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Predicting post-LVAD outcome: Is there a role for cognition?
Marykay A Pavol1, Amelia K Boehme2, Joshua Z Willey1
1Division of Stroke, Department of Neurology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Cognitive function before left ventricular assist device (LVAD) implantation predicts stroke and death risk in heart failure patients. Poorer cognitive scores indicate higher post-operative risk, highlighting the importance of pre-implant cognitive assessment.
Area of Science:
- Cardiology
- Neurology
- Medical Devices
Background:
- Cognition impacts stroke and death risk in various patient groups.
- This association is unexplored in heart failure (HF) patients receiving left ventricular assist device (LVAD) therapy.
- Pre-implant cognitive function may predict post-LVAD stroke and mortality.
Purpose of the Study:
- To investigate the relationship between pre-operative cognitive function and post-operative stroke and death in LVAD recipients.
- To determine if cognitive test scores predict adverse outcomes after LVAD implantation.
Main Methods:
- Retrospective analysis of 59 HF patients with pre-LVAD cognitive assessments.
- Cognitive function measured across attention, memory, language, and visual-motor speed, averaged into a single z-score.
- Survival analyses (900-day follow-up, censored for transplant) evaluated stroke and death predictors.
Main Results:
- Lower average cognitive z-scores significantly predicted increased risk of post-LVAD stroke (HR=0.513, p=0.012) and death (HR=0.166, p=0.001).
- Patients experiencing stroke or death had worse pre-operative cognitive performance.
- Cognitive z-score was the sole significant predictor of stroke and death when included in the model.
Conclusions:
- Pre-operative cognitive performance is a significant predictor of post-LVAD stroke and mortality.
- Findings align with studies in non-LVAD populations, suggesting potential early neurologic vulnerability.
- Further research is needed to optimize patient selection, management, and advanced care planning based on cognitive status.
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