In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models
Research output: Contribution to journal › Journal article › Research › peer-review
The study was designed to assess the ability of computer-simulated electrocardiography parameters to predict clinical outcomes and to risk-stratify patients with long QT syndrome type 1 (LQT1).
| Original language | English |
|---|---|
| Journal | Journal of the American College of Cardiology |
| Volume | 60 |
| Issue number | 21 |
| Pages (from-to) | 2182-91 |
| Number of pages | 10 |
| ISSN | 0735-1097 |
| DOIs | |
| Publication status | Published - 20 Nov 2012 |
- Adolescent, Adult, Computer Simulation, DNA, Electrophysiologic Techniques, Cardiac, Female, Follow-Up Studies, Genotype, Heart Rate, Humans, KCNQ1 Potassium Channel, Male, Models, Cardiovascular, Mutation, Phenotype, Predictive Value of Tests, Prognosis, Registries, Risk Assessment, Risk Factors, Romano-Ward Syndrome, Young Adult
Research areas
ID: 48052110