Application of the RIMARC Algorithm to a Large Data Set of Action Potentials and Clinical Parameters for Risk Prediction of Atrial Fibrillation

Ravens, Ursula; Katircioglu-Öztürk, Deniz; Wettwer, Erich; Poulet, Claire; Loose, Simone Mueller; Knaut, Michael; Oto, Emre; Oto, Ali̇; Güvenir, H. Altay

doi:10.1016/j.bpj.2014.11.1505

Cited by 10 publications

(38 citation statements)

References 23 publications

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“…The high frequency of electrical activity in AF leads to characteristic electrical and structural changes in the atrial tissue (electrical and structural "remodelling"), including changes in atrial APs and tissue morphology. The hallmark of electrical remodelling is the change of the action potential from a spike-and-dome to a typical triangular shape (Figure 3, inset) (Dobrev and Ravens 2003;Ravens 2017;Ravens et al 2015).…”

Section: Electrical Remodelling In Af: Differences In Human Ex-vivo Amentioning

confidence: 99%

“…In pharmacological experiments conducted in Dresden between 2006 to 2014, we have collected control APs recorded with microelectrodes from human right atrial trabeculae donated by patients undergoing open-heart surgery (Ravens et al 2015).…”

Section: Electrical Remodelling In Af: Differences In Human Ex-vivo Amentioning

confidence: 99%

“…This is important, both to collate more data from a highly PLT 20 , plateau potential in mV after 20% of APD 90 ; APA, action potential amplitude in mV; RMP, resting membrane potential in (-)mV; dV/dt max upstroke velocity in V/s). (Ravens et al 2015), with kind permission of the publisher.…”

Section: R a F Tmentioning

confidence: 99%

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Sex differences in cardiac electrophysiology

Ravens

2018

Can. J. Physiol. Pharmacol.

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Women have a longer QT interval than men, which appears to evolve after puberty suggesting that sex hormones have an influence on cardiac electrophysiology. Sex hormones do in fact regulate cardiac ion channels via genomic and nongenomic pathways. Women are at greater risk for life-threatening arrhythmias under conditions that prolong the QT interval. In addition, women exhibit greater sensitivity to QT interval-prolonging drugs. Female sex has also an impact on propensity to cardiovascular disease, including atrial fibrillation. However, ex vivo recorded atrial action potentials (APs) from female and male patients in atrial fibrillation did not exhibit significant differences in shape, except that APs from women had slower upstroke velocity. It is concluded that sex-related differences should be taken into account not only in the clinics, but also in basic research.

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Section: Electrical Remodelling In Af: Differences In Human Ex-vivo Amentioning

confidence: 99%

Section: Electrical Remodelling In Af: Differences In Human Ex-vivo Amentioning

confidence: 99%

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Sex differences in cardiac electrophysiology

Ravens

2018

Can. J. Physiol. Pharmacol.

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“…Furthermore, atrial APs show pronounced inter‐patient and regional variation (Ravens et al . ). The muscle sleeves surrounding the pulmonary veins (PVs) have specific electrophysiological and Ca 2+ handling properties, making them more likely to produce ectopic activity (Heijman et al .…”

Section: Introductionmentioning

confidence: 97%

Computational models of atrial cellular electrophysiology and calcium handling, and their role in atrial fibrillation

Heijman

Abdoust

Voigt

et al. 2015

The Journal of Physiology

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The complexity of the heart makes an intuitive understanding of the relative contribution of ion channels, transporters and signalling pathways to cardiac electrophysiology challenging. Computational modelling of cardiac cellular electrophysiology has proven useful to integrate experimental findings, extrapolate results obtained in expression systems or animal models to other systems, test quantitatively ideas based on experimental data and provide novel hypotheses that are experimentally testable. While the bulk of computational modelling has traditionally been directed towards ventricular bioelectricity, increasing recognition of the clinical importance of atrial arrhythmias, particularly atrial fibrillation, has led to widespread efforts to apply computational approaches to understanding atrial electrical function. The increasing availability of detailed, atrial‐specific experimental data has stimulated the development of novel computational models of atrial‐cellular electrophysiology and Ca2+ handling. To date, more than 300 studies have employed mathematical simulations to enhance our understanding of atrial electrophysiology, arrhythmogenesis and therapeutic responses. Future modelling studies are likely to move beyond current whole‐cell models by incorporating new data on subcellular architecture, macromolecular protein complexes, and localized ion‐channel regulation by signalling pathways. At the same time, more integrative multicellular models that take into account regional electrophysiological and Ca2+ handling properties, mechano‐electrical feedback and/or autonomic regulation will be needed to investigate the mechanisms governing atrial arrhythmias. A combined experimental and computational approach is expected to provide the more comprehensive understanding of atrial arrhythmogenesis that is required to develop improved diagnostic and therapeutic options. Here, we review this rapidly expanding area, with a particular focus on Ca2+ handling, and provide ideas about potential future directions.

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“…5,6 This algorithm operates by ranking instances based on how likely they are to have a positive label indicating the presence of a condition. 7 By means of this type of data mining analysis, we tried to extract clinically relevant statistical information from the Flec-SL-AFNET 3 database and seek for factors that might affect recurrence of persistent AF after cardioversion, the primary outcome of the trial. We then applied validation by biostatistical analysis.…”

Section: Introductionmentioning

confidence: 99%