Characterization of Impaired Ventricular Repolarization by Quantification of QT Delayed Response to Heart Rate Changes in Stress Test

Cristina Perez, Esther Pueyo, Juan Pablo Martinez, Jari Viik, Pablo Laguna

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    10 Citations (Scopus)

    Abstract

    Increased spatio-temporal heterogeneity in ventricular repolarization is related to cardiac instabilities. Slowed adaptation of the QT interval to sudden abrupt changes in heart rate (HR), measured by the time constant of a first-order-like step response, has been identified as a marker of arrhythmic risk. Since abrupt HR changes are difficult to induce in patients, ramp-like HR variations observed in exercise stress test are considered in this work. The first-order-system time constant is estimated as the delay between the QT series response and the series of memoryless expected QT series from the instantaneous HR, ob-tained from a fitted hyperbolic regression model. The delay was estimated by minimizing the mean square error separately in the exercise and recovery phases. We applied this procedure to a subset of 251 patients of Tampere university hospital with different risk levels for Coronary Artery Disease (110 nonCAD, 39 low-risk, 12 mild-risk, 90 high-risk). The time constant values ranged from 17s to 49s, which are comparable with the time lags reported in other studies in response to step-like HR changes. The delays in exercise and recovery phases and the difference between these delays are markers with capacity for CAD risk stratification.

    Original languageEnglish
    Title of host publication2020 Computing in Cardiology, CinC 2020
    PublisherIEEE Computer Society
    ISBN (Electronic)978-1-7281-7382-5
    DOIs
    Publication statusPublished - 13 Sept 2020
    Publication typeA4 Article in conference proceedings
    EventComputing in cardiology - Rimini, Italy
    Duration: 13 Sept 202016 Sept 2020
    Conference number: CinC 2020

    Publication series

    NameComputing in Cardiology
    Volume47
    ISSN (Print)2325-8861
    ISSN (Electronic)2325-887X

    Conference

    ConferenceComputing in cardiology
    Country/TerritoryItaly
    CityRimini
    Period13/09/2016/09/20

    Funding

    This work was supported by projects ERC-StG 638284 (European Research Council), PID2019-105674RB-I00 and PID2019-104881RB-I00 (Ministerio de Ciencia e In-novación) and project LMP124-18 and reference group T39-20R (Aragón Government cofunded by FEDER 2014-2020 ”Building Europe from Aragon”). Computations were performed using ICTS NANBIOSIS (HPC Unit at University of Zaragoza).

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • General Computer Science
    • Cardiology and Cardiovascular Medicine

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