Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A simple electrocardiographic algorithm for detecting ventricular tachycardia

T J Cohen1, B Goldner, K Merkatz

  • 1Department of Medicine, North Shore University Hospital, Manhasset, New York, USA.

Pacing and Clinical Electrophysiology : PACE
|November 14, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Synthetic amyloid beta does not induce a robust transcriptional response in innate immune cell culture systems.

Journal of neuroinflammation·2022
Same author

Million-year lag times in a post-orogenic sediment conveyor.

Science advances·2020
Same author

Meals for Necessitous School Children during the Christmas Holidays.

The Hospital·2018
Same author

Tuberculosis in HIV-infected South African children with complicated severe acute malnutrition.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2017
Same author

Prevention of Tumor Formation by Latent Gammaherpesvirus Infection.

PloS one·2015
Same author

Kinematic adaptations to tripedal locomotion in dogs.

Veterinary journal (London, England : 1997)·2015

A new, simple electrocardiogram (ECG) algorithm effectively predicts susceptibility to ventricular tachyarrhythmias (VT), outperforming signal-averaged ECG (SAECG). This accessible method offers a more sensitive approach to identifying patients at risk for VT.

Area of Science:

  • Cardiology
  • Medical Diagnostics
  • Electrocardiography

Background:

  • Ventricular tachyarrhythmias (VT) pose a significant risk.
  • Predicting VT susceptibility is crucial for patient management.
  • Current methods like signal-averaged ECG (SAECG) have limitations.

Purpose of the Study:

  • To develop and evaluate a simple electrocardiogram (ECG) algorithm for predicting VT susceptibility.
  • To compare the diagnostic performance of the novel ECG algorithm against SAECG.
  • To assess the sensitivity and specificity of QT dispersion (QTD) and QRS duration for VT prediction.

Main Methods:

  • Investigated two QT dispersion algorithms (QTD3 and QTD12) using 12-lead ECG.
  • Compared QTD algorithms, with and without QRS duration, to SAECG.

Related Experiment Videos

  • Included patients referred for programmed electrical stimulation; SAECG criteria defined positive results.

    • Main Results:

    • A simple ECG algorithm (sum of QTD3 + QRS duration) demonstrated 90% sensitivity and 63% specificity for VT prediction.
    • SAECG showed 60% sensitivity and 63% specificity.
    • The novel ECG algorithm was significantly more sensitive than SAECG (P = 0.022).

    Conclusions:

    • A simple ECG algorithm combining QTD3 and QRS duration is a more sensitive predictor of VT than SAECG.
    • This algorithm utilizes easily measured variables from a standard 12-lead ECG.
    • The method is cost-effective and does not require specialized equipment.