Logo image
Back
Predictors of the Success or failure of medical therapy in patients with chronic recurrent sustained ventricular tachycardia: A discriminant analysis
Journal article   Open access   Peer reviewed

Predictors of the Success or failure of medical therapy in patients with chronic recurrent sustained ventricular tachycardia: A discriminant analysis

Scott R. Spielman, J. Sanford Schwartz, David M. McCarthy, Leonard N. Horowitz, Allan M. Greenspan, Laura M. Sadowski, Mark E. Josephson and Harvey L. Waxman
Journal of the American College of Cardiology, v 1(2), pp 401-408
Feb 1983
DOI: https://doi.org/10.1016/S0735-1097(83)80066-7
PMID: 6826950
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1016/s0735-1097(83)80066-7View
Published, Version of Record (VoR) Open

Abstract

To identify predictors of the success or failure of medical therapy in chronic recurrent sustained ventricular tachycardia, univariate and multivariate statistical techniques were used to retrospectively analyze data in 84 patients with this arrhythmia. By univariate analysis, four factors were associated with successful medical treatment: age less than 45 years, ejection fraction greater than 50%, hypokinesia as the only contraction abnormality and the absence of organic heart disease. Four other findings, the induction of ventricular tachycardia with a single ventricular extrastimulus, an HV interval greater than 60 ms, the presence of a left ventricular aneurysm and Q waves on a baseline electrocardiogram, correlated with medical failure. However, none of these variables alone accurately predicted treatment results in more than 75% of cases. By discriminant analysis, a function incorporating eight variables was constructed which correctly classified 81% of patients. Moreover, three-quarters of the patients could be classified into groups with a high or low probability of success where accuracy increased to 90%. When the discriminant function was tested prospectively in 31 similar patients, 25 (81%) fell into the groups with a high or low probability of success. In the latter group, of 20 patients predicted to fail medical therapy, 19 (95%) did fail a complete trial of medical therapy. The overall accuracy remained a high 92%. In clinical application this function would allow patients with a high probability of responding to medical therapy to be selected for serial electrophysiologic drug testing. In patients with a low probability of responding to medical therapy, serial studies could be avoided and alternate forms of therapy explored.

Metrics

3 Record Views
113 citations in Web of Science
90 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Cardiac & Cardiovascular Systems
Logo image