Literature DB >> 27004924

Assessment of inattention in the context of delirium screening: one size does not fit all!

Philippe Voyer1, Nathalie Champoux2, Johanne Desrosiers3, Philippe Landreville4, Johanne Monette5, Maryse Savoie6, Pierre-Hugues Carmichael7, Sylvie Richard7, Annick Bédard7.   

Abstract

BACKGROUND: Despite its high prevalence and deleterious consequences, delirium often goes undetected in older hospitalized patients and long-term care (LTC) residents. Inattention is a core symptom of this syndrome. The aim of this study was to explore the usefulness of ten simple and objective attention tests that would enable efficient delirium screening among this population.
METHODS: This was a secondary analysis (n = 191) of a validation study conducted in one acute care hospital (ACH) and one LTC facility among older adults with, or without, cognitive impairment. The attention test tasks (n = 10) were drawn from the Concentration subscale the Hierarchic Dementia Scale (HDS). Delirium was defined as meeting the criteria for DSM-5 delirium. The Confusion Assessment Method (CAM) was used to determine the presence of delirium symptoms.
RESULTS: The Months of the Year Backward (MOTYB) test, which 57% of participants completed successfully, showed the best balance between sensitivity and specificity (82.6%; 95% CI [61.2-95.0], and 62.5%; 95% CI [54.7-69.8] respectively) for the entire group. Subgroup analyses revealed that no test had both sensitivity and specificity over 50% in participants with cognitive impairment indicated in their medical chart.
CONCLUSIONS: Our results revealed that these tests varied greatly in performance and none can be earmarked to become a single-item screening tool for delirium among older patients and residents with, or without, cognitive impairment. The presence of premorbid cognitive impairment may necessitate more extensive assessments of delirium, especially when a change in general status or mental state is observed.

Entities:  

Keywords:  acute care; attention; cognitive impairment; delirium; elderly; long-term care; screening

Mesh:

Year:  2016        PMID: 27004924     DOI: 10.1017/S1041610216000533

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


  9 in total

1.  Screening and detection of delirium in older ED patients: performance of the modified Confusion Assessment Method for the Emergency Department (mCAM-ED). A two-step tool.

Authors:  Wolfgang Hasemann; Florian F Grossmann; Rahel Stadler; Roland Bingisser; Dieter Breil; Martina Hafner; Reto W Kressig; Christian H Nickel
Journal:  Intern Emerg Med       Date:  2017-12-30       Impact factor: 3.397

Review 2.  Current Challenges in the Recognition and Management of Delirium Superimposed on Dementia.

Authors:  Anita Nitchingham; Gideon A Caplan
Journal:  Neuropsychiatr Dis Treat       Date:  2021-05-05       Impact factor: 2.570

Review 3.  The neuropsychology of delirium: advancing the science of delirium assessment.

Authors:  Zoë Tieges; Jonathan J Evans; Karin J Neufeld; Alasdair M J MacLullich
Journal:  Int J Geriatr Psychiatry       Date:  2017-04-09       Impact factor: 3.485

Review 4.  Comparison of delirium detection tools in acute care : A rapid review.

Authors:  Simone Brefka; Gerhard Wilhelm Eschweiler; Dhayana Dallmeier; Michael Denkinger; Christoph Leinert
Journal:  Z Gerontol Geriatr       Date:  2022-01-14       Impact factor: 1.292

5.  Detecting delirium in nursing home residents using the Informant Assessment of Geriatric Delirium (I-AGeD): a validation pilot study.

Authors:  Pia Urfer Dettwiler; Franziska Zúñiga; Stefanie Bachnick; Beatrice Gehri; Jos F M de Jonghe; Wolfgang Hasemann
Journal:  Eur Geriatr Med       Date:  2022-02-10       Impact factor: 3.269

6.  Factor Analysis of Delirium in Elderly, Using the Korean Version of Delirium Rating Scale-Revised-98.

Authors:  Gahye Noh; Insun Kwon; Miji Lee; So Hyun Ahn; Jeong Lan Kim
Journal:  Psychiatry Investig       Date:  2018-04-05       Impact factor: 2.505

7.  Comparison of novel tools with traditional cognitive tests in detecting delirium in elderly medical patients.

Authors:  David J Meagher; Henry O'Connell; Maeve Leonard; Olugbenga Williams; Fahad Awan; Chris Exton; Michael Tenorio; Margaret O'Connor; Colum P Dunne; Walter Cullen; John McFarland; Dimitrios Adamis
Journal:  World J Psychiatry       Date:  2020-04-19

8.  Performance on bedside tests of attention and organized thinking in patients with dementia free from delirium.

Authors:  Letty Oudewortel; Karlijn J Joling; Cees M P M Hertogh; Viona J M Wijnen; Anne A M van der Brug; Willem A van Gool
Journal:  Int Psychogeriatr       Date:  2018-07-23       Impact factor: 3.878

9.  A smartphone-based test for the assessment of attention deficits in delirium: A case-control diagnostic test accuracy study in older hospitalised patients.

Authors:  Zoë Tieges; David J Stott; Robert Shaw; Elaine Tang; Lisa-Marie Rutter; Eva Nouzova; Nikki Duncan; Caoimhe Clarke; Christopher J Weir; Valentina Assi; Hannah Ensor; Jennifer H Barnett; Jonathan Evans; Samantha Green; Kirsty Hendry; Meigan Thomson; Jenny McKeever; Duncan G Middleton; Stuart Parks; Tim Walsh; Alexander J Weir; Elizabeth Wilson; Tara Quasim; Alasdair M J MacLullich
Journal:  PLoS One       Date:  2020-01-24       Impact factor: 3.240

  9 in total

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