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Comment
. 2020 Mar 30;24(1):123.
doi: 10.1186/s13054-020-2838-2.

Evaluation of the E-PRE-DELIRIC prediction model for ICU delirium: a retrospective validation in a UK general ICU

Sarah L Cowan  1 , Jacobus Preller  1 , Robert J B Goudie  2
Affiliations
Comment

Evaluation of the E-PRE-DELIRIC prediction model for ICU delirium: a retrospective validation in a UK general ICU

Sarah L Cowan et al. Crit Care. .
No abstract available

Keywords: Clinical scoring systems; Critical care; Delirium; Intensive care; Prediction model; Validation.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
a Histogram of predicted risk of delirium by delirium status. b Receiver operator characteristic plot, with labels indicating the corresponding threshold and the dashed line indicating the line of no discrimination. c Precision-recall plot, with the 43.7% observed incidence indicated by the dashed line. d Calibration plot (with 95% CI), by tenths of predicted risk, with the dashed line indicating perfect calibration
See this image and copyright information in PMC

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References

    1. Wassenaar A, van den Boogaard M, van Achterberg T, Slooter AJC, Kuiper MA, Hoogendoorn ME, et al. Multinational development and validation of an early prediction model for delirium in ICU patients. Intensive Care Med. 2015;41:1048–1056. doi: 10.1007/s00134-015-3777-2. - DOI - PMC - PubMed
    1. Wassenaar A, Schoonhoven L, Devlin JW, van Haren FMP, Slooter AJC, Jorens PG, et al. Delirium prediction in the intensive care unit: comparison of two delirium prediction models. Crit Care. 2018;22:114. doi: 10.1186/s13054-018-2037-6. - DOI - PMC - PubMed
    1. Wassenaar A, Schoonhoven L, Devlin JW, van Haren FMP, Slooter AJC, Jorens PG, et al. External validation of two models to predict delirium in critically ill adults using either the Confusion Assessment Method-ICU or the Intensive Care Delirium Screening Checklist for delirium assessment. Crit Care Med. 2019;47:e827–e835. doi: 10.1097/CCM.0000000000003911. - DOI - PubMed
    1. Green C, Bonavia W, Toh C, Tiruvoipati R. Prediction of ICU delirium: Validation of current delirium predictive models in routine clinical practice. Crit Care Med. 2019;47:428–35. - PubMed
    1. Ely EW, Margolin R, Francis J, May L, Truman B, Dittus R, et al. Evaluation of delirium in critically ill patients: validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) Crit Care Med. 2001;29:1370–1379. doi: 10.1097/00003246-200107000-00012. - DOI - PubMed

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