PMID- 31831453
OWN - NLM
STAT- MEDLINE
DCOM- 20210503
LR  - 20210929
IS  - 2168-2208 (Electronic)
IS  - 2168-2194 (Print)
IS  - 2168-2194 (Linking)
VI  - 24
IP  - 8
DP  - 2020 Aug
TI  - Sequential Pattern Mining of Longitudinal Adverse Events After Left Ventricular 
      Assist Device Implant.
PG  - 2347-2358
LID - 10.1109/JBHI.2019.2958714 [doi]
AB  - 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.
FAU - Movahedi, Faezeh
AU  - Movahedi F
FAU - Kormos, Robert L
AU  - Kormos RL
FAU - Lohmueller, Lisa
AU  - Lohmueller L
FAU - Seese, Laura
AU  - Seese L
FAU - Kanwar, Manreet
AU  - Kanwar M
FAU - Murali, Srinivas
AU  - Murali S
FAU - Zhang, Yiye
AU  - Zhang Y
FAU - Padman, Rema
AU  - Padman R
FAU - Antaki, James F
AU  - Antaki JF
LA  - eng
GR  - R01 HL122639/HL/NHLBI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
DEP - 20191209
PL  - United States
TA  - IEEE J Biomed Health Inform
JT  - IEEE journal of biomedical and health informatics
JID - 101604520
SB  - IM
MH  - Cardiovascular Diseases
MH  - Cluster Analysis
MH  - Data Mining/*methods
MH  - Equipment Failure
MH  - Female
MH  - Heart-Assist Devices/*adverse effects/*statistics & numerical data
MH  - Hemorrhage
MH  - Humans
MH  - Male
MH  - Markov Chains
MH  - Medical Informatics/methods
MH  - Middle Aged
MH  - Models, Statistical
MH  - Pattern Recognition, Automated/*methods
MH  - Respiratory Insufficiency
PMC - PMC8462525
MID - NIHMS1618096
EDAT- 2019/12/14 06:00
MHDA- 2021/05/04 06:00
PMCR- 2021/09/24
CRDT- 2019/12/14 06:00
PHST- 2019/12/14 06:00 [pubmed]
PHST- 2021/05/04 06:00 [medline]
PHST- 2019/12/14 06:00 [entrez]
PHST- 2021/09/24 00:00 [pmc-release]
AID - 10.1109/JBHI.2019.2958714 [doi]
PST - ppublish
SO  - IEEE J Biomed Health Inform. 2020 Aug;24(8):2347-2358. doi: 
      10.1109/JBHI.2019.2958714. Epub 2019 Dec 9.