2012
DOI: 10.1016/j.ahj.2012.02.023
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Methodologies to characterize the QT/corrected QT interval in the presence of drug-induced heart rate changes or other autonomic effects

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Cited by 105 publications
(165 citation statements)
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“…A limitation of the study is the methodology used for heart rate correction of the QT interval. For drugs with a pronounced effect on the heart rate such as rac-sotalol, standard correction methods may not completely remove the heart rate dependence of the derived QTc interval [36], as demonstrated by the slope of the QTc/RR regression lines (Figure 3). Even so, our findings were essentially the same for a population-derived method, QTcF, a study-specific method, QTcN and for a method based on each subject's QT/RR pairs, QTcI.…”
Section: Study Limitationsmentioning
confidence: 99%
“…A limitation of the study is the methodology used for heart rate correction of the QT interval. For drugs with a pronounced effect on the heart rate such as rac-sotalol, standard correction methods may not completely remove the heart rate dependence of the derived QTc interval [36], as demonstrated by the slope of the QTc/RR regression lines (Figure 3). Even so, our findings were essentially the same for a population-derived method, QTcF, a study-specific method, QTcN and for a method based on each subject's QT/RR pairs, QTcI.…”
Section: Study Limitationsmentioning
confidence: 99%
“…The majority of these studies investigated the relationship by means of linear regression between simultaneously measured QT and RR intervals; only infrequently was the linear regression applied to logarithmically transformed QT and RR data. However, the pattern of the QT/RR relationship is not necessarily linear (9) and is known to be frequently steeper at faster heart rates compared with slower heart rates. In studies using a linear QT/RR relationship, this possibly creates a systematic bias when the target clinical populations differ or can be expected to differ in heart rate (4,6), making the observations of the differences between linear QT/RR slopes potentially erroneous.…”
mentioning
confidence: 99%
“…Since the design of accurate individual QT rate corrections depends on accurate mathematical description of baseline QT/RR relationship (9), it has been proposed to fit different nonlinear models to the data of different individuals, which, in essence, means to classify the curvatures of the QT/RR patterns into several distinct categories (10,12). While this technology has been used successfully in studies of electrocardiographic drug effects (24,25), it does not deal with the problem of the QT/RR curvature fully (26).…”
mentioning
confidence: 99%
“…However, if investigating QTc changes associated with systematic heart rate acceleration or deceleration, the technology of individualised heart rate correction needs to be applied to avoid correction errors. 5 Following the mathematical implementation used when the technique of individualised heart rate correction was introduced, 6 has been used [7][8][9] (where the RR interval measured in seconds represents the heart rate underlying the QT interval measurement). The first of these equations assumes linear relationship between QT and RR intervals; the other assumes linear relationship between the logarithms of QT and RR values.…”
Section: Introductionmentioning
confidence: 99%