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Survival After Left Ventricular Assist Device: A Society of Thoracic Surgeons National Intermacs Database Risk Model
J Hunter Mehaffey1, Brandon A Singletary2, Seth Lewis2
1West Virginia University, Morgantown, West Virginia.
The Annals of Thoracic Surgery
|February 15, 2026
Summary
Risk models for Left Ventricular Assist Devices (LVADs) using only fully magnetic devices performed best. Including data from older LVADs did not improve prognostic accuracy for 3-year survival.
Area of Science:
- Cardiovascular Surgery
- Biomedical Engineering
- Medical Device Technology
Background:
- Existing Left Ventricular Assist Device (LVAD) risk models lack current relevance due to device evolution.
- The study addresses the prognostic accuracy of LVAD risk models when incorporating data from diverse durable LVADs versus solely contemporary fully magnetic devices.
Purpose of the Study:
- To assess the prognostic accuracy of 3-year survival models for Left Ventricular Assist Devices (LVADs).
- To compare the performance of models using data exclusively from fully magnetic LVADs versus those including older durable LVADs.
Main Methods:
- Utilized The Society of Thoracic Surgeons (STS) National Intermacs Database (2013-2023) for primary continuous flow LVAD recipients.
- Stratified patients into three cohorts based on LVAD type and era: fully magnetic devices, newer mixed devices, and older mixed devices.
- Employed machine learning (Oblique Random Survival Forests) to compare three models predicting 3-year survival.
Main Results:
- Among fully magnetic LVAD patients, 20.5% experienced mortality within 3 years.
- All three predictive models demonstrated similar discrimination (AUCs ~0.70).
- The model using only fully magnetic LVAD data (Model 1) showed superior calibration (Brier score) compared to models including older devices, especially beyond the first year post-implantation.
Conclusions:
- Risk models incorporating data from only fully magnetic LVADs exhibit superior or comparable performance to those including older device data.
- Findings support the current practice of using fully magnetic LVAD patient data for risk modeling.
- The study provides a framework for evaluating LVAD risk models across different device generations.
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