ArticleFrontiers in physiology2016
T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement.
Article in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 22 citations in OpenAlex.
- Assessment of the human response to acute mental stress-An overview and a multimodal study.PloS one · 2023Article
- Short-Term Beat-to-Beat QT Variability Appears Influenced More Strongly by Recording Quality Than by Beat-to-Beat RR Variability.Frontiers in physiology · 2022Article
- Short-term QT interval variability in patients with coronary artery disease and congestive heart failure: a comparison with healthy control subjects.Medical & biological engineering & computing · 2019Article
- Evidence of cardiac electrical remodeling in patients with Huntington disease.Brain and behavior · 2018Article
- Increased Short-Term Beat-to-Beat QT Interval Variability in Patients with Impaired Glucose Tolerance.Frontiers in endocrinology · 2017Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe 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.
methodsThree 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.
resultsA strong inverse relationship between T wave amplitude and QTV was demonstrated, both in healthy subjects (R (2) = 0.68, p < 0.001) and DEFINITE patients (R (2) = 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.
conclusionWe 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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