T-Wave Morphology Analysis in Congenital Long QT Syndrome Discriminates Patients From Healthy Individuals

Abstract

Automated T-wave morphology analysis accurately discriminates patients with pathogenic LQTS mutations from control subjects and between the 2 most common LQTS subtypes. Mutation carriers without baseline QTc prolongation were also identified. This may be a useful tool for screening families of LQTS patients, particularly when the QTc interval is subthreshold and genetic testing is unavailable.

Long QT Syndrome and Perioperative Torsades de Pointes: What the Anesthesiologist Should Know

“…Regarding LQTS, for example, more than 600 mutations have been identified in the responsible genes 13 . The prevalence of congenital long QT syndrome is quite high when latent or concealed LQTS is factored in 31 . As indicated above, drug-induced LQTS may be a pharmacogenomic syndrome predisposed by rare genetic variants 63 .…”

European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population

“…Computerized T-wave analytic techniques such as principal component analysis, T-wave residuum, flatness, asymmetry, and notching have been developed in an effort to detect and quantify abnormal repolarization and may have particular value in identifying patients with LQTS. 37 , 38 Moreover, it has been shown that adding T-wave morphology characterizations to age, gender, and QTc in a support vector machine model can improve LQTS diagnosis. 39 However, these additional analytic techniques are not used in routine clinical practice.…”

European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population

“…Abnormal T wave notching can be a clue to abnormal repolarization and is often seen in patients with QT prolongation. Computerized T‐wave analytic techniques such as principal component analysis, T‐wave residuum, flatness, asymmetry, and notching have been developed in an effort to detect and quantify abnormal repolarization and may have particular value in identifying patients with LQTS 37,38 . Moreover, it has been shown that adding T‐wave morphology characterizations to age, gender, and QTc in a support vector machine model can improve LQTS diagnosis 39 .…”