Delirium (PRE-DELIRIC) prediction model for intensive care patients, version 1 (old)
The PRE-DELIRIC model version 1 allows for early prediction of delirium and initiation of preventive measures. In 2014, the model was recalibrated based on multicenter data, resulting in version 2 of the model.

We recommend using the recalibrated PRE-DELIRIC model (version 2) instead. 
Research authors: van den Boogaard M, Pickkers P, Slooter AJ, Kuiper MA, Spronk PE, van der Voorst PH, van der Hoeven JG, Donders R, van Achterberg T, and Schoonhoven L.
Version: 1.39
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Risk of delirium in intensive care patient:

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How this model should be used: 
The PRE-DELIRIC model version 1 for intensive care patients consists of ten risk factors that are readily available within 24 hours afterintensive care admission and has a high predictive value. The model allows for early prediction of delirium and initiation of preventive measures. 

Recalibrated model available: 
In 2014, the PRE-DELIRIC model version 1 was recalibrated based on multicenter data, resulting in version 2 of the model. We recommend using the recalibrated model instead of version 1. 

Model performance: 
The AUROC was 0.87 (95% confidence interval 0.85 to 0.89) and 0.86 after bootstrapping. The AUROC for nurses' and physicians' predictions (n=124) was significantly lower at 0.59 (95% CI: 0.49 to 0.70) for both. Calibration of the model resulted in a calibration slope of 1.08 and an intercept of −0.06. In a multicenter validation performed in 2014 including 2852 intensive care patients, the mean AUROC of the eight participating centers was 0.77 (95% CI: 0.74 to 0.79). 

Source: 
van den Boogaard M, Pickkers P, Slooter AJ, et al. Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study. BMJ. 2012;344:e420.

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This model is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

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