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Multinational development and validation of an early prediction model for delirium in ICU patients

Multinational development and validation of an early prediction model for delirium in ICU patients
Multinational development and validation of an early prediction model for delirium in ICU patients
RATIONALE: Delirium incidence in intensive care unit (ICU) patients is high and associated with poor outcome. Identification of high-risk patients may facilitate its prevention.

PURPOSE: To develop and validate a model based on data available at ICU admission to predict delirium development during a patient's complete ICU stay and to determine the predictive value of this model in relation to the time of delirium development.

METHODS: Prospective cohort study in 13 ICUs from seven countries. Multiple logistic regression analysis was used to develop the early prediction (E-PRE-DELIRIC) model on data of the first two-thirds and validated on data of the last one-third of the patients from every participating ICU.

RESULTS: In total, 2914 patients were included. Delirium incidence was 23.6%. The E-PRE-DELIRIC model consists of nine predictors assessed at ICU admission: age, history of cognitive impairment, history of alcohol abuse, blood urea nitrogen, admission category, urgent admission, mean arterial blood pressure, use of corticosteroids, and respiratory failure. The area under the receiver operating characteristic curve (AUROC) was 0.76 [95% confidence interval (CI) 0.73-0.77] in the development dataset and 0.75 (95% CI 0.71-0.79) in the validation dataset. The model was well calibrated. AUROC increased from 0.70 (95% CI 0.67-0.74), for delirium that developed <2 days, to 0.81 (95% CI 0.78-0.84), for delirium that developed >6 days.

CONCLUSION: Patients' delirium risk for the complete ICU length of stay can be predicted at admission using the E-PRE-DELIRIC model, allowing early preventive interventions aimed to reduce incidence and severity of ICU delirium.
intensive care unit, delirium, clinical prediction adult
0342-4642
1048-1056
Wassenaar, A.
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van den Boogaard, M.
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van Achterberg, T.
1b413585-49b3-4989-a1b6-7fb4d4bac453
Slooter, A.J.
aebd7da7-b349-4267-8a72-cf116573d6d9
Kuiper, M.A.
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Hoogendoorn, M.E.
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Simons, K.S.
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Maseda, E.
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Pinto, N.
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Jones, C.
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Luetz, A.
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Schandl, A.
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Verbrugghe, W.
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Aitken, L.M.
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van Haren, F.M.
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Donders, A.R.
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Schoonhoven, Lisette
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Pickkers, P.
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Wassenaar, A.
33d05890-f5d7-4530-9d60-dc7287e55258
van den Boogaard, M.
957b111a-8c54-4cd1-87ff-c8852198eacd
van Achterberg, T.
1b413585-49b3-4989-a1b6-7fb4d4bac453
Slooter, A.J.
aebd7da7-b349-4267-8a72-cf116573d6d9
Kuiper, M.A.
7ed239a7-ae44-426b-b6f4-f5d1f3728b27
Hoogendoorn, M.E.
8d4b17c5-75a1-4e4e-9bed-cdff6fb7cc1d
Simons, K.S.
01d2fdf5-572e-4df9-8774-5f719f1a7c01
Maseda, E.
7157ad52-f0f5-4455-bdf7-783c81a537e1
Pinto, N.
06abf5ee-93a7-4498-8ec3-1b75acb7a013
Jones, C.
efc76da3-efd7-43ed-89c3-bf4c9a7951a7
Luetz, A.
925da3f5-6d68-415f-87c4-b2b4b3cfdae2
Schandl, A.
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Verbrugghe, W.
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Aitken, L.M.
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van Haren, F.M.
caf02aa8-1b94-47fc-aa20-55dc1191c435
Donders, A.R.
9a76593f-eb76-46d8-a52c-9514c403bf71
Schoonhoven, Lisette
46a2705b-c657-409b-b9da-329d5b1b02de
Pickkers, P.
8fa9ec7b-278d-4fd1-9f98-1dca3d54fbf4

Wassenaar, A., van den Boogaard, M., van Achterberg, T., Slooter, A.J., Kuiper, M.A., Hoogendoorn, M.E., Simons, K.S., Maseda, E., Pinto, N., Jones, C., Luetz, A., Schandl, A., Verbrugghe, W., Aitken, L.M., van Haren, F.M., Donders, A.R., Schoonhoven, Lisette and Pickkers, P. (2015) Multinational development and validation of an early prediction model for delirium in ICU patients. Intensive Care Medicine, 41 (6), 1048-1056. (doi:10.1007/s00134-015-3777-2). (PMID:25894620)

Record type: Article

Abstract

RATIONALE: Delirium incidence in intensive care unit (ICU) patients is high and associated with poor outcome. Identification of high-risk patients may facilitate its prevention.

PURPOSE: To develop and validate a model based on data available at ICU admission to predict delirium development during a patient's complete ICU stay and to determine the predictive value of this model in relation to the time of delirium development.

METHODS: Prospective cohort study in 13 ICUs from seven countries. Multiple logistic regression analysis was used to develop the early prediction (E-PRE-DELIRIC) model on data of the first two-thirds and validated on data of the last one-third of the patients from every participating ICU.

RESULTS: In total, 2914 patients were included. Delirium incidence was 23.6%. The E-PRE-DELIRIC model consists of nine predictors assessed at ICU admission: age, history of cognitive impairment, history of alcohol abuse, blood urea nitrogen, admission category, urgent admission, mean arterial blood pressure, use of corticosteroids, and respiratory failure. The area under the receiver operating characteristic curve (AUROC) was 0.76 [95% confidence interval (CI) 0.73-0.77] in the development dataset and 0.75 (95% CI 0.71-0.79) in the validation dataset. The model was well calibrated. AUROC increased from 0.70 (95% CI 0.67-0.74), for delirium that developed <2 days, to 0.81 (95% CI 0.78-0.84), for delirium that developed >6 days.

CONCLUSION: Patients' delirium risk for the complete ICU length of stay can be predicted at admission using the E-PRE-DELIRIC model, allowing early preventive interventions aimed to reduce incidence and severity of ICU delirium.

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Accepted/In Press date: 25 March 2015
e-pub ahead of print date: 18 April 2015
Published date: June 2015
Keywords: intensive care unit, delirium, clinical prediction adult
Organisations: Faculty of Health Sciences

Identifiers

Local EPrints ID: 380940
URI: http://eprints.soton.ac.uk/id/eprint/380940
ISSN: 0342-4642
PURE UUID: 8b3c4071-a5ef-4f79-b7ff-a0fb8ab18530
ORCID for Lisette Schoonhoven: ORCID iD orcid.org/0000-0002-7129-3766

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Date deposited: 21 Sep 2015 13:01
Last modified: 15 Mar 2024 03:41

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Contributors

Author: A. Wassenaar
Author: M. van den Boogaard
Author: T. van Achterberg
Author: A.J. Slooter
Author: M.A. Kuiper
Author: M.E. Hoogendoorn
Author: K.S. Simons
Author: E. Maseda
Author: N. Pinto
Author: C. Jones
Author: A. Luetz
Author: A. Schandl
Author: W. Verbrugghe
Author: L.M. Aitken
Author: F.M. van Haren
Author: A.R. Donders
Author: P. Pickkers

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