Literature DB >> 22001583

Poststroke delirium incidence and outcomes: validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).

Adela Mitasova1, Milena Kostalova, Josef Bednarik, Radka Michalcakova, Tomas Kasparek, Petra Balabanova, Ladislav Dusek, Stanislav Vohanka, E Wesley Ely.   

Abstract

OBJECTIVE: To describe the epidemiology and time spectrum of delirium using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria and to validate a tool for delirium assessment in patients in the acute poststroke period.
DESIGN: A prospective observational cohort study.
SETTING: The stroke unit of a university hospital. PATIENTS: A consecutive series of 129 patients with stroke (with infarction or intracerebral hemorrhage, 57 women and 72 men; mean age, 72.5 yrs; age range, 35-93 yrs) admitted to the stroke unit of a university hospital were evaluated for delirium incidence.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Criterion validity and overall accuracy of the Czech version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) were determined using serial daily delirium assessments with CAM-ICU by a junior physician compared with delirium diagnosis by delirium experts using the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria that began the first day after stroke onset and continued for at least 7 days. Cox regression models using time-dependent covariate analysis adjusting for age, gender, prestroke dementia, National Institutes of Stroke Health Care at admission, first-day Sequential Organ Failure Assessment, and asphasia were used to understand the relationships between delirium and clinical outcomes. An episode of delirium based on reference Diagnostic and Statistical Manual assessment was detected in 55 patients with stroke (42.6%). In 37 of these (67.3%), delirium began within the first day and in all of them within 5 days of stroke onset. A total of 1003 paired CAM-ICU/Diagnostic and Statistical Manual of Mental Disorders daily assessments were completed. Compared with the reference standard for diagnosing delirium, the CAM-ICU demonstrated a sensitivity of 76% (95% confidence interval [CI] 55% to 91%), a specificity of 98% (95% CI 93% to 100%), an overall accuracy of 94% (95% CI 88% to 97%), and high interrater reliability (κ = 0.94; 95% CI 0.83-1.0). The likelihood ratio of the CAM-ICU in the diagnosis of delirium was 47 (95% CI 27-83). Delirium was an independent predictor of increased length of hospital stay (hazard ratio 1.63; 95% CI 1.11-2.38; p = .013).
CONCLUSIONS: Poststroke delirium may frequently be detected provided that the testing algorithm is appropriate to the time profile of poststroke delirium. Early (first day after stroke onset) and serial screening for delirium is recommended. CAM-ICU is a valid instrument for the diagnosis of delirium and should be considered an aid in delirium screening and assessment in future epidemiologic and interventional studies in patients with stroke.

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Year:  2012        PMID: 22001583     DOI: 10.1097/CCM.0b013e318232da12

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


  45 in total

1.  The association between acute respiratory distress syndrome, delirium, and in-hospital mortality in intensive care unit patients.

Authors:  S Jean Hsieh; Graciela J Soto; Aluko A Hope; Ana Ponea; Michelle N Gong
Journal:  Am J Respir Crit Care Med       Date:  2015-01-01       Impact factor: 21.405

Review 2.  [Delirium in stroke patients : Critical analysis of statistical procedures for the identification of risk factors].

Authors:  P Nydahl; N G Margraf; A Ewers
Journal:  Med Klin Intensivmed Notfmed       Date:  2017-01-31       Impact factor: 0.840

Review 3.  The intensive care delirium research agenda: a multinational, interprofessional perspective.

Authors:  Pratik P Pandharipande; E Wesley Ely; Rakesh C Arora; Michele C Balas; Malaz A Boustani; Gabriel Heras La Calle; Colm Cunningham; John W Devlin; Julius Elefante; Jin H Han; Alasdair M MacLullich; José R Maldonado; Alessandro Morandi; Dale M Needham; Valerie J Page; Louise Rose; Jorge I F Salluh; Tarek Sharshar; Yahya Shehabi; Yoanna Skrobik; Arjen J C Slooter; Heidi A B Smith
Journal:  Intensive Care Med       Date:  2017-06-13       Impact factor: 17.440

Review 4.  The ABCDEF Bundle in Critical Care.

Authors:  Annachiara Marra; E Wesley Ely; Pratik P Pandharipande; Mayur B Patel
Journal:  Crit Care Clin       Date:  2017-04       Impact factor: 3.598

5.  Validation of the Confusion Assessment Method for the Intensive Care Unit in older emergency department patients.

Authors:  Jin H Han; Amanda Wilson; Amy J Graves; Ayumi Shintani; John F Schnelle; Robert S Dittus; James S Powers; John Vernon; Alan B Storrow; E Wesley Ely
Journal:  Acad Emerg Med       Date:  2014-02       Impact factor: 3.451

6.  Biomarkers of Delirium Duration and Delirium Severity in the ICU.

Authors:  Babar A Khan; Anthony J Perkins; Nagendra K Prasad; Anantha Shekhar; Noll L Campbell; Sujuan Gao; Sophia Wang; Sikandar H Khan; Edward R Marcantonio; Homer L Twigg; Malaz A Boustani
Journal:  Crit Care Med       Date:  2020-03       Impact factor: 7.598

7.  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 8.  Intensive Care Unit Delirium and Intensive Care Unit-Related Posttraumatic Stress Disorder.

Authors:  Annachiara Marra; Pratik P Pandharipande; Mayur B Patel
Journal:  Surg Clin North Am       Date:  2017-10-05       Impact factor: 2.741

9.  Agitation, Delirium, and Cognitive Outcomes in Intracerebral Hemorrhage.

Authors:  Lisa J Rosenthal; Brandon A Francis; Jennifer L Beaumont; David Cella; Michael D Berman; Matthew B Maas; Eric M Liotta; Robert Askew; Andrew M Naidech
Journal:  Psychosomatics       Date:  2016-08-05       Impact factor: 2.386

10.  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

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