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dc.contributor.authorWassenaar, A
dc.contributor.authorvan den Boogaard, M
dc.contributor.authorvan Achterberg, T
dc.contributor.authorSlooter, AJC
dc.contributor.authorKuiper, MA
dc.contributor.authorHoogendoorn, ME
dc.contributor.authorSimons, KS
dc.contributor.authorMaseda, E
dc.contributor.authorPinto, N
dc.contributor.authorJones, C
dc.contributor.authorLuetz, A
dc.contributor.authorSchandl, A
dc.contributor.authorVerbrugghe, W
dc.contributor.authorAitken, LM
dc.contributor.authorvan Haren, FMP
dc.contributor.authorDonders, ART
dc.contributor.authorSchoonhoven, L
dc.contributor.authorPickkers, P
dc.date.accessioned2017-05-03T12:36:37Z
dc.date.available2017-05-03T12:36:37Z
dc.date.issued2015
dc.identifier.issn0342-4642
dc.identifier.doi10.1007/s00134-015-3777-2
dc.identifier.urihttp://hdl.handle.net/10072/101098
dc.description.abstractRationale: 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofpagefrom1048
dc.relation.ispartofpageto1056
dc.relation.ispartofissue6
dc.relation.ispartofjournalIntensive Care Medicine
dc.relation.ispartofvolume41
dc.subject.fieldofresearchClinical sciences
dc.subject.fieldofresearchClinical sciences not elsewhere classified
dc.subject.fieldofresearchcode3202
dc.subject.fieldofresearchcode320299
dc.titleMultinational development and validation of an early prediction model for delirium in ICU patients
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc/4.0/
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2015. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
gro.hasfulltextFull Text
gro.griffith.authorAitken, Leanne M.


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