Evidence map›Paper›PMID 38703375›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2024

Competing risks of monomorphic vs. non-monomorphic ventricular arrhythmias in primary prevention implantable cardioverter-defibrillator recipients: Global Electrical Heterogeneity and Clinical Outcomes (GEHCO) study.

Larisa G Tereshchenko, Jonathan W Waks, Christine Tompkins, Albert J Rogers, Ashkan Ehdaie, Charles A Henrikson, Khidir Dalouk, Merritt Raitt, Shivangi Kewalramani, Michael W Kattan and 5 more

Registry-linked trialAbstract readMulticenter StudyComparative Study
In one paragraph

Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03210883 (Global Electrical Heterogeneity and Clinical Outcomes), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT03210883 completednot on this map

Global Electrical Heterogeneity and Clinical Outcomes

TypeobservationalSponsorLarisa TereshchenkoRan2017 to 2021Enrolled3,471ConditionsHeart Failure, Implantable Defibrillator User, Ventricular Arrythmia
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Circadian rest-activity rhythm disruption and ventricular arrhythmias in implantable cardioverter-defibrillator patients: a prospective wearable study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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  6. Electrocardiographic risk stratification in patients with a primary prophylactic implantable cardioverter defibrillator: can future arrhythmias correlating with sudden cardiac death be predicted?Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Larisa G TereshchenkoQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, JJN3-01, Cleveland, OH, USA.ORCID 0000-0002-6976-1313
Jonathan W WaksDepartment of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Christine TompkinsDepartment of Cardiovascular Medicine, University of Colorado, Aurora, CO, USA.ORCID 0000-0003-1153-6663
Albert J RogersDepartment of Cardiovascular Medicine, Stanford University, Palo Alto, CA, USA.ORCID 0000-0001-6585-534X
Ashkan EhdaieDepartment of Cardiovascular Medicine, Cedars-Sinai Health System, Los Angeles, CA, USA.ORCID 0000-0003-0097-0026
Charles A HenriksonDepartment of Cardiovascular Medicine, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0002-3381-8437
Khidir DaloukDepartment of Cardiovascular Medicine, VA Portland Health Care System, OR, USA.
Merritt RaittDepartment of Cardiovascular Medicine, VA Portland Health Care System, OR, USA.
Shivangi KewalramaniQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, JJN3-01, Cleveland, OH, USA.ORCID 0000-0003-3272-0363
Michael W KattanQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Ave, JJN3-01, Cleveland, OH, USA.ORCID 0000-0002-3840-4161
Pasquale SantangeliDepartment of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-0023-9666
Bruce W WilkoffDepartment of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
Samir R KapadiaDepartment of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-0026-3391
Sanjiv M NarayanDepartment of Cardiovascular Medicine, Stanford University, Palo Alto, CA, USA.ORCID 0000-0001-7552-5053
Sumeet S ChughDepartment of Cardiovascular Medicine, Cedars-Sinai Health System, Los Angeles, CA, USA.ORCID 0000-0002-4417-5326

Funding

Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Machine Learning for Ventricular ArrhythmiasR01HL162260 · NHLBI · STANFORD UNIVERSITY · PI Sanjiv M Narayan · 2023 to 2026
$2.5M
Novel ECG Measures and Risk of Sudden Cardiac DeathR01HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2013 to 2016
$1.5M
Novel ECG measures and risk of sudden cardiac deathR56HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2018 to 2018
$396k
American Heart Association 17GRNT33670428American Heart Association-American Stroke Association 17GRNT33670428American Heart Association-American Stroke Association 23IPA1054947American Heart Association-American Stroke Association 23TPA1141088Clinical and Translational Science Collaborative of Cleveland UM1TR004528NCATS NIH HHS UM1 TR004528NHLBI NIH HHS R01 HL118277NHLBI NIH HHS R01 HL162260NHLBI NIH HHS R56 HL118277NIH HHSNIH roadmap for Medical Research
6 · The paper itself

Abstract

aimsAblation of monomorphic ventricular tachycardia (MMVT) has been shown to reduce shock frequency and improve survival. We aimed to compare cause-specific risk factors for MMVT and polymorphic ventricular tachycardia (PVT)/ventricular fibrillation (VF) and to develop predictive models. METHODS AND

resultsThe multicentre retrospective cohort study included 2668 patients (age 63.1 ± 13.0 years; 23% female; 78% white; 43% non-ischaemic cardiomyopathy; left ventricular ejection fraction 28.2 ± 11.1%). Cox models were adjusted for demographic characteristics, heart failure severity and treatment, device programming, and electrocardiogram metrics. Global electrical heterogeneity was measured by spatial QRS-T angle (QRSTa), spatial ventricular gradient elevation (SVGel), azimuth, magnitude (SVGmag), and sum absolute QRST integral (SAIQRST). We compared the out-of-sample performance of the lasso and elastic net for Cox proportional hazards and the Fine-Gray competing risk model. During a median follow-up of 4 years, 359 patients experienced their first sustained MMVT with appropriate implantable cardioverter-defibrillator (ICD) therapy, and 129 patients had their first PVT/VF with appropriate ICD shock. The risk of MMVT was associated with wider QRSTa [hazard ratio (HR) 1.16; 95% confidence interval (CI) 1.01-1.34], larger SVGel (HR 1.17; 95% CI 1.05-1.30), and smaller SVGmag (HR 0.74; 95% CI 0.63-0.86) and SAIQRST (HR 0.84; 95% CI 0.71-0.99). The best-performing 3-year competing risk Fine-Gray model for MMVT [time-dependent area under the receiver operating characteristic curve (ROC(t)AUC) 0.728; 95% CI 0.668-0.788] identified high-risk (> 50%) patients with 75% sensitivity and 65% specificity, and PVT/VF prediction model had ROC(t)AUC 0.915 (95% CI 0.868-0.962), both satisfactory calibration.

conclusionWe developed and validated models to predict the competing risks of MMVT or PVT/VF that could inform procedural planning and future randomized controlled trials of prophylactic ventricular tachycardia ablation. CLINICAL

trial registrationURL:www.clinicaltrials.gov Unique identifier:NCT03210883.

Indexed as

Defibrillators, ImplantablePrimary PreventionTachycardia, VentricularVentricular FibrillationAgedCatheter AblationDeath, Sudden, CardiacElectric CountershockElectrocardiographyFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsHFICDMMVTPVT/VFVCG

Identifiers

PMID38703375
PMCPMC11167666

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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.