The Accuracy of the EASI-Derived Spatial QRS-T Angle

Daniel Guldenring, Dewar Finlay, Raymond Bond, Alan Kennedy, James McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There has been recent interest in whether the spatial QRS-T angle (SA) can be used in Thorough QT studies to serve as a marker for increased risk of torsades de pointes. The determination of the SA requires vectorcardiographic data. Such data is however seldom recorded in monitoring applications. Specifically the number and the location of the electrodes, that are required when recording th e Frank VCG, complicate the recording of vectorcardiogr aphic data in monitoring applications. An alternative and more practical way for obtaining vectorcardiographic data in monitoring applications is the utilization of the EASI lead system. A previously published set of linear lead transformations allows for the derivation of the Frank VCG from the EASI lead system. This EASI-derived VCG can be used for the determination of an EASI-derived SA (ESA). The accuracy of the ESA has, ho wever, not been reported in the literature. The aim of this research was the quantification of the differences between the ESA and the SA. This was achieved using electrocardiographic data recorded from 220 healthy s ubjects. To this end, the difference (ESA-SA) between the ESA and the SA was calculated for all 220 subjects. This difference was subsequently analyzed in order to determine the systematic error (mean difference) and the random error (span of the Bland- Altman 95% limits of agreement) that is made when determining the ESA. The systematic error between the SA and the ESA was found to be 11.6° [95% confidence interval: 9.8°; 13.40°]. The random error was found to be 52.9° [95% confidence interval: 48.44°; 58.45°]. The findings of this research suggest that both systematic and random error can not be overlooked when using the ESA as a substitute for the SA.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages293-296
Number of pages4
Publication statusPublished - 1 Nov 2014
EventComputing in Cardiology - Boston, MIT
Duration: 1 Nov 2014 → …

Conference

ConferenceComputing in Cardiology
Period1/11/14 → …

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confidence interval
monitoring
electrode
marker

Cite this

Guldenring, D., Finlay, D., Bond, R., Kennedy, A., & McLaughlin, J. (2014). The Accuracy of the EASI-Derived Spatial QRS-T Angle. In Unknown Host Publication (pp. 293-296)
Guldenring, Daniel ; Finlay, Dewar ; Bond, Raymond ; Kennedy, Alan ; McLaughlin, James. / The Accuracy of the EASI-Derived Spatial QRS-T Angle. Unknown Host Publication. 2014. pp. 293-296
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Guldenring, D, Finlay, D, Bond, R, Kennedy, A & McLaughlin, J 2014, The Accuracy of the EASI-Derived Spatial QRS-T Angle. in Unknown Host Publication. pp. 293-296, Computing in Cardiology, 1/11/14.

The Accuracy of the EASI-Derived Spatial QRS-T Angle. / Guldenring, Daniel; Finlay, Dewar; Bond, Raymond; Kennedy, Alan; McLaughlin, James.

Unknown Host Publication. 2014. p. 293-296.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Bond, Raymond

AU - Kennedy, Alan

AU - McLaughlin, James

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N2 - There has been recent interest in whether the spatial QRS-T angle (SA) can be used in Thorough QT studies to serve as a marker for increased risk of torsades de pointes. The determination of the SA requires vectorcardiographic data. Such data is however seldom recorded in monitoring applications. Specifically the number and the location of the electrodes, that are required when recording th e Frank VCG, complicate the recording of vectorcardiogr aphic data in monitoring applications. An alternative and more practical way for obtaining vectorcardiographic data in monitoring applications is the utilization of the EASI lead system. A previously published set of linear lead transformations allows for the derivation of the Frank VCG from the EASI lead system. This EASI-derived VCG can be used for the determination of an EASI-derived SA (ESA). The accuracy of the ESA has, ho wever, not been reported in the literature. The aim of this research was the quantification of the differences between the ESA and the SA. This was achieved using electrocardiographic data recorded from 220 healthy s ubjects. To this end, the difference (ESA-SA) between the ESA and the SA was calculated for all 220 subjects. This difference was subsequently analyzed in order to determine the systematic error (mean difference) and the random error (span of the Bland- Altman 95% limits of agreement) that is made when determining the ESA. The systematic error between the SA and the ESA was found to be 11.6° [95% confidence interval: 9.8°; 13.40°]. The random error was found to be 52.9° [95% confidence interval: 48.44°; 58.45°]. The findings of this research suggest that both systematic and random error can not be overlooked when using the ESA as a substitute for the SA.

AB - There has been recent interest in whether the spatial QRS-T angle (SA) can be used in Thorough QT studies to serve as a marker for increased risk of torsades de pointes. The determination of the SA requires vectorcardiographic data. Such data is however seldom recorded in monitoring applications. Specifically the number and the location of the electrodes, that are required when recording th e Frank VCG, complicate the recording of vectorcardiogr aphic data in monitoring applications. An alternative and more practical way for obtaining vectorcardiographic data in monitoring applications is the utilization of the EASI lead system. A previously published set of linear lead transformations allows for the derivation of the Frank VCG from the EASI lead system. This EASI-derived VCG can be used for the determination of an EASI-derived SA (ESA). The accuracy of the ESA has, ho wever, not been reported in the literature. The aim of this research was the quantification of the differences between the ESA and the SA. This was achieved using electrocardiographic data recorded from 220 healthy s ubjects. To this end, the difference (ESA-SA) between the ESA and the SA was calculated for all 220 subjects. This difference was subsequently analyzed in order to determine the systematic error (mean difference) and the random error (span of the Bland- Altman 95% limits of agreement) that is made when determining the ESA. The systematic error between the SA and the ESA was found to be 11.6° [95% confidence interval: 9.8°; 13.40°]. The random error was found to be 52.9° [95% confidence interval: 48.44°; 58.45°]. The findings of this research suggest that both systematic and random error can not be overlooked when using the ESA as a substitute for the SA.

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BT - Unknown Host Publication

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Guldenring D, Finlay D, Bond R, Kennedy A, McLaughlin J. The Accuracy of the EASI-Derived Spatial QRS-T Angle. In Unknown Host Publication. 2014. p. 293-296