF-LVAD) patients. This tool stratifies risk, aiding personalized management strategies for CF-LVAD recipients.
Area of Science:
- Cardiology
- Medical Devices
- Gastroenterology
Background:
- Gastrointestinal bleeding (GIB) is a significant complication in continuous-flow left ventricular assist device (CF-LVAD) patients.
- Accurate GIB risk assessment is crucial for patient selection, informed consent, and post-implant care.
- Developing a predictive model for GIB in CF-LVAD recipients is essential.
Purpose of the Study:
- To derive and validate a predictive model for gastrointestinal bleeding (GIB) in patients supported by continuous-flow left ventricular assist devices (CF-LVADs).
Main Methods:
- A cohort of 351 CF-LVAD recipients from 2004-2017 was analyzed.
- GIB was defined as a hemoglobin decrease of ≥2 g/dL.
- A weighted score, the Utah bleeding risk score, was developed using pre-implant variables and internally validated.
Main Results:
- GIB occurred in 120 (34%) patients after a median follow-up of 196 days.
- Independent predictors of GIB included age >54, prior bleeding, coronary artery disease, chronic kidney disease, severe RV dysfunction, low pulmonary artery pressure, and elevated fasting glucose.
- The Utah bleeding risk score effectively stratified patients: low risk (4.8%), intermediate risk (39.8%), and high risk (83.8%).
Conclusions:
- The Utah bleeding risk score is a novel, simple tool for personalized GIB risk estimation in CF-LVAD patients.
- This scoring system can aid clinicians in developing tailored, risk-based strategies to mitigate GIB.
- Implementing this score may reduce the burden of GIB on individual patients and healthcare systems.
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