The University of Southampton
University of Southampton Institutional Repository

Evaluation of body weight as a predictive factor for transvenous ventricular defibrillation characteristics

Paisey, J.R., Betts, T., Allen, S., Morgan, J.M. and Roberts, P.R. (2004) Evaluation of body weight as a predictive factor for transvenous ventricular defibrillation characteristics Europace, 6, (1), pp. 21-24. (doi:10.1016/j.eupc.2003.09.005).

Record type: Article


To investigate the correlation between body weight and defibrillation threshold (DFT) for transvenous lead systems using a porcine model.
Methods and results
Twenty-eight pigs were anaesthetised and DFTs assessed in single and dual coil configurations using a four-reversal binary search method. DFT was correlated with body weight in the RV ? Can and RV ? SVC + Can configurations. A Pearson correlation coefficient and a two-sided p-value were calculated. A positive correlation exists between body weight and DFT in RV ? Can (, ) and RV ? SVC + Can (, ).
There is a significant correlation between body weight and DFT in swine. This tends to be greater in the two-electrode than in the three-electrode configuration. With these and previous human observations, one may predict a higher DFT in heavy individuals and make appropriate procedural adjustments.

Full text not available from this repository.

More information

Published date: 2004
Additional Information: Review
Keywords: implantable cardioverter defibrillator, defibrillation threshold, ventricular arrhythmia, fibrillation, body weight


Local EPrints ID: 25871
ISSN: 1099-5129
PURE UUID: 794ea564-6958-490f-a74d-95e738f93b9d

Catalogue record

Date deposited: 21 Apr 2006
Last modified: 17 Jul 2017 16:09

Export record



Author: J.R. Paisey
Author: T. Betts
Author: S. Allen
Author: J.M. Morgan
Author: P.R. Roberts

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.