Literature DB >> 28173895

Delirium in the intensive care setting: A reevaluation of the validity of the CAM-ICU and ICDSC versus the DSM-IV-TR in determining a diagnosis of delirium as part of the daily clinical routine.

Soenke Boettger1, David Garcia Nuñez1, Rafael Meyer2, André Richter1, Susana Franco Fernandez3, Alain Rudiger3, Maria Schubert4, Josef Jenewein1.   

Abstract

BACKGROUND: In the intensive care setting, delirium is a common occurrence that comes with subsequent adversities. Therefore, several instruments have been developed to screen for and detect delirium. Their validity and psychometric properties, however, remain controversial.
METHOD: In this prospective cohort study, the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and the Intensive Care Delirium Screening Checklist (ICDSC) were evaluated versus the DSM-IV-TR in the diagnosis of delirium with respect to their validity and psychometric properties.
RESULTS: Out of some 289 patients, 210 with matching CAM-ICU, ICDSC, and DSM-IV-TR diagnoses were included. Between the scales, the prevalence of delirium ranged from 23.3% with the CAM-ICU, to 30.5% with the ICDSC, to 43.8% with the DSM-IV-TR criteria. The CAM-ICU showed only moderate concurrent validity (Cohen's κ = 0.44) and sensitivity (50%), but high specificity (95%). The ICDSC also reached moderate agreement (Cohen's κ = 0.60) and sensitivity (63%) while being very specific (95%). Between the CAM-ICU and the ICDSC, the concurrent validity was again only moderate (Cohen's κ = 0.56); however, the ICDSC yielded higher sensitivity and specificity (78 and 83%, respectively). SIGNIFICANCE OF
RESULTS: In the daily clinical routine, neither the CAM-ICU nor the ICDSC, common tools used in screening and detecting delirium in the intensive care setting, reached sufficient concurrent validity; nor did they outperform the DSM-IV-TR diagnostic criteria with respect to sensitivity or positive prediction, but they were very specific. Thus, the non-prediction by the CAM-ICU or ICDSC did not refute the presence of delirium. Between the CAM-ICU and ICDSC, the ICDSC proved to be the more accurate instrument.

Entities:  

Keywords:  Concurrent validity; Confusion Assessment Method for Intensive Care Units (CAM–ICU); DSM–IV–TR; Delirium; Intensive Care Delirium Screening Checklist (ICDSC); Intensive care unit

Mesh:

Year:  2017        PMID: 28173895     DOI: 10.1017/S1478951516001176

Source DB:  PubMed          Journal:  Palliat Support Care        ISSN: 1478-9515


  8 in total

1.  Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data.

Authors:  Anis Davoudi; Ashkan Ebadi; Parisa Rashidi; Tazcan Ozrazgat-Baslanti; Azra Bihorac; Alberto C Bursian
Journal:  Proc IEEE Int Symp Bioinformatics Bioeng       Date:  2018-01-11

Review 2.  The Perioperative Care of Older Patients.

Authors:  Cynthia Olotu; Arved Weimann; Christian Bahrs; Wolfgang Schwenk; Martin Scherer; Rainer Kiefmann
Journal:  Dtsch Arztebl Int       Date:  2019-02-01       Impact factor: 5.594

3.  Altered cortical brain activity in end stage liver disease assessed by multi-channel near-infrared spectroscopy: Associations with delirium.

Authors:  Atsushi Yoshimura; Carrie Goodson; Jordan T Johns; Maxwell M Towe; Esme S Irvine; Nada A Rendradjaja; Laura K Max; Andrew LaFlam; Emily C Ledford; Julia Probert; Zoë Tieges; David H Edwin; Alasdair M J MacLullich; Charles W Hogue; Martin A Lindquist; Ahmet Gurakar; Karin J Neufeld; Atsushi Kamiya
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

4.  Liver Transplant Patients with High Preoperative Serum Bilirubin Levels Are at Increased Risk of Postoperative Delirium: A Retrospective Study.

Authors:  Kyu Hee Park; Hyo Jung Son; Yoon Ji Choi; Gene Hyun Park; Yoon Sook Lee; Ju Yeon Park; Hyun-Su Ri; Jae Ryong Shim
Journal:  J Clin Med       Date:  2020-05-24       Impact factor: 4.241

5.  A hospital-wide evaluation of delirium prevalence and outcomes in acute care patients - a cohort study.

Authors:  Maria Schubert; Roger Schürch; Soenke Boettger; David Garcia Nuñez; Urs Schwarz; Dominique Bettex; Josef Jenewein; Jasmina Bogdanovic; Marina Lynne Staehli; Rebecca Spirig; Alain Rudiger
Journal:  BMC Health Serv Res       Date:  2018-07-13       Impact factor: 2.655

6.  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

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

Authors:  Aileen C Naef; Marie-Madlen Jeitziner; Tobias Nef; Matthias Hänggi; Stephan M Gerber; Béatrice Jenni-Moser; René M Müri; Stephan M Jakob
Journal:  Trials       Date:  2021-03-01       Impact factor: 2.279

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

  8 in total

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