Evidence map›Paper›PMID 31836965›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2020

Severe and uniform bi-atrial remodeling measured by dominant frequency analysis in persistent atrial fibrillation unresponsive to ablation.

Adrian Luca, Anthony Pittet, Andréa Buttu, Anna McCann, Jean-Marc Vesin, Patrizio Pascale, Mathieu Le Bloa, Claudia Herrera, Chan-Il Park, Anne Rollin and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

17 authors.

Adrian LucaService of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Anthony PittetService of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Andréa ButtuApplied Signal Processing Group, Swiss Federal Institute of Technology, Lausanne, Switzerland.
Anna McCannApplied Signal Processing Group, Swiss Federal Institute of Technology, Lausanne, Switzerland.
Jean-Marc VesinApplied Signal Processing Group, Swiss Federal Institute of Technology, Lausanne, Switzerland.
Patrizio PascaleService of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Mathieu Le BloaService of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Claudia HerreraService of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Chan-Il ParkDepartment of Cardiology, Hôpital de La Tour, Geneva, Switzerland.
Anne RollinService of Cardiology, Centre Universitaire de Rangueil, Toulouse, France.
Philippe MauryService of Cardiology, Centre Universitaire de Rangueil, Toulouse, France.
Laurent RotenDepartment of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Michael KühneDepartment of Cardiology, University Hospital of Basel, Basel, Switzerland.
Florian SpiesDepartment of Cardiology, University Hospital of Basel, Basel, Switzerland.
Sven KnechtDepartment of Cardiology, University Hospital of Basel, Basel, Switzerland.
Christian SticherlingDepartment of Cardiology, University Hospital of Basel, Basel, Switzerland.
Etienne PruvotService of Cardiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland. etienne.pruvot@chuv.ch.

Funding

Kommission für Technologie und Innovation 18265.1 PFLS-LSSwiss National Science Foundation SNF 205321
6 · The paper itself

Abstract

backgroundHigh values of ECG and intracardiac dominant frequency (DF) are indicative of significant atrial remodeling in persistent atrial fibrillation (peAF). We hypothesized that patients with peAF unresponsive to ablation display higher ECG and intracardiac DFs than those remaining in sinus rhythm (SR) on the long term.

methodsForty consecutive patients underwent stepwise ablation for peAF (sustained duration 19 ± 11 months). Electrograms were recorded before ablation at 13 left atrium (LA) sites and at the right atrial appendage (RAA) and coronary sinus (CS) synchronously to the ECG. DF was defined as the highest peak within the power spectrum.

resultspeAF was terminated within the LA in 28 patients (left-terminated [LT]), whereas 12 patients remaining in AF after ablation (not left-terminated [NLT]) were cardioverted. Over a mean follow-up of 34 ± 14 months, all 12 NLT patients had a recurrence. Of the LT patients, 71% had a recurrence (20/28, LT_Rec), while 29% remained in SR throughout the follow-up (8/28, LT_SR). DF values and correlations between pairs of LA appendage (LAA), RAA, and CS DFs showed distinctive patterns among the subgroups. The NLT subgroup displayed the highest ECG and intracardiac DFs, with strong intragroup homogeneity between pairs of CS and LAA DFs, and to a lesser extent between pairs of CS and RAA DFs. Conversely, the LT_SR subgroup showed the lowest DFs, with significant intragroup heterogeneity between pairs of CS and both LAA and RAA DFs.

conclusionsPatients with peAF unresponsive to ablation show high surface and intracardiac DFs indicative of severe and uniform bi-atrial remodeling.

Indexed as

Atrial AppendageAtrial FibrillationAtrial RemodelingCatheter AblationHeart AtriaHumansAtrial fibrillationCatheter ablationDominant frequencyElectroanatomical remodelingIntracardiac electrogramsSurface ECG

Identifiers

What OpenQuestion holds

Textmetadata
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.