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Development and Validation of a Score to Predict the Risk of Readmission After Adult Cardiac Operations Arman Kilic, MD, Jonathan T. Magruder, MD, Joshua C. Grimm, MD, Samuel P. Dungan, BS, Todd Crawford, MD, Glenn J.R. Whitman, MD, John V. Conte, MD The Annals of Thoracic Surgery Volume 103, Issue 1, Pages (January 2017) DOI: /j.athoracsur Copyright © 2017 The Society of Thoracic Surgeons Terms and Conditions
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Fig 1 Ten most common primary causes for 30-day readmission. (GI = gastrointestinal; MI = myocardial infarction.) The Annals of Thoracic Surgery , 66-73DOI: ( /j.athoracsur ) Copyright © 2017 The Society of Thoracic Surgeons Terms and Conditions
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Fig 2 Probability curve for 30-day readmission based on risk score in training cohort. The Annals of Thoracic Surgery , 66-73DOI: ( /j.athoracsur ) Copyright © 2017 The Society of Thoracic Surgeons Terms and Conditions
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Fig 3 Weighted linear regression demonstrating correlation between predicted 30-day readmission rates based on training cohort and actual 30-day readmission rates based on validation cohort for each risk score. Weights are depicted by size of bubble, which corresponds to number of patients with that particular risk score. The Annals of Thoracic Surgery , 66-73DOI: ( /j.athoracsur ) Copyright © 2017 The Society of Thoracic Surgeons Terms and Conditions
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