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DElirium prediCtIon in the intenSIve Care Unit: Head to Head comparisON of Two Delirium Prediction Models — DECISION  

Delirium Clinical Trial

Official title:
DElirium prediCtIon in the intenSIve Care Unit: Head to Head comparisON of Two Delirium Prediction Models

Clinical Trial Summary

Currently, two ICU delirium prediction models are available: the PRE-DELIRIC model and the early prediction model (E-PRE-DELRIC). However, the use of these prediction models is not yet implemented as standard in clinical practice, as it is unknown which delirium prediction model can best be used to predict delirium in ICU patients.Therefore the main aim of this study is to compare the performance of the PRE-DELIRIC model and the E-PRE-DELRIC model.

Clinical Trial Description

Delirium often occurs in ICU patients and is associated with negative consequences, requiring prevention. A prediction model facilitates the identification of those patients at risk for delirium and therefore need prevention the most. At present, two ICU delirium prediction models are available. First the PRE-DELIRIC model was developed. This recently recalibrated model reliably predicts ICU patients' risk for delirium within 24 hours after ICU admission. Because a relevant number of patients develops delirium during the first 24 hours after ICU admission, and prevention ideally should be deployed as soon as possible, the investigators developed the 'early prediction model' (E-PRE-DELIRIC) which reliably predicts delirium immediately after ICU admission. To implement a delirium prediction model in clinical practice, one needs to know which model best can be used. Currently, the use of a delirium prediction model is not implemented as standard in clinical practice, as this information is unavailable. Therefore the main aim of this study is to compare the (predictive and clinical) performance of the PRE-DELIRIC model and the E-PRE-DELRIC model. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT02518646
Study type Observational
Source Radboud University
Contact
Status Completed
Phase N/A
Start date September 2015
Completion date December 2016
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