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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Sequential Pattern Mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant
IEEE journal of biomedical and health informatics, v 24(8), pp 2347-2358
01 Aug 2020
PMID: 31831453
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Left ventricular assist devices (LVADs) are an increasingly common therapy for patients with advanced heart failure. However, implantation of the LVAD increases the risk of stroke, infection, bleeding, and other serious adverse events (AEs). Most post-LVAD AEs studies have focused on individual AEs in isolation, neglecting the possible interrelation, or causality between AEs. This study is the first to conduct an exploratory analysis to discover common sequential chains of AEs following LVAD implantation that are correlated with important clinical outcomes. This analysis was derived from 58,575 recorded AEs for 13,192 patients in International Registry for Mechanical Circulatory Support (INTERMACS) who received a continuous-flow LVAD between 2006 and 2015. The pattern mining procedure involved three main steps: (1) creating a bank of AE sequences by converting the AEs for each patient into a single, chronologically sequenced record, (2) grouping patients with similar AE sequences using hierarchical clustering, and (3) extracting temporal chains of AEs for each group of patients using Markov modeling. The mined results indicate the existence of seven groups of sequential chains of AEs, characterized by common types of AEs that occurred in a unique order. The groups were identified as: GRP1: Recurrent bleeding, GRP2: Trajectory of device malfunction & explant, GRP3: Infection, GRP4: Trajectories to transplant, GRP5: Cardiac arrhythmia, GRP6: Trajectory of neurological dysfunction & death, and GRP7: Trajectory of respiratory failure, renal dysfunction & death. These patterns of sequential post-LVAD AEs disclose potential interdependence between AEs and may aid prediction, and prevention, of subsequent AEs in future studies.
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Details
- Title
- Sequential Pattern Mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant
- Creators
- Faezeh Movahedi - University of PittsburghRobert L. Kormos - University of Pittsburgh Medical CenterLisa Lohmueller - Carnegie Mellon UniversityLaura Seese - University of Pittsburgh Medical CenterManreet Kanwar - Allegheny General HospitalSrinivas Murali - Allegheny General HospitalYiye Zhang - Cornell UniversityRema Padman - Carnegie Mellon UniversityJames F. Antaki - Cornell University
- Publication Details
- IEEE journal of biomedical and health informatics, v 24(8), pp 2347-2358
- Publisher
- IEEE
- Number of pages
- 12
- Grant note
- National Heart, Lung and Blood Institute, National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) R01HL122639 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA Society of Thoracic Surgeons
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Medicine (Graduate); Cardiology
- Web of Science ID
- WOS:000557358500021
- Scopus ID
- 2-s2.0-85089204002
- Other Identifier
- 991021932099504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Medical Informatics