Abstract:BACKGROUND
A puzzling feature of the long QT syndrome (LQTS) is that family members carrying the same mutation often have divergent symptoms and clinical outcomes.
OBJECTIVES
We tested the hypothesis that vagal and sympathetic control, as assessed from spectral analysis of spontaneous beat-to-beat variability of RR and QT intervals from standard 24-hour electrocardiogram Holter recordings, can modulate the severity of LQTS type 1 (LQT1) in 46 members of a South-African LQT1 founder population carrying the cl… Show more
“…This finding suggests that AMCs are also different from NMCs, thus allowing us to hypothesize that AMCs have a peculiar genetic make-up playing a significant role in limiting the severity of their disease and providing them a key advantage for survival with respect to SMCs. This conclusion supports previous observations about the differences of the sympathetic modulation among NMCs, AMCs and SMCs [45], reporting that the sympathetic control is higher in AMCs, while those of NMCs and SMCs are similar. It is noteworthy that traditional time domain indexes utilized in clinics [18,19,46] cannot distinguish AMCs from SMCs (Table 1).…”
Section: Rmsce and Rmsse Distinguish Lqt1 Individuals With Different supporting
confidence: 92%
“…This finding suggested that having a reduced complexity of the cardiac control both at the level of sinus node and ventricles during DAY (i.e., when the arrhythmic risk is greatest in LQT1) is a protective factor [13]. Since AMCs are characterized by a more reactive sympathetic control [45] and a less reactive vagal regulation [45][46][47], this reduced complexity of the sympathetic control might be the result of the synchronization of neural inputs operating at slightly different temporal scales performed by the higher sympathetic driver [43,48]. However, this study added a new, relevant, piece of information.…”
Section: Rmsce and Rmsse Distinguish Lqt1 Individuals With Different mentioning
confidence: 99%
“…It is noteworthy that traditional time domain indexes utilized in clinics [18,19,46] cannot distinguish AMCs from SMCs (Table 1). Only a less frequently exploited time domain index such as the σ 2 QT can [45] (Table 1), thus suggesting that indexes derived from the multiscale complexity analysis are worth to be considered in addition to more traditional time domain parameters in clinics. We stress that the multiscale complexity analysis of HP is sufficient to separate AMCs and SMCs, thus rendering useless the extraction of the QT interval series and making the proposed analysis immediately applicable to HP series routinely extracted from 24-hour Holter recordings.…”
Section: Rmsce and Rmsse Distinguish Lqt1 Individuals With Different mentioning
Abstract:The study proposes the contemporaneous assessment of conditional entropy (CE) and self-entropy (sE), being the two terms of the Shannon entropy (ShE) decomposition, as a function of the time scale via refined multiscale CE (RMSCE) and sE (RMSsE) with the aim at gaining insight into cardiac control in long QT syndrome type 1 (LQT1) patients featuring the KCNQ1-A341V mutation. CE was estimated via the corrected CE (CCE) and sE as the difference between the ShE and CCE. RMSCE and
OPEN ACCESSEntropy 2015, 17 7769 RMSsE were computed over the beat-to-beat series of heart period (HP) and QT interval derived from 24-hour Holter electrocardiographic recordings during daytime (DAY) and nighttime (NIGHT). LQT1 patients were subdivided into asymptomatic and symptomatic mutation carriers (AMCs and SMCs) according to the severity of symptoms and contrasted with non-mutation carriers (NMCs). We found that RMSCE and RMSsE carry non-redundant information, separate experimental conditions (i.e., DAY and NIGHT) within a given group and distinguish groups (i.e., NMC, AMC and SMC) assigned the experimental condition. Findings stress the importance of the joint evaluation of RMSCE and RMSsE over HP and QT variabilities to typify the state of the autonomic function and contribute to clarify differences between AMCs and SMCs.
