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Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol

BACKGROUND: Delirium is a common and serious clinical syndrome which is often missed in routine clinical care. The core cognitive feature is inattention. We developed a novel bedside neuropsychological test for assessing inattention in delirium implemented on a smartphone platform (DelApp). We aim t...

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Autores principales: Rutter, Lisa-Marie, Nouzova, Eva, Stott, David J., Weir, Christopher J., Assi, Valentina, Barnett, Jennifer H., Clarke, Caoimhe, Duncan, Nikki, Evans, Jonathan, Green, Samantha, Hendry, Kirsty, McGinlay, Meigan, McKeever, Jenny, Middleton, Duncan G., Parks, Stuart, Shaw, Robert, Tang, Elaine, Walsh, Tim, Weir, Alexander J., Wilson, Elizabeth, Quasim, Tara, MacLullich, Alasdair M.J., Tieges, Zoë
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142423/
https://www.ncbi.nlm.nih.gov/pubmed/30223771
http://dx.doi.org/10.1186/s12877-018-0901-5
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author Rutter, Lisa-Marie
Nouzova, Eva
Stott, David J.
Weir, Christopher J.
Assi, Valentina
Barnett, Jennifer H.
Clarke, Caoimhe
Duncan, Nikki
Evans, Jonathan
Green, Samantha
Hendry, Kirsty
McGinlay, Meigan
McKeever, Jenny
Middleton, Duncan G.
Parks, Stuart
Shaw, Robert
Tang, Elaine
Walsh, Tim
Weir, Alexander J.
Wilson, Elizabeth
Quasim, Tara
MacLullich, Alasdair M.J.
Tieges, Zoë
author_facet Rutter, Lisa-Marie
Nouzova, Eva
Stott, David J.
Weir, Christopher J.
Assi, Valentina
Barnett, Jennifer H.
Clarke, Caoimhe
Duncan, Nikki
Evans, Jonathan
Green, Samantha
Hendry, Kirsty
McGinlay, Meigan
McKeever, Jenny
Middleton, Duncan G.
Parks, Stuart
Shaw, Robert
Tang, Elaine
Walsh, Tim
Weir, Alexander J.
Wilson, Elizabeth
Quasim, Tara
MacLullich, Alasdair M.J.
Tieges, Zoë
author_sort Rutter, Lisa-Marie
collection PubMed
description BACKGROUND: Delirium is a common and serious clinical syndrome which is often missed in routine clinical care. The core cognitive feature is inattention. We developed a novel bedside neuropsychological test for assessing inattention in delirium implemented on a smartphone platform (DelApp). We aim to evaluate the diagnostic performance of the DelApp in a representative cohort of older hospitalised patients. METHODS: This is a prospective study of older non-scheduled hospitalised patients (target n = 500, age ≥ 65), recruited from elderly care and acute orthopaedic wards. Exclusion criteria are: non-English speakers; severe vision or hearing impairment; photosensitive epilepsy. A structured reference standard delirium assessment based on DSM-5 criteria will be used, which includes a cognitive test battery administered by a trained assessor (Orientation-Memory-Concentration Test, Abbreviated Mental Test-10, Delirium Rating Severity Scale-Revised-98, digit span, months and days backwards, Vigilance A’ test) and assessment of arousal (Observational Scale of Level of Arousal, Richmond Agitation Sedation Scale). Prior change in cognition will be documented using the Informant Questionnaire on Cognitive Decline in the Elderly. Patients will be categorized as delirium (with/without dementia), possible delirium, dementia, no cognitive impairment, or undetermined. A separate assessor (blinded to diagnosis and assessments) will administer the DelApp index test within 3 h of the reference standard assessment. The DelApp comprises assessment of arousal (score 0-4) and sustained attention (score 0-6), yielding a total score between 0 and 10 (higher score = better performance). Outcomes (length of stay, mortality and discharge location) will be collected at 12 weeks. We will evaluate a priori cutpoints derived from a previous case-control study. Measures of the accuracy of DelApp will include sensitivity, specificity, positive and negative predictive values, and area under the ROC curve. We plan repeat assessments on up to 4 occasions in a purposive subsample of 30 patients (15 delirium, 15 no delirium) to examine changes over time. DISCUSSION: This study evaluates the diagnostic test accuracy of a novel smartphone test for delirium in a representative cohort of older hospitalised patients, including those with dementia. DelApp has the potential to be a convenient, objective method of improving delirium assessment for older people in acute care. TRIAL REGISTRATION: Clinical trials.gov, NCT02590796. Registered on 29 Oct 2015. Protocol version 5, dated 25 July 