Literature DB >> 29537480

Screening for delirium with the Intensive Care Delirium Screening Checklist (ICDSC): a re-evaluation of the threshold for delirium.

Soenke Boettger1, David Garcia Nuñez2, Rafael Meyer3, Andre Richter1, Alain Rudiger4, Maria Schubert5, Josef Jenewein1.   

Abstract

BACKGROUND: With its high incidence and subsequent adverse consequences in the intensive care setting, several instruments have been developed to screen for and detect delirium. One of the more commonly used is the Intensive Care Delirium Screening Checklist (ICDSC); however, the optimal cut-off score indicating delirium has been debated.
METHODS: In this prospective cohort study, the ICDSC threshold for delirium set at ≥3, ≥4, or ≥5 was compared with the DSM-IV-TR-determined diagnosis of delirium (used as standard), and with the Confusion Assessment Method for the ICU (CAM-ICU), with respect to their concurrent validity.
RESULTS: In total, 289 patients were assessed, including 122 with delirium. The cut-off score of ≥4 had several shortcomings: although 90% of patients with delirium were correctly classified, 23% remained undetected. The agreement with the DSM-IV-TR diagnosis of delirium was only moderate (Cohen's κ 0.59) and the sensitivity was only 62%. In contrast, when the cut-off was ≥3, 83% of patients with delirium were correctly classified and only 14.5% remained undetected. The agreement with DSM-IV-TR was substantial (Cohen's κ 0.68) and the sensitivity increased to 83%. The benefit of setting the cut-off at ≥5 was not convincing: although 90% of patients with delirium were correctly classified, 30% remained undetected. The concurrent validity was only moderate (Cohen's κ 0.44), and the sensitivity reached only 44%. Changing the ICDSC cut-off score did not strengthen the moderate agreement with the CAM-ICU (Cohen's κ 0.45-0.56).
CONCLUSION: In clinical routine, decreasing the ICDSC threshold for delirium to ≥3 increased the accuracy in detecting delirium at the cost of over-identification and is therefore recommended as the optimal threshold. Increasing the cut-off score to ≥5 decreased the concurrent validity and sensitivity; in addition, the under-detection of delirium was substantial.

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Year:  2018        PMID: 29537480     DOI: 10.4414/smw.2018.14597

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  10 in total

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2.  Study protocol for a prospective randomised double-blind placebo-controlled clinical trial investigating a Better Outcome with Melatonin compared to Placebo Administered to normalize sleep-wake cycle and treat hypoactive ICU Delirium: the Basel BOMP-AID study.

Authors:  Alexa Hollinger; Stefanie von Felten; Raoul Sutter; Jan Huber; Fabian Tran; Simona Reinhold; Salim Abdelhamid; Atanas Todorov; Caroline Eva Gebhard; Christian Cajochen; Luzius A Steiner; Martin Siegemund
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3.  Influence of Sedation Level and Ventilation Status on the Diagnostic Validity of Delirium Screening Tools in the ICU-An International, Prospective, Bi-Center Observational Study (IDeAS).

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Journal:  Medicina (Kaunas)       Date:  2020-08-13       Impact factor: 2.430

4.  Psychometric properties of the intensive care delirium screening checklist when used by bedside nurses in clinical practice: a prospective descriptive study.

Authors:  Elke Detroyer; Annick Timmermans; Dana Segers; Geert Meyfroidt; Jasperina Dubois; Aimé Van Assche; Etienne Joosten; Koen Milisen
Journal:  BMC Nurs       Date:  2020-04-10

5.  Incidence and Risk Factors of Delirium in the Intensive Care Unit: A Prospective Cohort.

Authors:  Farshid Rahimi-Bashar; Ghazal Abolhasani; Nahid Manouchehrian; Nasrin Jiryaee; Amir Vahedian-Azimi; Amirhossein Sahebkar
Journal:  Biomed Res Int       Date:  2021-01-08       Impact factor: 3.411

6.  Virtual reality stimulation to reduce the incidence of delirium in critically ill patients: study protocol for a randomized clinical trial.

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7.  Incidence and Risk Factors of Ventilator-Associated Pneumonia among Patients with Delirium in the Intensive Care Unit: A Prospective Observational Study.

Authors:  Morteza Shamsizadeh; Ali Fathi Jouzdani; Farshid Rahimi-Bashar
Journal:  Crit Care Res Pract       Date:  2022-01-13

8.  Outcome, demography and resource utilization in ICU Patients with delirium and malignancy.

Authors:  Mattia Sieber; Alain Rudiger; Maria Schubert; Dominique Bettex; Reto Schüpbach; Bernard Krüger
Journal:  Sci Rep       Date:  2021-09-21       Impact factor: 4.379

9.  Commentary: Sometimes it helps to take a closer look.

Authors:  Jacquelyn Quin
Journal:  JTCVS Open       Date:  2022-04-19

10.  Derivation and validation of a novel comorbidity-based delirium risk index to predict postoperative delirium using national administrative healthcare database.

Authors:  Xiaobo Zhong; Jung-Yi Lin; Lihua Li; A M Barrett; Jashvant Poeran; Madhu Mazumdar
Journal:  Health Serv Res       Date:  2020-10-06       Impact factor: 3.734

  10 in total

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