The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
Open accessAbstract
Sudden cardiac death (SCD) from arrhythmias is a leading cause of mortality. For patients at high SCD risk, prophylactic insertion of implantable cardioverter defibrillators (ICDs) reduces mortality. Current approaches to identify patients at risk for arrhythmia are, however, of low sensitivity and specificity, which results in a low rate of appropriate ICD therapy. Here, we develop a personalized approach to assess SCD risk in post-infarction patients based on cardiac imaging and computational modelling. We construct personalized three-dimensional computer models of post-infarction hearts from patients’ clinical magnetic resonance imaging data and assess the propensity of each model to develop arrhythmia. In a proof-of-concept retrospective study, the virtual heart test significantly outperformed several existing clinical metrics in predicting future arrhythmic events. The robust and non-invasive personalized virtual heart risk assessment may have the potential to prevent SCD and avoid unnecessary ICD implantations.
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Cites
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The ‘Digital Twin’ to enable the vision of precision cardiology
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Computationally guided personalized targeted ablation of persistent atrial fibrillation
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Self-citationValidation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology
Pathmanathan, P., & Gray, R. A. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00106 · Cited by 63
Metadata
- Authors
- Arevalo, H. J., Vadakkumpadan, F., Guallar, E., Jebb, A., Malamas, P., Wu, K. C., & Trayanova, N. A.
- Venue
- Nature Communications
- Published
- 2016-05-10
- Volume
- 7
- Issue
- 1
- Pages
- 11437-11437
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2367512715
- Cited by
- 465
- References
- 57
- FWCI
- 33.37
- Type
- journal article
- Language
- en
- Open access
- gold
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- Arevalo, H. J., Vadakkumpadan, F., Guallar, E., Jebb, A., Malamas, P., Wu, K. C., & Trayanova, N. A. (2016). Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models. Nature Communications. https://doi.org/10.1038/ncomms11437
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
