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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Risk Assessment in Patients with a Left Ventricular Assist Device Across INTERMACS Profiles Using Bayesian Analysis
ASAIO journal (1992), v 65(5), pp 436-441
Jul 2019
PMID: 30688695
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Current risk stratification models to predict outcomes after a left ventricular assist device (LVAD) are limited in scope. We assessed the performance of Bayesian models to stratify post-LVAD mortality across various International Registry for Mechanically Assisted Circulatory Support (INTERMACS or IM) Profiles, device types, and implant strategies. We performed a retrospective analysis of 10,206 LVAD patients recorded in the IM registry from 2012 to 2016. Using derived Bayesian algorithms from 8,222 patients (derivation cohort), we applied the risk-prediction algorithms to the remaining 2,055 patients (validation cohort). Risk of mortality was assessed at 1, 3, and 12 months post implant according to disease severity (IM profiles), device type (axial versus centrifugal) and strategy (bridge to transplantation or destination therapy). Fifteen percentage (n = 308) were categorized as IM profile 1, 36% (n = 752) as profile 2, 33% (n = 672) as profile 3, and 15% (n = 311) as profile 4-7 in the validation cohort. The Bayesian algorithms showed good discrimination for both short-term (1 and 3 months) and long-term (1 year) mortality for patients with severe HF (Profiles 1-3), with the receiver operating characteristic area under the curve (AUC) between 0.63 and 0.74. The algorithms performed reasonably well in both axial and centrifugal devices (AUC, 0.68-0.74), as well as bridge to transplantation or destination therapy indication (AUC, 0.66-0.73). The performance of the Bayesian models at 1 year was superior to the existing risk models. Bayesian algorithms allow for risk stratification after LVAD implantation across different IM profiles, device types, and implant strategies.
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Details
- Title
- Risk Assessment in Patients with a Left Ventricular Assist Device Across INTERMACS Profiles Using Bayesian Analysis
- Creators
- Manreet K Kanwar - Allegheny Health NetworkLisa C Lohmueller - Carnegie Mellon UniversityJeffrey Teuteberg - Stanford MedicineRobert L Kormos - University of Pittsburgh Medical CenterJoseph G Rogers - Duke UniversityRaymond L Benza - Allegheny Health NetworkJoann Lindenfeld - Vanderbilt University Medical CenterColleen McIlvennan - University of Colorado DenverStephen H Bailey - Allegheny Health NetworkSrinivas Murali - Allegheny Health NetworkJames F Antaki - Cornell University
- Publication Details
- ASAIO journal (1992), v 65(5), pp 436-441
- Publisher
- Lippincott
- Grant note
- R01 HL122639 / NHLBI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Cardiothoracic Surgery; Medicine (Graduate); Cardiology
- Web of Science ID
- WOS:000474149400009
- Scopus ID
- 2-s2.0-85069269531
- Other Identifier
- 991021932187404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Transplantation