“…This finding suggests that AMCs are also different from NMCs, thus allowing us to hypothesize that AMCs have a peculiar genetic make-up playing a significant role in limiting the severity of their disease and providing them a key advantage for survival with respect to SMCs. This conclusion supports previous observations about the differences of the sympathetic modulation among NMCs, AMCs and SMCs [45], reporting that the sympathetic control is higher in AMCs, while those of NMCs and SMCs are similar. It is noteworthy that traditional time domain indexes utilized in clinics [18,19,46] cannot distinguish AMCs from SMCs (Table 1).…”
Section: Rmsce and Rmsse Distinguish Lqt1 Individuals With Different supporting
confidence: 92%
“…This finding suggested that having a reduced complexity of the cardiac control both at the level of sinus node and ventricles during DAY (i.e., when the arrhythmic risk is greatest in LQT1) is a protective factor [13]. Since AMCs are characterized by a more reactive sympathetic control [45] and a less reactive vagal regulation [45][46][47], this reduced complexity of the sympathetic control might be the result of the synchronization of neural inputs operating at slightly different temporal scales performed by the higher sympathetic driver [43,48]. However, this study added a new, relevant, piece of information.…”
Section: Rmsce and Rmsse Distinguish Lqt1 Individuals With Different mentioning
confidence: 99%
“…It is noteworthy that traditional time domain indexes utilized in clinics [18,19,46] cannot distinguish AMCs from SMCs (Table 1). Only a less frequently exploited time domain index such as the σ 2 QT can [45] (Table 1), thus suggesting that indexes derived from the multiscale complexity analysis are worth to be considered in addition to more traditional time domain parameters in clinics. We stress that the multiscale complexity analysis of HP is sufficient to separate AMCs and SMCs, thus rendering useless the extraction of the QT interval series and making the proposed analysis immediately applicable to HP series routinely extracted from 24-hour Holter recordings.…”
Section: Rmsce and Rmsse Distinguish Lqt1 Individuals With Different mentioning
Abstract:The study proposes the contemporaneous assessment of conditional entropy (CE) and self-entropy (sE), being the two terms of the Shannon entropy (ShE) decomposition, as a function of the time scale via refined multiscale CE (RMSCE) and sE (RMSsE) with the aim at gaining insight into cardiac control in long QT syndrome type 1 (LQT1) patients featuring the KCNQ1-A341V mutation. CE was estimated via the corrected CE (CCE) and sE as the difference between the ShE and CCE. RMSCE and
OPEN ACCESSEntropy 2015, 17 7769 RMSsE were computed over the beat-to-beat series of heart period (HP) and QT interval derived from 24-hour Holter electrocardiographic recordings during daytime (DAY) and nighttime (NIGHT). LQT1 patients were subdivided into asymptomatic and symptomatic mutation carriers (AMCs and SMCs) according to the severity of symptoms and contrasted with non-mutation carriers (NMCs). We found that RMSCE and RMSsE carry non-redundant information, separate experimental conditions (i.e., DAY and NIGHT) within a given group and distinguish groups (i.e., NMC, AMC and SMC) assigned the experimental condition. Findings stress the importance of the joint evaluation of RMSCE and RMSsE over HP and QT variabilities to typify the state of the autonomic function and contribute to clarify differences between AMCs and SMCs.
“…Other approaches to assess repolarization variability use parametric modeling [42], [75], [76]. While in [76] Porta et al investigate variability of the RT interval, in [42] Almeida et al explore QTV, and in [75] the variability from the R peak to the T wave end (RTe) is considered. The use of RT instead of QT avoids the need to determine the end of the T wave, which is usually considered to be problematic.…”
Section: ) Qt Adaptation To Hr Changesmentioning
confidence: 99%
“…The association between increased repolarization variability and risk for VT/VF was also shown in [80] for post-MI patients with severe left ventricular (LV) dysfunction. In [75] an index quantifying autonomic control of HR and RTe was shown to separate symptomatic LQTS carriers from asymptomatic ones and controls.…”
Abstract-Instabilities in ventricular repolarization have been documented to be tightly linked to arrhythmia vulnerability. Translation of the information contained in the repolarization phase of the ECG into valuable clinical decision-making tools remains challenging. This work aims at providing an overview of the last advances in the proposal and quantification of ECG-derived indices that describe repolarization properties and whose alterations are related with threatening arrhythmogenic conditions. A review of the state-of-the-art is provided, spanning from the electrophysiological basis of ventricular repolarization to its characterization on the surface ECG through a set of temporal and spatial risk markers.Index Terms-Electrophysiological basis of the ECG, ECG waves, ECG intervals, repolarization instabilities, spatial and temporal ventricular repolarization dispersion, cardiac arrhythmias, biophysical modeling of the ECG, ECG signal processing, repolarization risk markers, T wave alternans, QT variability.
A sizeable proportion of SUDEP cases have clinically relevant mutations in cardiac arrhythmia and epilepsy genes. In cases with an LQTS gene mutation, SUDEP may occur as a result of a predictable and preventable cause. Understanding the genetic basis of SUDEP may inform cascade testing of at-risk family members.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.