Title : In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models.

Pub. Date : 2012 Nov 20

PMID : 23153844






2 Functional Relationships(s)
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1 CONCLUSIONS: These findings suggest that simulated repolarization can be used to predict clinical outcomes and to improve risk stratification in patients with LQT1, with a more pronounced effect among patients with a lower-range QTc, in whom a patient"s individual QTc may provide less incremental prognostic information. qtc potassium voltage-gated channel subfamily Q member 1 Homo sapiens
2 CONCLUSIONS: These findings suggest that simulated repolarization can be used to predict clinical outcomes and to improve risk stratification in patients with LQT1, with a more pronounced effect among patients with a lower-range QTc, in whom a patient"s individual QTc may provide less incremental prognostic information. qtc potassium voltage-gated channel subfamily Q member 1 Homo sapiens