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

Assessment Attention Delirium Dementia Letter and Shape Drawing test Lighthouse test Phenomenology Vigilance Visuospatial function

Journal

World journal of psychiatry
ISSN: 2220-3206
Titre abrégé: World J Psychiatry
Pays: United States
ID NLM: 101610480

Informations de publication

Date de publication:
19 Apr 2020
Historique:
received: 02 10 2019
revised: 17 01 2020
accepted: 04 03 2020
entrez: 14 5 2020
pubmed: 14 5 2020
medline: 14 5 2020
Statut: epublish

Résumé

Efficient detection of delirium and comorbid delirium-dementia is a key diagnostic challenge. Development of new, efficient delirium-focused methods of cognitive assessment is a key challenge for improved detection of neurocognitive disorders in everyday clinical practice. To compare the accuracy of two novel bedside tests of attention, vigilance and visuospatial function with conventional bedside cognitive tests in identifying delirium in older hospitalized patients. 180 consecutive elderly medical inpatients (mean age 79.6 ± 7.2; 51% female) referred to a psychiatry for later life consultation-liaison service with delirium, dementia, comorbid delirium-dementia and cognitively intact controls. Participants were assessed cross-sectionally with conventional bedside cognitive tests [WORLD, Months Backward test (MBT), Spatial span, Vigilance A and B, Clock Drawing test and Interlocking Pentagons test] and two novel cognitive tests [Lighthouse test, Letter and Shape Drawing test (LSD)-4]. Neurocognitive diagnoses were delirium ( Bedside tests of attention, vigilance and visuospatial ability can help to distinguish neurocognitive disorders, including delirium, from other presentations. The Lighthouse test and the LSD-4 are novel tests with high accuracy for detecting delirium.

Sections du résumé

BACKGROUND BACKGROUND
Efficient detection of delirium and comorbid delirium-dementia is a key diagnostic challenge. Development of new, efficient delirium-focused methods of cognitive assessment is a key challenge for improved detection of neurocognitive disorders in everyday clinical practice.
AIM OBJECTIVE
To compare the accuracy of two novel bedside tests of attention, vigilance and visuospatial function with conventional bedside cognitive tests in identifying delirium in older hospitalized patients.
METHODS METHODS
180 consecutive elderly medical inpatients (mean age 79.6 ± 7.2; 51% female) referred to a psychiatry for later life consultation-liaison service with delirium, dementia, comorbid delirium-dementia and cognitively intact controls. Participants were assessed cross-sectionally with conventional bedside cognitive tests [WORLD, Months Backward test (MBT), Spatial span, Vigilance A and B, Clock Drawing test and Interlocking Pentagons test] and two novel cognitive tests [Lighthouse test, Letter and Shape Drawing test (LSD)-4].
RESULTS RESULTS
Neurocognitive diagnoses were delirium (
CONCLUSION CONCLUSIONS
Bedside tests of attention, vigilance and visuospatial ability can help to distinguish neurocognitive disorders, including delirium, from other presentations. The Lighthouse test and the LSD-4 are novel tests with high accuracy for detecting delirium.

Identifiants

pubmed: 32399398
doi: 10.5498/wjp.v10.i4.46
pmc: PMC7203081
doi:

Types de publication

Journal Article

Langues

eng

Pagination

46-58

Informations de copyright

©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict-of-interest statement: The authors have no conflicts of interest to declare.

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Auteurs

David J Meagher (DJ)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland. david.meagher@ul.ie.

Henry O'Connell (H)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Maeve Leonard (M)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Olugbenga Williams (O)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Fahad Awan (F)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Chris Exton (C)

Department of Computer Sciences, University of Limerick, Limerick V94 YVHO, Ireland.

Michael Tenorio (M)

Department of Computer Sciences, University of Limerick, Limerick V94 YVHO, Ireland.

Margaret O'Connor (M)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Colum P Dunne (CP)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Walter Cullen (W)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

John McFarland (J)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Dimitrios Adamis (D)

Cognitive Impairment Research Group, Graduate Entry Medical School, University of Limerick, Limerick V94 YVHO, Ireland.

Classifications MeSH