Literature DB >> 29801745

Canadian Registry of Implantable Electronic Device Outcomes: Surveillance of High-Voltage Leads.

Ratika Parkash1, Bernard Thibault2, Francois Philippon3, Raymond Yee4, Elizabeth Stephenson5, Jeff Healey6, Andrew Krahn7, Derek Exner8, Christopher Simpson9, Eugene Crystal10, Pablo Nery11, Vidal Essebag12, Laurence Sterns13, Anthony Tang4, George Wells14.   

Abstract

BACKGROUND: Cardiac implantable electrical devices (CIEDs) are subject to advisories and complications that can result in morbidity and mortality for patients; there is currently no system in Canada to track these.
METHODS: This was a multicenter, prospective cohort study conducted at 5 centers to determine feasibility. Patients with a de novo high-voltage (HV) lead implantation were included and followed for a minimum of 1 year.
RESULTS: There were 611 leads enrolled into the registry over 18 months. The mean age was 62.4 ± 12.8 years; 144 (23.6%) women were enrolled. The indication for lead implantation was for primary prevention in 65.5%. There were 497 (82.1%) de novo devices (single chamber: 54.5%, dual chamber: 20.5%, cardiac resynchronization therapy [CRT] 25.0%); the remainder of the procedures was a system revision for either upgrade (8.1%) or lead revision (9.8%). The lead revision rate at 1 year was 3.4%, with the primary reason being lead dislodgements. Mortality rate was 3.8% at 1 year. The rate of any device-related complication was 2.0% at 30 days, with the highest rate in CRT implants (4.9%, P = 0.0105). At 1 year, the complication rate was 4.5%, with no significant difference among device types.
CONCLUSIONS: This study demonstrates that device surveillance is feasible and highlights (1) the need for CIED surveillance to track device-related complications, (2) the scope of this should be larger, and (3) mandatory participation should be considered. This system could predict CIEDs that may be susceptible to higher than usual rates of failure, mitigating adverse outcomes in patients.
Copyright © 2018 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29801745     DOI: 10.1016/j.cjca.2018.02.009

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  2 in total

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Authors:  Fadila Zerka; Samir Barakat; Sean Walsh; Marta Bogowicz; Ralph T H Leijenaar; Arthur Jochems; Benjamin Miraglio; David Townend; Philippe Lambin
Journal:  JCO Clin Cancer Inform       Date:  2020-03

2.  Intelligent Detection and Diagnosis of Power Failure Relying on BP Neural Network Algorithm.

Authors:  Linna Liu
Journal:  Comput Intell Neurosci       Date:  2022-09-21
  2 in total

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