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

被引：1
|
作者：
DePaolo, John [1 ]
Zhang, David Y. [2 ]
Damrauer, Scott M. [2 ,3 ,4 ,5 ]
机构：
[1] Univ Penn, Perelman Sch Med, Dept Surg, Philadelphia, PA 19104 USA
[2] Univ Penn, Perelman Sch Med, Dept Genet, Philadelphia, PA 19104 USA
[3] Univ Penn, Perelman Sch Med, Dept Surg, Div Vasc Surg, 3400 Civ Ctr Dr,14th Floor South Perelman Ctr, Philadelphia, PA 19104 USA
[4] Univ Penn, Perelman Sch Med, Dept Med, Cardiovasc Inst, Philadelphia, PA 19104 USA
[5] Corporal Michael Crescenz VA Med Ctr, Philadelphia, PA 19104 USA
来源：
EUROPEAN HEART JOURNAL | 2024年 / 45卷 / 40期
关键词：
DIAMETER;
D O I：
10.1093/eurheartj/ehae499
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
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 [GRAPHICS]
引用
收藏
页码：4333 / 4335
页数：3
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