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0901-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-61424232018-09-20 Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol Rutter, Lisa-Marie Nouzova, Eva Stott, David J. Weir, Christopher J. Assi, Valentina Barnett, Jennifer H. Clarke, Caoimhe Duncan, Nikki Evans, Jonathan Green, Samantha Hendry, Kirsty McGinlay, Meigan McKeever, Jenny Middleton, Duncan G. Parks, Stuart Shaw, Robert Tang, Elaine Walsh, Tim Weir, Alexander J. Wilson, Elizabeth Quasim, Tara MacLullich, Alasdair M.J. Tieges, Zoë BMC Geriatr Study Protocol BACKGROUND: Delirium is a common and serious clinical syndrome which is often missed in routine clinical care. The core cognitive feature is inattention. We developed a novel bedside neuropsychological test for assessing inattention in delirium implemented on a smartphone platform (DelApp). We aim to evaluate the diagnostic performance of the DelApp in a representative cohort of older hospitalised patients. METHODS: This is a prospective study of older non-scheduled hospitalised patients (target n = 500, age ≥ 65), recruited from elderly care and acute orthopaedic wards. Exclusion criteria are: non-English speakers; severe vision or hearing impairment; photosensitive epilepsy. A structured reference standard delirium assessment based on DSM-5 criteria will be used, which includes a cognitive test battery administered by a trained assessor (Orientation-Memory-Concentration Test, Abbreviated Mental Test-10, Delirium Rating Severity Scale-Revised-98, digit span, months and days backwards, Vigilance A’ test) and assessment of arousal (Observational Scale of Level of Arousal, Richmond Agitation Sedation Scale). Prior change in cognition will be documented using the Informant Questionnaire on Cognitive Decline in the Elderly. Patients will be categorized as delirium (with/without dementia), possible delirium, dementia, no cognitive impairment, or undetermined. A separate assessor (blinded to diagnosis and assessments) will administer the DelApp index test within 3 h of the reference standard assessment. The DelApp comprises assessment of arousal (score 0-4) and sustained attention (score 0-6), yielding a total score between 0 and 10 (higher score = better performance). Outcomes (length of stay, mortality and discharge location) will be collected at 12 weeks. We will evaluate a priori cutpoints derived from a previous case-control study. Measures of the accuracy of DelApp will include sensitivity, specificity, positive and negative predictive values, and area under the ROC curve. We plan repeat assessments on up to 4 occasions in a purposive subsample of 30 patients (15 delirium, 15 no delirium) to examine changes over time. DISCUSSION: This study evaluates the diagnostic test accuracy of a novel smartphone test for delirium in a representative cohort of older hospitalised patients, including those with dementia. DelApp has the potential to be a convenient, objective method of improving delirium assessment for older people in acute care. TRIAL REGISTRATION: Clinical trials.gov, NCT02590796. Registered on 29 Oct 2015. Protocol version 5, dated 25 July 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0901-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-17 /pmc/articles/PMC6142423/ /pubmed/30223771 http://dx.doi.org/10.1186/s12877-018-0901-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Rutter, Lisa-Marie
Nouzova, Eva
Stott, David J.
Weir, Christopher J.
Assi, Valentina
Barnett, Jennifer H.
Clarke, Caoimhe
Duncan, Nikki
Evans, Jonathan
Green, Samantha
Hendry, Kirsty
McGinlay, Meigan
McKeever, Jenny
Middleton, Duncan G.
Parks, Stuart
Shaw, Robert
Tang, Elaine
Walsh, Tim
Weir, Alexander J.
Wilson, Elizabeth
Quasim, Tara
MacLullich, Alasdair M.J.
Tieges, Zoë
Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol
title Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol
title_full Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol
title_fullStr Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol
title_full_unstemmed Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol
title_short Diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol
title_sort diagnostic test accuracy of a novel smartphone application for the assessment of attention deficits in delirium in older hospitalised patients: a prospective cohort study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142423/
https://www.ncbi.nlm.nih.gov/pubmed/30223771
http://dx.doi.org/10.1186/s12877-018-0901-5
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