Literature DB >> 31831453

Sequential Pattern Mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant.

Faezeh Movahedi, Robert L Kormos, Lisa Lohmueller, Laura Seese, Manreet Kanwar, Srinivas Murali, Yiye Zhang, Rema Padman, James F Antaki.   

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.

Entities:  

Mesh:

Year:  2019        PMID: 31831453     DOI: 10.1109/JBHI.2019.2958714

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  4 in total

1.  Long-term survival on LVAD support: Device complications and end-organ dysfunction limit long-term success.

Authors:  Imad M Hariri; Todd Dardas; Manreet Kanwar; Rebecca Cogswell; Igor Gosev; Ezequiel Molina; Susan L Myers; James K Kirklin; Palak Shah; Francis D Pagani; Jennifer A Cowger
Journal:  J Heart Lung Transplant       Date:  2021-07-24       Impact factor: 10.247

2.  Identifying urban built environment factors in pregnancy care and maternal mental health outcomes.

Authors:  Yiye Zhang; Mohammad Tayarani; Shuojia Wang; Yifan Liu; Mohit Sharma; Rochelle Joly; Arindam RoyChoudhury; Alison Hermann; Oliver H Gao; Jyotishman Pathak
Journal:  BMC Pregnancy Childbirth       Date:  2021-09-04       Impact factor: 3.007

3.  Clinical and operational insights from data-driven care pathway mapping: a systematic review.

Authors:  Matthew Manktelow; Aleeha Iftikhar; Magda Bucholc; Michael McCann; Maurice O'Kane
Journal:  BMC Med Inform Decis Mak       Date:  2022-02-17       Impact factor: 2.796

4.  Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles.

Authors:  Adeolu Z Ogunleye; Chayanit Piyawajanusorn; Anthony Gonçalves; Ghita Ghislat; Pedro J Ballester
Journal:  Adv Sci (Weinh)       Date:  2022-07-03       Impact factor: 17.521

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.