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Multiscale Complexity Analysis of Short QT Interval Variability Series Stratifies the Arrhythmic Risk of Long QT Syndrome Type 1 Patients

机译:短QT间隔变异系列的多尺度复杂度分析确定了长QT综合征1型患者的心律失常风险

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A linear model-based multiscale complexity (MSC) approach was here applied to short heart period (HP) and QT interval variability series derived from 24 hours Holter ECG recordings in a group of long QT syndrome type 1 (LQT1) patients. The MSC approach allows to assess complexity in the typical frequency bands of HP and QT variability, i.e. low frequency (LF, from 0.04 to 0.15 Hz) and high frequency (HF, from 0.15 to 0.5 Hz). MSC was computed along with a single scale complexity over 7 LQT1 asymptomatic mutation carriers (AMC), 22 symptomatic mutation carriers (SMC) and 13 healthy non-mutation carriers (NMC) belonging to the same family line during daytime and nighttime. Time domain markers and HP variability complexity analyses were unable to separate groups. While single scale QT variability complexity analysis could distinguish NMC from mutation carriers, solely MSC of QT variability distinguished AMCs from SMCs, showing that AMCs have a reduced complexity in LF band during daytime. We conclude that a reduced complexity of the sympathetic drive directed to the ventricles might be protective against life threatening arrhythmias especially during day being the most risky period for LQT1 patients. MSC of QT variability could be fruitfully exploited to improve risk stratification in LQT1 population.
机译:基于线性模型的多尺度复杂度(MSC)方法已应用于从一组长QT综合征1型(LQT1)患者的24小时动态心电图记录中得出的短心脏周期(HP)和QT间隔变异性系列。 MSC方法允许评估HP和QT可变性的典型频带中的复杂度,即低频(LF,从0.04至0.15Hz)和高频(HF,从0.15至0.5Hz)。在白天和夜间,对7个LQT1无症状突变携带者(AMC),22个有症状突变携带者(SMC)和13个健康非突变携带者(NMC)进行了计算,并计算了MSC的单尺度复杂度。时域标记和HP变异性复杂度分析无法将组分开。虽然单尺度QT变异性复杂度分析可以将NMC与突变携带者区分开,但仅QT变异性的MSC可以将AMC与SMC区分,这表明AMC在白天的LF频段具有较低的复杂度。我们得出的结论是,针对心室的交感神经驱动系统的复杂性降低可能有助于预防威胁生命的心律不齐,尤其是在一天中,这是LQT1患者最危险的时期。可以有效利用QT变异性的MSC来改善LQT1人群的风险分层。

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