Evidence map›Paper›PMID 31352217›Full record

ArticleComputers in biology and medicine2019

Generation of a cohort of whole-torso cardiac models for assessing the utility of a novel computed shock vector efficiency metric for ICD optimisation.

Anne-Marie Plancke, Adam Connolly, Philip M Gemmell, Aurel Neic, Luke C McSpadden, John Whitaker, Mark O'Neill, Christopher A Rinaldi, Ronak Rajani, Steven A Niederer and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Computers in biology and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. A systematic review of cardiacProgress in biomedical engineering (Bristol, England) · 2023
    Review
  2. Additional coils mitigate elevated defibrillation threshold in right-sided implantable cardioverter defibrillator generator placement: a simulation study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
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  7. Creation and application of virtual patient cohorts of heart models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Anne-Marie PlanckeDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Adam ConnollyDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Philip M GemmellDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Aurel NeicInstitute of Biophysics, Medical University of Graz, Austria.
Luke C McSpaddenAbbott, Sylmar, CA, USA.
John WhitakerDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' Hospitals, London, UK.
Mark O'NeillDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' Hospitals, London, UK.
Christopher A RinaldiDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' Hospitals, London, UK.
Ronak RajaniCardiovascular Imaging Department, St Thomas' Hospital, London, UK.
Steven A NiedererDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Gernot PlankInstitute of Biophysics, Medical University of Graz, Austria.
Martin J BishopDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. Electronic address: martin.bishop@kcl.ac.uk.
King's College London · GBSt Thomas' Hospital · GBMedical University of Graz · ATDanaher (United States) · US

Funding

Department of HealthMedical Research Council MR/N011007/1Wellcome TrustWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

Implanted cardiac defibrillators (ICDs) seek to automatically detect and terminate potentially lethal ventricular arrhythmias by applying strong internal electric shocks across the heart. However, the optimisation of the specific electrode design and configurations represents an intensive area of research in the pursuit of reduced shock strengths and fewer device complications and risks. Computational whole-torso simulations play an important role in this endeavour, although knowing which specific metric should be used to assess configuration efficacy and assessing the impact of different patient anatomies and pathologies, and the corresponding effect this may have on different metrics has not been investigated. We constructed a cohort of CT-derived high-resolution whole torso-cardiac computational models, including variants of cardiomyopathies and patients with differing torso dimensions. Simulations of electric shock application between electrode configurations corresponding to transveneous (TV-ICD) and subcutaneous (S-ICD) ICDs were modelled and conventional metrics such as defibrillation threshold (DFT) and impedance computed. In addition, we computed a novel metric termed the shock vector efficiency (η), which quantifies the fraction of electrical energy dissipated in the heart relative to the rest of the torso. Across the cohort, S-ICD configurations showed higher DFTs and impedances than TV-ICDs, as expected, although little consistent difference was seen between healthy and cardiomyopathy variants. η was consistently <2% for S-ICD configurations, becoming as high as 13% for TV-ICD setups. Simulations also suggested that a total torso height of approximately 20 cm is required for convergence in η. Overall, η was seen to be approximately negatively correlated with both DFT and impedance. However, important scenarios were identified in which certain values of DFT (or impedance) were associated with a range of η values, and vice-versa, highlighting the heterogeneity introduced by the different torsos and pathologies modelled. In conclusion, the shock vector efficiency represents a useful additional metric to be considered alongside DFT and impedance in the optimisation of ICD electrode configurations, particularly in the context of differing torso anatomies and cardiac pathologies, which can induce significant heterogeneity in conventional metrics of ICD efficacy.

Indexed as

Arrhythmias, CardiacComputer SimulationDefibrillators, ImplantableModels, CardiovascularTomography, X-Ray ComputedAdultAged, 80 and overFemaleHumansMaleMiddle AgedCardiac arrhythmiasCardiac electrophysiogyCardiac modellingCT imagingDefibrillationImplanted cardioverter defibrillators

Identifiers

PMID31352217
PMCPMC6873640
OpenAlexW2965949845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.