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PRE-DELIRIC: PRE-DELIRIC delirium prediction model

2012

A ten-predictor model estimating the probability of developing delirium during an ICU stay. It supports prevention planning and does not detect delirium already present.

Classification

Classification

Future-risk predictionUse in intensive care units

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Tool and original sources

This record describes a method rather than a downloadable bedside form. The main source is linked below.

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Original paper

  • Principal sourcevan den Boogaard M, Pickkers P, Slooter AJ, Kuiper MA, Spronk PE, van der Voort PH, 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 (Clinical research ed.). 2012;344:e420. doi: 10.1136/bmj.e420. PMID: 22323509.

    This paper reports the development and initial validation of PRE-DELIRIC. It is the main source for the method, its intended use and the evidence available at publication.

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No eligible DTA study identifiedRelated context

At a glance

Purpose
Future-risk prediction
Population
Adult intensive-care patients without delirium at prediction
Setting
Intensive care
Time
calculated from information available within 24 hours of ICU admission
Items
10
Score or threshold
No universal threshold; calibration and operational thresholds are setting-specific

Evidence

Evidence maturityNo eligible DTA study identified

Reported sensitivity and specificity

not applicable
Sensitivity
not applicable
Specificity

AUROC 0.87 in development, 0.89 in temporal validation and 0.84 in external validation; pooled AUROC 0.85.

More evidence and citation details
Full name
PRE-DELIRIC delirium prediction model
Evidence summary
multicentre-development-temporal-and-external-validation
Citation
van den Boogaard M, Pickkers P, Slooter AJC, 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. PMID 22323509
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Information checked
2026-07-19

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Sources checked 2026-07-29. How profiles are prepared.