• This record comes from PubMed

Use of a novel transfer function to reduce repolarization interval hysteresis

. 2010 Oct ; 29 (1) : 23-32. [epub] 20100713

Language English Country Netherlands Media print-electronic

Document type Comparative Study, Journal Article, Research Support, Non-U.S. Gov't

BACKGROUND: Cardiac repolarization is assessed by the QT interval on the surface electrocardiogram and varies with the heart rate. Standard QT corrections (QTc) do not account for the lag in QT change following a change in heart rate (QT hysteresis). Our group has developed and tested a transfer function (TRF) model to assess the effectiveness of a dynamic model of QT/RR coupling in eliminating hysteresis. METHODS: We studied three groups: group I, healthy volunteers (n = 23, 41 ± 17 years); group II, hypertensive patients (n = 25, 45 ± 11 years); and group III, patients in a predominately paced rhythm (n = 5, 75 ± 6 years). To vary the heart rate, either exercise bicycling in the supine position (groups I and II) or manipulation of the pacemaker parameters (group III) was done. We then compared a dynamic TRF model with a model based on weighted averages of previous RR intervals. Two parameters were tested: root mean square (RMS) of the error signal between measured and computed QT and the elimination of hysteretic loops. RESULTS: TRF-based measurements eliminated hysteresis in 22/23 (95%) group I patients, 21/25 (84%) group II patients, and 4/5 (80%) group III patients. When hysteresis elimination was not complete, the QT drift that followed RR intervals was different before and after bicycling (100 ms). In these patients, the corresponding QT interval did not significantly change during this period. The TRF model was found superior to the other tested models with respect to both analyzed parameters (RMS and hysteresis elimination). CONCLUSION: The TRF model limited QT hysteresis in healthy, hypertensive, and pacemaker-dependent patients. In addition, an important finding of QT drift in patients with hypertension was identified. With further study in these and other diseased states, the TRF model may improve our ability to measure accurately cardiac repolarization and to determine arrhythmia risk.

See more in PubMed

J Cardiovasc Electrophysiol. 2007 Dec;18(12):1299-305 PubMed

Pharmacol Res. 1997 May;35(5):409-16 PubMed

Circ Arrhythm Electrophysiol. 2009 Aug;2(4):345-8 PubMed

J Electrocardiol. 2006 Jul;39(3):315-23 PubMed

Biomed Tech (Berl). 2007 Jun;52(3):255-63 PubMed

Cardiovasc Res. 1988 Jan;22(1):67-72 PubMed

J Clin Invest. 1988 Sep;82(3):972-9 PubMed

Heart Rhythm. 2007 Aug;4(8):1006-8 PubMed

IEEE Trans Biomed Eng. 2004 Sep;51(9):1511-20 PubMed

Clin Cardiol. 2006 Dec;29(12):534-9 PubMed

Circ Res. 2004 Mar 19;94(5):567-9 PubMed

Am Heart J. 2002 Nov;144(5):858-64 PubMed

J Electrocardiol. 2007 Nov-Dec;40(6 Suppl):S91-6 PubMed

Am J Physiol Heart Circ Physiol. 2008 Dec;295(6):H2356-63 PubMed

J Pharmacol Exp Ther. 2006 Feb;316(2):498-506 PubMed

Circulation. 2001 Jan 2;103(1):89-95 PubMed

J Cardiovasc Electrophysiol. 2004 Apr;15(4):475-95 PubMed

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...