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Development and Validation of Elective and Nonelective Risk Prediction Models for In- Hospital Mortality in Proximal Aortic Surgery Using the National.

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Presentation on theme: "Development and Validation of Elective and Nonelective Risk Prediction Models for In- Hospital Mortality in Proximal Aortic Surgery Using the National."— Presentation transcript:

1 Development and Validation of Elective and Nonelective Risk Prediction Models for In- Hospital Mortality in Proximal Aortic Surgery Using the National Institute for Cardiovascular Outcomes Research (NICOR) Database  Mohamad Bashir, MD, MRCS, Matthew A. Shaw, MA, Anthony D. Grayson, MA, Matthew Fok, MBChB, Graeme L. Hickey, PhD, Stuart W. Grant, PhD, Ben Bridgewater, FRCS, Aung Y. Oo, FRCS  The Annals of Thoracic Surgery  Volume 101, Issue 5, Pages (May 2016) DOI: /j.athoracsur Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions

2 Fig 1 Calibration plot that compares observed and predicted in-hospital deaths, the bold black line represents perfect calibration. The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions

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