November 1, 2017Circulation Arrhythmia and ElectrophysiologyOpen Access

Left slope of T wave in lead V6 (HR 0.40 [0.24–0.69]; P<0.001) and T-wave center of gravity x axis in lead I (HR 1.90 [1.21–2.99]; P=0.005) independently predicted events, improving C statistic to 0.78 compared to 0.68 for QTc alone.

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Why the study?

Does morphological T-wave analysis improve prediction of breakthrough arrhythmic events beyond QTc in patients with LQT1 and LQT2?

Population

407 genetically confirmed patients with LQT1 (n=246; 43% men) and LQT2 (n=161; 41% men)

Comparison

Morphological T-wave analysis using a novel… vs QTc value alone

Design

Cohort

Follow-up

mean 6.4±3.9 years

Authors

ASAlan Sugrue RRRam K. Rohatgi PNPeter A. Noseworthy

Discussion

Member takes

Overview

T-wave morphology metrics may refine residual arrhythmic risk detection beyond QTc in treated LQT1/2; leaves open whether they should guide therapy.

Structured PICO

Does morphological T-wave analysis improve prediction of breakthrough arrhythmic events beyond QTc in patients with LQT1 and LQT2?

Population

407 genetically confirmed patients with LQT1 (n=246; 43% men) and LQT2 (n=161; 41% men)

Intervention

Morphological T-wave analysis using a novel, proprietary program

Comparator

QTc value alone

Outcome

Time to a LQTS-associated cardiac event (breakthrough cardiac arrhythmic events)hard clinical

Detailed morphological T-wave analysis improves risk stratification for breakthrough arrhythmic events beyond standard QTc measurement in patients with Long-QT syndrome, particularly LQT2.

Cite This Study

Sugrue et al. (2017) studied this question.

synapsesocial.com/papers/6a70b6a384cc45bb7bdfd024 https://doi.org/10.1161/circep.117.005648

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November 1, 2017Circulation Arrhythmia and ElectrophysiologyOpen Access

Left slope of T wave in lead V6 (HR 0.40 [0.24–0.69]; P<0.001) and T-wave center of gravity x axis in lead I (HR 1.90 [1.21–2.99]; P=0.005) independently predicted events, improving C statistic to 0.78 compared to 0.68 for QTc alone.

View Full Paper

Ask AI

Bookmark

Why the study?

Does morphological T-wave analysis improve prediction of breakthrough arrhythmic events beyond QTc in patients with LQT1 and LQT2?

Population

407 genetically confirmed patients with LQT1 (n=246; 43% men) and LQT2 (n=161; 41% men)

Comparison

Morphological T-wave analysis using a novel… vs QTc value alone

Design

Cohort

Follow-up

mean 6.4±3.9 years

Authors

ASAlan Sugrue RRRam K. Rohatgi PNPeter A. Noseworthy

Discussion

Member takes

Overview

T-wave morphology metrics may refine residual arrhythmic risk detection beyond QTc in treated LQT1/2; leaves open whether they should guide therapy.

Structured PICO

Does morphological T-wave analysis improve prediction of breakthrough arrhythmic events beyond QTc in patients with LQT1 and LQT2?

Population

407 genetically confirmed patients with LQT1 (n=246; 43% men) and LQT2 (n=161; 41% men)

Intervention

Morphological T-wave analysis using a novel, proprietary program

Comparator

QTc value alone

Outcome

Time to a LQTS-associated cardiac event (breakthrough cardiac arrhythmic events)hard clinical

Detailed morphological T-wave analysis improves risk stratification for breakthrough arrhythmic events beyond standard QTc measurement in patients with Long-QT syndrome, particularly LQT2.

Cite This Study

Sugrue et al. (2017) studied this question.

synapsesocial.com/papers/6a70b6a384cc45bb7bdfd024 https://doi.org/10.1161/circep.117.005648

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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