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Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm  Akiko Tanaka, MD, PhD, Harleen K. Sandhu, MD, MPH,

Published byGwendoline Dina Dickerson Modified over 6 years ago

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Presentation on theme: "Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm  Akiko Tanaka, MD, PhD, Harleen K. Sandhu, MD, MPH,"— Presentation transcript:

1 Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm  Akiko Tanaka, MD, PhD, Harleen K. Sandhu, MD, MPH, Wande B. Pratt, MD, MPH, Rana Afifi, MD, Charles C. Miller, PhD, Kristofer Charlton-Ouw, MD, Maria E. Codreanu, MD, Naveed U. Saqib, MD, Ali Azizzadeh, MD, Hazim J. Safi, MD, Anthony L. Estrera, MD  The Annals of Thoracic Surgery  Volume 105, Issue 3, Pages (March 2018) DOI: /j.athoracsur Copyright © 2018 The Society of Thoracic Surgeons Terms and Conditions

2 Fig 1 (A) Rate of treatment failure after open vs thoracic endovascular aneurysm repair (TEVAR). (B) Propensity-adjusted treatment failure. The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2018 The Society of Thoracic Surgeons Terms and Conditions

3 Fig 2 (A) Long-term survival comparison of open repair vs thoracic endovascular aneurysm repair (TEVAR). (B) Propensity-adjusted long-term survival. Direct adjusted survivor estimates from a Cox proportional hazards model were adjusted for propensity score. These arise from the same data with the same numbers at risk as the Kaplan-Meier analysis shown in panel A. The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2018 The Society of Thoracic Surgeons Terms and Conditions

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