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External Validation of Delirium Prediction Models for Intensive Care Patients

NCT05084482 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 660

Last updated 2025-04-08

No results posted yet for this study

Summary

Delirium is frequently observed among critically ill patients and is associated with detrimental outcomes. Currently, no evidence-based prevention or treatment exists for delirium, and especially, the inability to identify effective preventive measures of delirium has increased the focus on identifying patients with a high risk of delirium through prediction models. Two prediction models have been developed to estimate the risk of delirium in ICU patients: the prediction model for delirium (PRE-DELIRIC) and the early prediction model for delirium (E-PRE-DELIRIC). These robust and well-calibrated prediction models have the potential of assisting in identifying patients with the highest risk for delirium and thereby to focusing preventive strategies on the most vulnerable group. However further validation is needed in a Danish population.

Conditions

  • Delirium

Interventions

OTHER

Prediction models

The prediction scores are validated by the CAM-ICU scores up to 14 days after ICU admission.

Sponsors & Collaborators

  • Zealand University Hospital

    lead OTHER

Principal Investigators

  • Neeliya Anton Joseph, BSc Medicine · Department of Anaesthesiology, Zealand University Hospital, Køge, Denmark

Eligibility

Min Age
18 Years
Max Age
110 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-01
Primary Completion
2023-07-31
Completion
2023-09-30

Countries

  • Denmark

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05084482 on ClinicalTrials.gov