1. Risk prediction models for delirium in the intensive care unit after cardiac surgery: a systematic review and independent external validation 
A Lee, J.L. Mu, G.M. Joynt, C.H. Chiu, V.K.W. Lai, T Gin, M.J. Underwood 
British Journal of Anaesthesia 
Volume 118, Issue 3, Pages (March 2017)
DOI: /bja/aew476
Copyright © 2017 The Author(s) Terms and Conditions

2. Fig 1
Systematic review flowchart for identifying validated risk prediction models for delirium in the intensive care unit after cardiac surgery.
British Journal of Anaesthesia  , DOI: ( /bja/aew476)
Copyright © 2017 The Author(s) Terms and Conditions

3. Fig 2 Independent external validation study flow chart.
British Journal of Anaesthesia  , DOI: ( /bja/aew476)
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4. Fig 3
Comparison of Katznelson20 and recalibrated PRE-DELIRIC22 risk prediction models for area under the receiver operating characteristic (AUROC) curve with cut-offs at 10% (very low), 20% (low), 40% (moderate), and 60% (high).
British Journal of Anaesthesia  , DOI: ( /bja/aew476)
Copyright © 2017 The Author(s) Terms and Conditions

5. Fig 4
Comparison of decision curves for prediction of intensive care unit delirium after cardiac surgery. The threshold probability is the level above which a patient (or physician) would choose prophylactic treatment for delirium. Green dotted line assumes no patients have delirium (treat none). Black short-dashed line assumes all patients have delirium (treated all). Orange long-dashed line represents the expected benefit associated with the Katznelson model.20 Blue continuous line represents the expected benefit associated with the recalibrated PRE-DELIRIC model.22
British Journal of Anaesthesia  , DOI: ( /bja/aew476)
Copyright © 2017 The Author(s) Terms and Conditions