Evidence map›Paper›PMID 30575168›Full record

ArticleJournal of cardiovascular electrophysiology2019

Utility of ripple mapping for identification of slow conduction channels during ventricular tachycardia ablation in the setting of arrhythmogenic right ventricular cardiomyopathy.

Shuanglun Xie, Maciej Kubala, Jackson J Liang, Jiandu Yang, Benoit Desjardins, Pasquale Santangeli, Rob J van der Geest, Robert Schaller, Michael Riley, Gregory Supple and 5 more

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In one paragraph

Article in Journal of cardiovascular electrophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

0 citing papers in PubMed, 16 citations in OpenAlex.

No citing paper in PubMed yet.

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

15 authors at 4 institutions in 3 countries.

Shuanglun XieDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-2985-9946
Maciej KubalaDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jackson J LiangDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jiandu YangDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Benoit DesjardinsDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Pasquale SantangeliDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-0023-9666
Rob J van der GeestDivision of Image Processing, Leiden University Medical Centre, Leiden, The Netherlands.
Robert SchallerDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Michael RileyDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Gregory SuppleDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
David S FrankelDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-9276-4857
David CallansDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Erica Zado PacDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Francis MarchlinskiDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-7962-9423
Saman NazarianDepartment of Medicine, Section of Cardiac Electrophysiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · USHospital of the University of Pennsylvania · USLeiden University Medical Center · NLSun Yat-sen University · CN

Funding

Implications of Intra-Myocardial Fat Deposition upon Propensity for Malignant ArrhythmiaR01HL142893 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI NAZARIAN, SAMAN, TRAYANOVA, NATALIA A. · 2018 to 2021
$2.5M
ANCILLARY STUDY OF SUBSTRATE AND INTERVENTION MECHANISMS FOR MALIGNANT ARRHYTHMIAR01HL116280 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI NAZARIAN, SAMAN · 2013 to 2016
$1.2M
NHLBI NIH HHS R01 HL116280NHLBI NIH HHS R01 HL142893
6 · The paper itself

Abstract

backgroundRipple mapping displays every deflection of a bipolar electrogram and enables the visualization of conduction channels (RMCC) within postinfarction ventricular scar to guide ventricular tachycardia (VT) ablation. The utility of RMCC identification for facilitation of VT ablation in the setting of arrhythmogenic right ventricular cardiomyopathy (ARVC) has not been described.

objectiveWe sought to (a) identify the slow conduction channels in the endocardial/epicardial scar by ripple mapping and (b) retrospectively analyze whether the elimination of RMCC is associated with improved VT-free survival, in ARVC patients.

methodsHigh-density right ventricular endocardial and epicardial electrograms were collected using the CARTO 3 system in sinus rhythm or ventricular pacing and reviewed for RMCC. Low-voltage zones and abnormal myocardium in the epicardium were identified by using standardized late-gadolinium-enhanced (LGE) magnetic resonance imaging (MRI) signal intensity (SI) z-scores.

resultsA cohort of 20 ARVC patients that had undergone simultaneous high-density right ventricular endocardial and epicardial electrogram mapping was identified (age 44 ± 13 years). Epicardial scar, defined as bipolar voltage less than 1.0 mV, occupied 47.6% (interquartile range [IQR], 30.9-63.7) of the total epicardial surface area and was larger than endocardial scar, defined as bipolar voltage less than 1.5 mV, which occupied 11.2% (IQR, 4.2 ± 17.8) of the endocardium (P < 0.01). A median 1.5 RMCC, defined as continuous corridors of sequential late activation within scar, were identified per patient (IQR, 1-3), most of which were epicardial. The median ratio of RMCC ablated was 1 (IQR, 0.6-1). During a median follow-up of 44 months (IQR, 11-49), the ratio of RMCC ablated was associated with freedom from recurrent VT (hazard ratio, 0.01; P = 0.049). Among nine patients with adequate MRI, 73% of RMCC were localized in LGE regions, 24% were adjacent to an area with LGE, and 3% were in regions without LGE.

conclusionSlow conduction channels within endocardial or epicardial ARVC scar were delineated clearly by ripple mapping and corresponded to critical isthmus sites during entrainment. Complete elimination of RMCC was associated with freedom from VT.

Indexed as

Action PotentialsCatheter AblationElectrophysiologic Techniques, CardiacHeart RateAdultArrhythmogenic Right Ventricular DysplasiaEndocardiumFemaleHumansIntraoperative CareMaleMiddle AgedPericardiumPredictive Value of TestsProgression-Free SurvivalRetrospective Studiesarrhythmogenic right ventricular cardiomyopathycatheter ablationlate-gadolinium-delayed enhancementmagnetic resonance imagingripple mappingventricular tachycardia

Identifiers

PMID30575168
PMCPMC6422721
OpenAlexW2905600486

What OpenQuestion holds

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Registered trials

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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.