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T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement

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Personen und Körperschaften: Schmidt, Martin, Baumert, Mathias, Malberg, Hagen, Zaunseder, Sebastian
Titel: T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
Format: E-Artikel
Sprache: Englisch
veröffentlicht:
Lausanne Frontiers Research Foundation
Online-Ausg.. 2017
Gesamtaufnahme: , Frontiers in Physiology (April 2016), 7, ISSN: 1664-042X. DOI: 10.3389/fphys.2016.00216. Artikelnr.: 216
Schlagwörter:
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520 |a Objectives: The inverse relationship between QT interval variability (QTV) and T wave amplitude potentially confounds QT variability assessment. We quantified the influence of the T wave amplitude on QTV in a comprehensive dataset and devised a correction formula. Methods: Three ECG datasets of healthy subjects were analyzed to model the relationship between T wave amplitude and QTV. To derive a generally valid correction formula, linear regression analysis was used. The proposed correction formula was applied to patients enrolled in the Evaluation of Defibrillator in Non-Ischemic Cardiomyopathy Treatment Evaluation trial (DEFINITE) to assess the prognostic significance of QTV for all-cause mortality in patients with non-ischemic dilated cardiomyopathy. Results: A strong inverse relationship between T wave amplitude and QTV was demonstrated, both in healthy subjects (R2 = 0.68, p < 0.001) and DEFINITE patients (R2 = 0.20, p < 0.001). Applying the T wave amplitude correction to QTV achieved 2.5-times better group discrimination between patients enrolled in the DEFINITE study and healthy subjects. Kaplan-Meier estimator analysis showed that T wave amplitude corrected QTVi is inversely related to survival (p < 0.01) and a significant predictor of all-cause mortality. Conclusion: We have proposed a simple correction formula for improved QTV assessment. Using this correction, predictive value of QTV for all-cause mortality in patients with non-ischemic cardiomyopathy has been demonstrated. 
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contents Objectives: The inverse relationship between QT interval variability (QTV) and T wave amplitude potentially confounds QT variability assessment. We quantified the influence of the T wave amplitude on QTV in a comprehensive dataset and devised a correction formula. Methods: Three ECG datasets of healthy subjects were analyzed to model the relationship between T wave amplitude and QTV. To derive a generally valid correction formula, linear regression analysis was used. The proposed correction formula was applied to patients enrolled in the Evaluation of Defibrillator in Non-Ischemic Cardiomyopathy Treatment Evaluation trial (DEFINITE) to assess the prognostic significance of QTV for all-cause mortality in patients with non-ischemic dilated cardiomyopathy. Results: A strong inverse relationship between T wave amplitude and QTV was demonstrated, both in healthy subjects (R2 = 0.68, p < 0.001) and DEFINITE patients (R2 = 0.20, p < 0.001). Applying the T wave amplitude correction to QTV achieved 2.5-times better group discrimination between patients enrolled in the DEFINITE study and healthy subjects. Kaplan-Meier estimator analysis showed that T wave amplitude corrected QTVi is inversely related to survival (p < 0.01) and a significant predictor of all-cause mortality. Conclusion: We have proposed a simple correction formula for improved QTV assessment. Using this correction, predictive value of QTV for all-cause mortality in patients with non-ischemic cardiomyopathy has been demonstrated.
