Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Clinical Trial
. 2012 Feb 9:344:e420.
doi: 10.1136/bmj.e420.

Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study

Affiliations
Clinical Trial

Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study

M van den Boogaard et al. BMJ. .

Abstract

Objectives: To develop and validate a delirium prediction model for adult intensive care patients and determine its additional value compared with prediction by caregivers.

Design: Observational multicentre study.

Setting: Five intensive care units in the Netherlands (two university hospitals and three university affiliated teaching hospitals).

Participants: 3056 intensive care patients aged 18 years or over.

Main outcome measure: Development of delirium (defined as at least one positive delirium screening) during patients' stay in intensive care.

Results: The model was developed using 1613 consecutive intensive care patients in one hospital and temporally validated using 549 patients from the same hospital. For external validation, data were collected from 894 patients in four other hospitals. The prediction (PRE-DELIRIC) model contains 10 risk factors-age, APACHE-II score, admission group, coma, infection, metabolic acidosis, use of sedatives and morphine, urea concentration, and urgent admission. The model had an area under the receiver operating characteristics curve of 0.87 (95% confidence interval 0.85 to 0.89) and 0.86 after bootstrapping. Temporal validation and external validation resulted in areas under the curve of 0.89 (0.86 to 0.92) and 0.84 (0.82 to 0.87). The pooled area under the receiver operating characteristics curve (n=3056) was 0.85 (0.84 to 0.87). The area under the curve for nurses' and physicians' predictions (n=124) was significantly lower at 0.59 (0.49 to 0.70) for both.

Conclusion: The PRE-DELIRIC model for intensive care patients consists of 10 risk factors that are readily available within 24 hours after intensive care admission and has a high predictive value. Clinical prediction by nurses and physicians performed significantly worse. The model allows for early prediction of delirium and initiation of preventive measures. Trial registration Clinical trials NCT00604773 (development study) and NCT00961389 (validation study).

PubMed Disclaimer

Conflict of interest statement

Competing interests: All authors have completed the Unified Competing Interest form at http://www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Figures

None
Fig 1 Flow chart of development and temporal validation study
None
Fig 2 Area under receiver operating characteristics curve (AUROC) of pooled data for development (AUROC=0.86), temporal validation (AUROC=0.89), and external validation (AUROC=0.84), resulting in AUROC of 0.85. AUROC was 0.59 (95% CI 0.49 to 0.70) for prediction by nurses and 0.59 (0.49 to 0.70) for prediction by physicians
None
Fig 3 Calibration plot of pooled data, with calibration slope of 0.93 and intercept of −0.29

Comment in

Similar articles

Cited by

References

    1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-IV). 4th ed. APA, 1994.
    1. Dubois MJ, Bergeron N, Dumont M, Dial S, Skrobik Y. Delirium in an intensive care unit: a study of risk factors. Intensive Care Med 2001;27:1297-304. - PubMed
    1. Ely EW, Gautam S, Margolin R, Francis J, May L, Speroff T, et al. The impact of delirium in the intensive care unit on hospital length of stay. Intensive Care Med 2001;27:1892-900. - PMC - PubMed
    1. Ouimet S, Kavanagh BP, Gottfried SB, Skrobik Y. Incidence, risk factors and consequences of ICU delirium. Intensive Care Med 2007;33:66-73. - PubMed
    1. Milbrandt EB, Deppen S, Harrison PL, Shintani AK, Speroff T, Stiles RA, et al. Costs associated with delirium in mechanically ventilated patients. Crit Care Med 2004;32:955-62. - PubMed

Associated data