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Sequential Pattern Mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant
被引:9
|作者:
Movahedi, Faezeh
[1
]
Kormos, Robert L.
[2
]
Lohmueller, Lisa
[3
]
Seese, Laura
[2
]
Kanwar, Manreet
[4
]
Murali, Srinivas
[4
]
Zhang, Yiye
[5
]
Padman, Rema
[6
]
Antaki, James F.
[7
]
机构:
[1] Univ Pittsburgh, Swanson Sch Enginering, Dept Elect & Comp Engn, Pittsburgh, PA 15260 USA
[2] Univ Pittsburgh, Med Ctr, Heart & Vasc Inst, Pittsburgh, PA 15213 USA
[3] Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA
[4] Allegheny Gen Hosp, Cardiovasc Inst, Pittsburgh, PA 15212 USA
[5] Cornell Univ, Cornell Med, New York, NY 10065 USA
[6] Carnegie Mellon Univ, Heinz Coll, Pittsburgh, PA 15213 USA
[7] Cornell Univ, Meinig Sch Biomed Engn, Ithaca, NY 14853 USA
基金:
美国国家卫生研究院;
关键词:
Hemorrhaging;
Heart;
Electronic mail;
Markov processes;
Data mining;
Couplings;
Informatics;
LVAD;
sequential adverse events;
hierarchical clustering;
Markov modeling;
HEART-FAILURE;
RISK-FACTORS;
HEALTH-CARE;
OUTCOMES;
STROKE;
COMPLICATIONS;
INFECTIONS;
SUPPORT;
D O I:
10.1109/JBHI.2019.2958714
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
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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页码:2347 / 2358
页数:12
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