This site became the new on June 19th. Learn more.
Show more Menu IMPORTANT: Listing of a study on this site does not reflect endorsement by the National Institutes of Health. Talk with a trusted healthcare professional before volunteering for a study. Read more... Menu IMPORTANT: Talk with a trusted healthcare professional before volunteering for a study. Read more... Menu
Give us feedback

International Validation of a Delirium Prediction Model for ICU Patients

This study has been completed.
Information provided by (Responsible Party):
Mark van den Boogaard, Radboud University Identifier:
First received: November 26, 2010
Last updated: August 9, 2012
Last verified: August 2012
Recently our ICU research group developed and validated a delirium prediction model in the NetherlandsThis. This model has a high predictive value. We want to examine what the predictive value is in ICUs of other European countries.


Study Type: Observational
Study Design: Observational Model: Cohort
Time Perspective: Prospective
Official Title: International Validation of a Delirium Prediction Model for ICU Patients (PRE-DELIRIC) in ICUs; a Multicentre Trial.

Resource links provided by NLM:

Further study details as provided by Mark van den Boogaard, Radboud University:

Primary Outcome Measures:
  • delirium [ Time Frame: during admission at the critical care ]
    Delirium is defined as at minimum one positive CAM-ICU screening during the complete ICU stay

Enrollment: 2000
Study Start Date: November 2011
Study Completion Date: August 2012
Primary Completion Date: June 2012 (Final data collection date for primary outcome measure)
delirious patients
The cohort is divided in delirious and non-delirious patients

Detailed Description:
Delirium is a serious and common disorder in ICU patients. It is increasingly recognized that screening of ICU patients is a valuable tool for early detection and treatment of delirium, which may reduce its incidence, severity and duration. Apart from treatment of delirium, delirium prevention (pharmacological and nursing interventions)is an important issue. However, it is time consuming to take preventive measures in all ICU patients. The recently developed prediction model facilitates the conduct of preventive measures focused on high risk groups. This prediction model is developed and validated in the Netherlands. The aim of our study is to investigate the predictive value of the model in ICUs in other countries.

Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Adult patients admitted to the ICU

Inclusion Criteria:

  • patients 18 years or older

Exclusion Criteria:

  • delirious state within the first 24hours after ICU admission
  • sustained comatose during complete ICU stay
  • admission duration less than twelve hours;
  • serious auditory or visual disorders
  • unable to understand the language of the included centre
  • severely mentally disabled
  • serious receptive aphasia
  • or if there are missing or incomplete delirium screenings during admission to the ICU
  Contacts and Locations
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the Contacts provided below. For general information, see Learn About Clinical Studies.

Please refer to this study by its identifier: NCT01249755

Sponsors and Collaborators
Radboud University
Principal Investigator: Mark van den Boogaard, MSc Radboud University
  More Information

Responsible Party: Mark van den Boogaard, PhD, Radboud University Identifier: NCT01249755     History of Changes
Other Study ID Numbers: 20110901
Study First Received: November 26, 2010
Last Updated: August 9, 2012

Additional relevant MeSH terms:
Neurobehavioral Manifestations
Neurologic Manifestations
Nervous System Diseases
Signs and Symptoms
Neurocognitive Disorders
Mental Disorders processed this record on August 18, 2017