E-PRE-DELIRIC: Early prediction model for delirium in ICU patients
Delirium incidence in intensive care unit (ICU) patients is high and associated with poor outcome. Identification of high-risk patients may facilitate its prevention.
Research authors: A. Wassenaar, M. van den Boogaard, T. van Achterberg, A.J.C. Slooter, M.A. Kuiper, M.E. Hoogendoorn, K.S. Simons, E. Maseda, N. Pinto, C. Jones, A. Luetz, A. Schandl, W. Verbrugghe, L.M. Aitken, F.M.P. van Haren, A.R.T. Donders, L. Schoonhoven, P. Pickkers
Details Custom formula Study characteristics Files & References
Model author
Model ID
Revision date
MeSH terms
  • Delirium
  • Intensive Care Unit
  • Model type
    Logistic regression (Calculation)
    No Formula defined yet
    Condition Formula

    Additional information

    In total, 5352 patients were screened, of whom 2438 patients did not fulfil the inclusion criteria. The cohort consisted of 2914 patients of whom 1962 patients were included in the development dataset. The ICU delirium incidence was 24.5 %. The remaining 952 patients were included in the validation dataset with an ICU delirium incidence of 21.8 %.

    Study Population

    Total population size: 1962
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    Females: {{ model.numberOfFemales }}

    Continuous characteristics

    Name LL Q1 Median Q3 UL Unit
    Age 18 53 61.7 74 95 Years
    LOS-ICU 1 1 2 6 133 Days

    Categorical characteristics

    Name Subset / Group Nr. of patients
    Admission category Surgery 1019
    Medical 683
    Trauma 90
    Neurology/neurosurgery 170
    Urgent admission No 799
    Yes 1163
    Delirium No 1481
    Yes 481

    Related files

    Supporting Publications

    Calculated probability of developing a delirium is:

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    Calculated probability of developing a delirium is:

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    Outcome stratification

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    Conditional information

    Result interpretation

    The E-PRE-DELIRIC model enables the clinician to identify those patients likely to develop delirium following ICU admission using only nine predictors. The model allows early delirium preventive interventions in ICU patients with a high risk of delirium.

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    Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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