Literature DB >> 22610196

Delirium screening in critically ill patients: a systematic review and meta-analysis.

Ary Serpa Neto1, Antônio P Nassar, Sérgio O Cardoso, José A Manetta, Victor G M Pereira, Daniel C Espósito, Maria C T Damasceno, Arjen J Slooter.   

Abstract

OBJECTIVE: Despite its frequency and impact, delirium in critically ill patients is poorly recognized. Our aim was to systematically review the accuracy of delirium screening instruments in critically ill patients. DATA SOURCE: Systematic review and meta-analysis of publications between 1966 and 2011. The Medline and Embase databases were searched for studies on delirium in critically ill patients. STUDY SELECTION: The meta-analysis was limited to studies in critically ill patients in intensive care units, surgical wards, or emergency rooms. The delirium screening tool had to be feasible in a clinical setting for use by a nonexpert. As the gold standard, delirium had to be diagnosed based on appropriate criteria by a delirium expert. DATA EXTRACTION: The outcomes assessed were sensitivity, specificity, likelihood ratios, and summary receiver operating characteristics curves. DATA SYNTHESIS: Sixteen studies covering 1,523 participants and five screening tools were included in the systematic review. The pooled sensitivities and specificities of Confusion Assessment Method for the Intensive Care Unit for detection of delirium in critically ill patients were 75.5% and 95.8%, and for Intensive Care Delirium Screening Checklist 80.1% and 74.6%, respectively. All but one study was performed in a research setting, and that one study suggested that with routine use of the Confusion Assessment Method for the Intensive Care Unit, half of the patients with delirium were not detected.
CONCLUSIONS: The Confusion Assessment Method for the Intensive Care Unit was the most specific bedside tool for the assessment of delirium in critically ill patients. However, there was significant heterogeneity of the results. These findings were largely obtained in research settings, and the low sensitivity of the Confusion Assessment Method for the Intensive Care Unit in routine, daily practice may limit its use as a screening test.

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Year:  2012        PMID: 22610196     DOI: 10.1097/CCM.0b013e31824e16c9

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  41 in total

1.  Evaluation of two delirium screening tools for detecting post-operative delirium in the elderly.

Authors:  K J Neufeld; J S Leoutsakos; F E Sieber; D Joshi; B L Wanamaker; J Rios-Robles; D M Needham
Journal:  Br J Anaesth       Date:  2013-05-08       Impact factor: 9.166

2.  Overview of progresses in critical care medicine 2012.

Authors:  Wei Huang; Xianyao Wan
Journal:  J Thorac Dis       Date:  2013-04       Impact factor: 2.895

Review 3.  Delirium in critically ill patients: epidemiology, pathophysiology, diagnosis and management.

Authors:  Irene J Zaal; Arjen J C Slooter
Journal:  Drugs       Date:  2012-07-30       Impact factor: 9.546

4.  Frequency and predictors of post-stroke delirium in PRospective Observational POLIsh Study (PROPOLIS).

Authors:  P Pasinska; K Kowalska; E Klimiec; A Szyper-Maciejowska; A Wilk; A Klimkowicz-Mrowiec
Journal:  J Neurol       Date:  2018-02-08       Impact factor: 4.849

Review 5.  The role of occupational and physiotherapy in multi-modal approach to tackling delirium in the intensive care.

Authors:  Jenny Rains; Nigel Chee
Journal:  J Intensive Care Soc       Date:  2017-07-18

6.  Analgesia, sedation and arousal status in burn patients: the gap between recommendations and current practices.

Authors:  A Lavrentieva; N Depetris; I Rodini
Journal:  Ann Burns Fire Disasters       Date:  2017-06-30

7.  Shock Management for Cardio-surgical Intensive Care Unit Patient: The Silver Days.

Authors:  Till Hauffe; Bernard Krüger; Dominique Bettex; Alain Rudiger
Journal:  Card Fail Rev       Date:  2016-05

8.  Delirium Monitoring in Neurocritically Ill Patients: A Systematic Review.

Authors:  Mayur B Patel; Josef Bednarik; Patricia Lee; Yahya Shehabi; Jorge I Salluh; Arjen J Slooter; Kate E Klein; Yoanna Skrobik; Alessandro Morandi; Peter E Spronk; Andrew M Naidech; Brenda T Pun; Fernando A Bozza; Annachiara Marra; Sayona John; Pratik P Pandharipande; E Wesley Ely
Journal:  Crit Care Med       Date:  2018-11       Impact factor: 7.598

9.  A quality improvement program to increase nurses’ detection of delirium on an acute medical unit.

Authors:  Laurence M Solberg; Carrie E Plummer; Kanah N May; Lorraine C Mion
Journal:  Geriatr Nurs       Date:  2013 Jan-Feb       Impact factor: 2.361

Review 10.  Epidemiology and risk factors for delirium across hospital settings.

Authors:  Eduard E Vasilevskis; Jin H Han; Christopher G Hughes; E Wesley Ely
Journal:  Best Pract Res Clin Anaesthesiol       Date:  2012-09
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