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spelling Schmidt, Martin, T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement, Lausanne Frontiers Research Foundation, Online-Ausg. 2017 Online-Ressource (Text) Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, Objectives: The inverse relationship between QT interval variability (QTV) and T wave amplitude potentially confounds QT variability assessment. We quantified the influence of the T wave amplitude on QTV in a comprehensive dataset and devised a correction formula. Methods: Three ECG datasets of healthy subjects were analyzed to model the relationship between T wave amplitude and QTV. To derive a generally valid correction formula, linear regression analysis was used. The proposed correction formula was applied to patients enrolled in the Evaluation of Defibrillator in Non-Ischemic Cardiomyopathy Treatment Evaluation trial (DEFINITE) to assess the prognostic significance of QTV for all-cause mortality in patients with non-ischemic dilated cardiomyopathy. Results: A strong inverse relationship between T wave amplitude and QTV was demonstrated, both in healthy subjects (R2 = 0.68, p < 0.001) and DEFINITE patients (R2 = 0.20, p < 0.001). Applying the T wave amplitude correction to QTV achieved 2.5-times better group discrimination between patients enrolled in the DEFINITE study and healthy subjects. Kaplan-Meier estimator analysis showed that T wave amplitude corrected QTVi is inversely related to survival (p < 0.01) and a significant predictor of all-cause mortality. Conclusion: We have proposed a simple correction formula for improved QTV assessment. Using this correction, predictive value of QTV for all-cause mortality in patients with non-ischemic cardiomyopathy has been demonstrated., Ekg, Qt-Intervallvariabilität, T-Wellenamplitude, Risikostratifizierung, Definite, Tu Dresden, Publikationsfond, Ecg, Qt Interval Variability, T Wave Amplitude, Risk Stratification, Publishing Fund, Baumert, Mathias, Malberg, Hagen, Zaunseder, Sebastian, Frontiers in Physiology (April 2016), 7, ISSN: 1664-042X. DOI: 10.3389/fphys.2016.00216. Artikelnr.: 216, text/html https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-217300 Online-Zugriff
spellingShingle Schmidt, Martin, T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement, Objectives: The inverse relationship between QT interval variability (QTV) and T wave amplitude potentially confounds QT variability assessment. We quantified the influence of the T wave amplitude on QTV in a comprehensive dataset and devised a correction formula. Methods: Three ECG datasets of healthy subjects were analyzed to model the relationship between T wave amplitude and QTV. To derive a generally valid correction formula, linear regression analysis was used. The proposed correction formula was applied to patients enrolled in the Evaluation of Defibrillator in Non-Ischemic Cardiomyopathy Treatment Evaluation trial (DEFINITE) to assess the prognostic significance of QTV for all-cause mortality in patients with non-ischemic dilated cardiomyopathy. Results: A strong inverse relationship between T wave amplitude and QTV was demonstrated, both in healthy subjects (R2 = 0.68, p < 0.001) and DEFINITE patients (R2 = 0.20, p < 0.001). Applying the T wave amplitude correction to QTV achieved 2.5-times better group discrimination between patients enrolled in the DEFINITE study and healthy subjects. Kaplan-Meier estimator analysis showed that T wave amplitude corrected QTVi is inversely related to survival (p < 0.01) and a significant predictor of all-cause mortality. Conclusion: We have proposed a simple correction formula for improved QTV assessment. Using this correction, predictive value of QTV for all-cause mortality in patients with non-ischemic cardiomyopathy has been demonstrated., Ekg, Qt-Intervallvariabilität, T-Wellenamplitude, Risikostratifizierung, Definite, Tu Dresden, Publikationsfond, Ecg, Qt Interval Variability, T Wave Amplitude, Risk Stratification, Publishing Fund
title T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
title_auth T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
title_full T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
title_fullStr T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
title_full_unstemmed T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
title_in_hierarchy
title_short T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
title_sort t wave amplitude correction of qt interval variability for improved repolarization lability measurement
title_unstemmed T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement
topic Ekg, Qt-Intervallvariabilität, T-Wellenamplitude, Risikostratifizierung, Definite, Tu Dresden, Publikationsfond, Ecg, Qt Interval Variability, T Wave Amplitude, Risk Stratification, Publishing Fund
topic_facet Ekg, Qt-Intervallvariabilität, T-Wellenamplitude, Risikostratifizierung, Definite, Tu Dresden, Publikationsfond, Ecg, Qt Interval Variability, T Wave Amplitude, Risk Stratification, Publishing Fund
url https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-217300
urn urn:nbn:de:bsz:14-qucosa-217300
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