Journal article
Selection and management considerations to enhance outcomes in patients supported by left ventricular assist devices
Current opinion in cardiology, v 37(6), pp 502-510
01 Nov 2022
PMID: 36094516
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Purpose of review
Left ventricular assist devices (LVADs) are life-saving therapies for patients in end-stage heart failure (HF) with reduced ejection fraction regardless of candidacy for heart transplantation. Multiple clinical trials have demonstrated improved morbidity and mortality with LVADs when compared to medical therapy alone. However, the uptake of LVADs as a therapeutic option in a larger section of end-stage HF patients remains limited, partly due to associated adverse events and re-hospitalization.
Recent Findings
Accurate assessment and staging of HF patients is crucial to guide appropriate use of LVADs. Innovative methods to risk stratify patients and manage cardiac and noncardiac comorbidities can translate to improved outcomes in LVAD recipients. Inclusion of quality of life metrics and measurements of adverse events can better inform heart failure cardiologists to help identify ideal LVAD candidates. Addition of machine learning algorithms to this process may guide patient selection to improve outcomes.
Summary
Patient selection and assessment of reversible medical comorbidities are critical to the postoperative success of LVAD implantation. Identifying patients most likely to benefit and least likely to experience adverse events should be a priority.
Metrics
Details
- Title
- Selection and management considerations to enhance outcomes in patients supported by left ventricular assist devices
- Creators
- Matthew Lander - Allegheny Health NetworkAnju Bhardwaj - The University of Texas Health Science Center at HoustonManreet Kanwar - Allegheny Health Network
- Publication Details
- Current opinion in cardiology, v 37(6), pp 502-510
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Medicine (Graduate); Cardiology
- Web of Science ID
- WOS:000864185100011
- Scopus ID
- 2-s2.0-85139572529
- Other Identifier
- 991021932100104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Cardiac & Cardiovascular Systems