Leveraging genetic data to improve the care of patients with thoracic aortic dilation

Polygenic score for ascending thoracic aortic diameter Thoracic event predictionScreening for thoracic aortic dilation Leveraging genetic data to improve thoracic aortic dilation management Potential future implementation of the AORTA Gene model to improve the treatment of individuals with thoracic aortic disease.The AORTA Gene model is derived from the integration of a polygenic score for ascending aortic diameter into the clinical AORTA Score.AORTA Gene can potentially be applied to determine patients who warrant screening for thoracic aortic dilation.In the future it is hoped that similar models will be able to be inform who may benefit from aggressive medical management or earlier elective surgical intervention based on individual-level risk.This figure was generated with Biorender.com

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Publication Details

Journal
European Heart Journal
Published
2024-08-16
DOI
https://doi.org/10.1093/eurheartj/ehae499
Citations
3
Primary Topic
Aortic Disease and Treatment Approaches
Type
article
Field-Weighted Citation Impact
1.26

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article

Leveraging genetic data to improve the care of patients with thoracic aortic dilation

John DePaolo, Scott M. Damrauer, David Zhang
3 citations
European Heart Journal
Aortic Disease and Treatment Approaches
1.26
article

Leveraging genetic data to improve the care of patients with thoracic aortic dilation

John DePaolo, Scott M. Damrauer, David Zhang
article en
3 citations

Abstract

Polygenic score for ascending thoracic aortic diameter Thoracic event predictionScreening for thoracic aortic dilation Leveraging genetic data to improve thoracic aortic dilation management Potential future implementation of the AORTA Gene model to improve the treatment of individuals with thoracic aortic disease.The AORTA Gene model is derived from the integration of a polygenic score for ascending aortic diameter into the clinical AORTA Score.AORTA Gene can potentially be applied to determine patients who warrant screening for thoracic aortic dilation.In the future it is hoped that similar models will be able to be inform who may benefit from aggressive medical management or earlier elective surgical intervention based on individual-level risk.This figure was generated with Biorender.com

European Heart JournalVol. 45(40)
Philadelphia VA Medical Center (US), University of Pennsylvania (US)
American Heart Association
Openalex Percentile: Top 19%
Aortic Disease and Treatment Approaches
1.26
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Leveraging genetic data to improve the care of patients with thoracic aortic dilation — John DePaolo, Scott M. Damrauer, et al. · European Heart Journal (2024) | TGRS Research Map | TGRS