Comparison of QT/RR Relation Based on a 15-s Averaged ECG and a Single Beat ECG During Atrial Fibrillation

Fujiki, Akira; Sakabe, Masao

doi:10.1253/circj.cj-10-0654

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…These included a model based on average RR over the preceding 15 s (labeled M15 ) [19] and the model proposed by Ehlert et al [20] and used by Larroude et al [21] (i.e. ; labeled Mehl ).…”

Section: Methodsmentioning

confidence: 99%

Recent heart rate history affects QT interval duration in atrial fibrillation

et al. 2017

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QT interval prolongation is associated with a risk of polymorphic ventricular tachycardia. QT interval shortens with increasing heart rate and correction for this effect is necessary for meaningful QT interval assessment. We aim to improve current methods of correcting the QT interval during atrial fibrillation (AF). Digitized Holter recordings were analyzed from patients with AF. Models of QT interval dependence on RR intervals were tested by sorting the beats into 20 bins based on corrected RR interval and assessing ST-T variability within the bins. Signal-averaging within bins was performed to determine QT/RR dependence. Data from 30 patients (29 men, 69.3±7.3 years) were evaluated. QT behavior in AF is well described by a linear function (slope ~0.19) of steady-state corrected RR interval. Corrected RR is calculated as a combination of an exponential weight function with time-constant of 2 minutes and a smaller “immediate response” component (weight ~ 0.18). This model performs significantly (p<0.0001) better than models based on instantaneous RR interval only including Bazett and Fridericia. It also outperforms models based on shorter time-constants and other previously proposed models. This model may improve detection of repolarization delay in AF. QT response to heart rate changes in AF is similar to previously published QT dynamics during atrial pacing and in sinus rhythm.

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“…These included a model based on average RR over the preceding 15 s (labeled M15 ) [19] and the model proposed by Ehlert et al [20] and used by Larroude et al [21] (i.e. ; labeled Mehl ).…”

Section: Methodsmentioning

confidence: 99%

Recent heart rate history affects QT interval duration in atrial fibrillation

et al. 2017

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“…Our previous study demonstrated that slope of QT/RRaverage (using a 15-s averaged beat analysis) during AF was significantly greater than that of QT/RR-single (using a single beat analysis) during AF in patients with and without AAD therapy [9]. Slope of QT/RR-single was significantly smaller during AF than during sinus rhythm.…”

Section: Qt/rr During Af Based On a Single Beat Analysismentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

“…We have previously studied the QT/RR relation during AF using a 15-s averaged beat analysis (QT/RR-average) and a single-beat analysis (QT/RR-single) in 24-h Holter ECG [9]. QT interval after sinus restoration could be estimated better using QT/RR-average than using QT/RR-single during AF [9]. Patients with AF are often treated with QTprolonging antiarrhythmic drugs (AADs) and in some patients QT-prolonging effects of AAD become more remarkable after sinus restoration [10].…”

Section: Introductionmentioning

confidence: 99%

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QT/RR relation during atrial fibrillation based on a single beat analysis in 24-h Holter ECG: The role of the second and further preceding RR intervals in QT modification

Fujiki

Yoshioka

Sakabe

et al. 2011

Journal of Cardiology

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Evaluation of repolarization dynamics using the QT–RR regression line slope and intercept relationship during 24-h Holter ECG

2014

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QT-RR linear regression consists of two parameters, slope and intercept, and the aim of this study was to evaluate repolarization dynamics using the QT-RR linear regression slope and intercept relationship during 24-h Holter ECG. This study included 466 healthy subjects (54.6 ± 14.6 years; 200 men and 266 women) and 17 patients with ventricular arrhythmias, consisted of 10 patients with idiopathic ventricular fibrillation (IVF) and 7 patients with torsades de pointes (TDP). QT and RR intervals were measured from ECG waves based on a 15-s averaged ECG during 24-h Holter recording using an automatic QT analyzing system. The QT interval dependence on the RR interval was analyzed using a linear regression line for each subject ([QT] = A[RR] + B; where A is the slope and B is the y-intercept). The slope of the QT-RR regression line in healthy subjects was significantly greater in women than in men (0.185 ± 0.036 vs. 0.161 ± 0.033, p < 0.001) and the intercept was significantly smaller in women than in men (0.229 ± 0.028 vs. 0.240 ± 0.027, p < 0.001). A scatter diagram of the QT-RR regression line slope and intercept among healthy subjects demonstrated a statistically significant negative correlation (B = -0.62A + 0.34, r = -0.79). Distribution of both scatter diagrams of the slope and the intercept of the QT-RR regression line in patients with IVF and TDP was different from healthy subjects (left corner for IVF and upward shift for TDP). The slope and intercept relationship of the QT-RR linear regression line based on 24-h Holter ECG may become a simple useful marker for abnormality of ventricular repolarization dynamics.

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Comparison of QT/RR Relation Based on a 15-s Averaged ECG and a Single Beat ECG During Atrial Fibrillation

Cited by 4 publications

References 20 publications

Recent heart rate history affects QT interval duration in atrial fibrillation

Recent heart rate history affects QT interval duration in atrial fibrillation

QT/RR relation during atrial fibrillation based on a single beat analysis in 24-h Holter ECG: The role of the second and further preceding RR intervals in QT modification

Evaluation of repolarization dynamics using the QT–RR regression line slope and intercept relationship during 24-h Holter ECG

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