Evidence map›Paper›PMID 35981800›Full record

ArticleJACC. Clinical electrophysiology2022

The Association of Clustered Ventricular Arrhythmia and Cycle Length With Scar Burden in Cardiomyopathy.

Rachit M Vakil, Joseph E Marine, Aravindan Kolandaivelu, Timm Dickfeld, Robert G Weiss, Gordon F Tomaselli, Jonathan Chrispin, Katherine C Wu

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Clinical electrophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01076660 (Left Ventricular Structural Predictors of Sudden Cardiac Death [Substudy of), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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.

NCT01076660 recruitingnot on this map

Left Ventricular Structural Predictors of Sudden Cardiac Death [Substudy of: Functional Energetics and Imaging for Phenotypic Characterization of Patients at Risk for Sudden Cardiac Death, See Also NCT000181233]

TypeobservationalSponsorJohns Hopkins UniversityRan2003 to 2030Enrolled400ConditionsIschemic Cardiomyopathy, Nonischemic Cardiomyopathy
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Rachit M VakilDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Joseph E MarineDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Aravindan KolandaiveluDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Timm DickfeldDepartment of Medicine, University of Maryland Medical Systems, Baltimore, Maryland, USA.
Robert G WeissDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Gordon F TomaselliAlbert Einstein College of Medicine and Montefiore Medicine, Bronx, New York, USA.
Jonathan ChrispinDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Katherine C WuDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA. Electronic address: kwu@jhmi.edu.
Johns Hopkins University · USAlbert Einstein College of Medicine · USUniversity of Maryland, Baltimore · US

Funding

Cardiac MR to Improve Clinical Risk Prediction in Defibrilator PatientsR01HL132181 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TOMASELLI, GORDON FRANK, WU, KATHERINE C · 2017 to 2020
$3.1M
LV Structural Predictors of Sudden Cardiac DeathR01HL103812 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI WU, KATHERINE C · 2010 to 2013
$1.4M
NHLBI NIH HHS R01 HL103812NHLBI NIH HHS R01 HL132181
6 · The paper itself

Abstract

backgroundPatients with ≥2 ventricular arrhythmia (VA) events within 3 months (clustered VA) have increased risk for mortality.

objectivesThe aim of this study was to examine the association of risk factors including scar characteristics on cardiovascular magnetic resonance imaging with clustered VA and VA cycle length in nonischemic cardiomyopathy (NICM) and ischemic cardiomyopathy (ICM).

methodsData from 329 primary prevention implantable cardioverter-defibrillator recipients (mean age 57 years, 26% women) were analyzed from the Left Ventricular Structural Predictors of Sudden Cardiac Death study.

resultsTwenty-one patients developed clustered VA (median time 2.7 years after implantable cardioverter-defibrillator placement). Men had the greatest risk for recurrent VA. Patients with NICM and scar had the highest incidence rate of clustered VA. In patients with NICM, each 1-g increase in core scar correlated with greater clustered VA risk (HR: 1.19; 95% CI: 1.07-1.32). Gray scar was similar among subgroups. Patients with NICM with clustered VA had the longest mean VA cycle length (297 ± 40 milliseconds). Higher core scar burden correlated with longer VA cycle length in patients with NICM (P = 0.002), and higher body mass index correlated with shorter VA cycle length in those with ICM (P = 0.02). Type of VA was similar between cardiomyopathy subgroups, and no scar pattern predominated.

conclusionsClustered VA was most common in patients with NICM and scar, with greatest risk among those with larger core scar. Core scar correlated with slower VA in patients with NICM, and higher body mass index correlated with faster VA in those with ICM. Type of VA was similar by cardiomyopathy etiology, and no dominant scar pattern was associated with clustered VA.

Indexed as

CardiomyopathiesDefibrillators, ImplantableMyocardial IschemiaArrhythmias, CardiacCicatrixDeath, Sudden, CardiacFemaleHumansMaleMiddle Agedcardiovascular magnetic resonancerisk stratificationsudden cardiac deathventricular arrhythmia

Identifiers

PMID35981800
PMCPMC10111293
OpenAlexW4288058362

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Registered trials

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.