Increased Tpeak-Tend interval is highly and independently related to arrhythmic events in XXXX .

@entity1 @entity1789 @entity944 @entity1163 @entity1129 @entity943
BACKGROUND: Risk stratification in @entity1789 ( @entity1789 ) remains controversial. The time interval between the peak and the end of the T wave (Tpe interval), a marker of transmural dispersion of repolarization, has been linked to @entity943 in various settings but leads to discordant results in @entity1789 . OBJECTIVE: We study the correlation of the Tpe interval with arrhythmic events in a large cohort of @entity1 with @entity1789 . METHODS: A total of 325 consecutive @entity1 with @entity1789 (mean age 47  13 years, 259 @entity1 -80%) with spontaneous (n=143, 44%) or drug-induced (n=182, 56%) type 1 electrocardiogram were retrospectively included. 235 were asymptomatic (70%), 80 presented with unexplained @entity1163 (22%), and 10 presented with @entity944 ( @entity944 ) or appropriate implantable cardioverter-defibrillator therapy ( @entity1129 ) (8%) at diagnosis or over a mean follow-up of 48    34 months. The Tpe interval was calculated as the difference between the QT interval and the QT peak interval as measured in each of the precordial leads. RESULTS: The Tpe interval from lead V1 to lead V4, maximum value of the Tpe interval (max Tpe), and Tpe dispersion in all precordial leads were significantly higher in @entity1 with @entity944 / @entity1129 or in @entity1 with @entity1163 than in asymptomatic @entity1 (P < .001). A max Tpe of >= 100 ms was present in 47 of 226 asymptomatic @entity1 (21%), in 48 of 73 @entity1 with @entity1163 (66%), and in 22 of 26 @entity1 with @entity944 / @entity1129 (85%) (P < .0001). In multivariate analysis, a max Tpe of >= 100 ms was independently related to arrhythmic events (odds ratio 9.61; 95% confidence interval 3.13-29.41; P < .0001). CONCLUSION: The Tpe interval in the precordial leads is highly related to @entity943 in this large cohort of @entity1 with @entity1789 . This simple electrocardiographic parameter could be used to refine risk stratification.
