Evidence map›Paper›PMID 25375999›Full record

ArticlePLoS computational biology2014

Effect of global cardiac ischemia on human ventricular fibrillation: insights from a multi-scale mechanistic model of the human heart.

Ivan V Kazbanov, Richard H Clayton, Martyn P Nash, Chris P Bradley, David J Paterson, Martin P Hayward, Peter Taggart, Alexander V Panfilov

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. CombinedFrontiers in physiology · 2021
    Article
  11. Variability in electrophysiological properties and conducting obstacles controls re-entry risk in heterogeneous ischaemic tissue.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  12. Article
  13. Article
  14. Computational models in cardiology.Nature reviews. Cardiology · 2019
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

8 authors at 7 institutions in 4 countries.

Ivan V KazbanovDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Richard H ClaytonINSIGNEO Institute for In-Silico Medicine, University of Sheffield, Sheffield, United Kingdom; Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.
Martyn P NashAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Department of Engineering Science, University of Auckland, Auckland, New Zealand.
Chris P BradleyAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
David J PatersonDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.
Martin P HaywardDepartments of Cardiology and Cardiothoracic Surgery, University College Hospital, London, United Kingdom.
Peter TaggartDepartments of Cardiology and Cardiothoracic Surgery, University College Hospital, London, United Kingdom.
Alexander V PanfilovDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium; Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russia.
Ghent University · BEAuckland University of Technology · NZUniversity College Hospital · GBUniversity College London · GBUniversity of Auckland · NZUniversity of Oxford · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute regional ischemia in the heart can lead to cardiac arrhythmias such as ventricular fibrillation (VF), which in turn compromise cardiac output and result in secondary global cardiac ischemia. The secondary ischemia may influence the underlying arrhythmia mechanism. A recent clinical study documents the effect of global cardiac ischaemia on the mechanisms of VF. During 150 seconds of global ischemia the dominant frequency of activation decreased, while after reperfusion it increased rapidly. At the same time the complexity of epicardial excitation, measured as the number of epicardical phase singularity points, remained approximately constant during ischemia. Here we perform numerical studies based on these clinical data and propose explanations for the observed dynamics of the period and complexity of activation patterns. In particular, we study the effects on ischemia in pseudo-1D and 2D cardiac tissue models as well as in an anatomically accurate model of human heart ventricles. We demonstrate that the fall of dominant frequency in VF during secondary ischemia can be explained by an increase in extracellular potassium, while the increase during reperfusion is consistent with washout of potassium and continued activation of the ATP-dependent potassium channels. We also suggest that memory effects are responsible for the observed complexity dynamics. In addition, we present unpublished clinical results of individual patient recordings and propose a way of estimating extracellular potassium and activation of ATP-dependent potassium channels from these measurements.

Indexed as

Models, CardiovascularComputer SimulationHeartHumansHyperkalemiaHypoxiaImaging, Three-DimensionalMyocardial IschemiaMyocardiumVentricular Fibrillation

Identifiers

PMID25375999
PMCPMC4222598
OpenAlexW1978753234

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.