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Depositordc.contributorTieges, Zoe
Funderdc.contributor.otherMRC - Medical Research Councilen_UK
Spatial Coveragedc.coverage.spatialEdinburgh and Glasgow, Scotland, UKen_UK
Spatial Coveragedc.coverage.spatialUKen
Spatial Coveragedc.coverage.spatialUNITED KINGDOMen
Data Creatordc.creatorTieges, Zoe
Data Creatordc.creatorMacLullich, Alasdair
Date Accessioneddc.date.accessioned2020-01-13T11:43:14Z
Date Availabledc.date.available2020-01-13T11:43:14Z
Citationdc.identifier.citationTieges, Zoe; MacLullich, Alasdair. (2020). Data for "A smartphone-based test for the assessment of attention deficits in delirium: a case-control diagnostic test accuracy study in older hospitalised patients.", [dataset]. University of Edinburgh. College of Medicine & Veterinary Medicine. Department of Geriatric Medicine. https://doi.org/10.7488/ds/2752.en
Persistent Identifierdc.identifier.urihttp://hdl.handle.net/10283/3552
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2752
Dataset Description (abstract)dc.description.abstractPaper: A smartphone-based test for the assessment of attention deficits in delirium: a case-control diagnostic test accuracy study in older hospitalised patients. ABSTRACT ## Background ## Delirium is a common and serious acute neuropsychiatric syndrome which is often missed in routine clinical care. Inattention is the core cognitive feature. Diagnostic test accuracy (including cut-points) of a smartphone Delirium App (DelApp) for assessing attention deficits was assessed in older hospital inpatients. ## Methods ## This was a case-control study of hospitalised patients aged ≥65 years with delirium (with or without pre-existing cognitive impairment), who were compared to patients with dementia without delirium, and patients without cognitive impairment. Reference standard delirium assessment, which included a neuropsychological test battery, was based on Diagnostic and Statistical Manual of Mental Disorders-5 criteria. A separate blinded assessor administered the DelApp arousal assessment (score 0-4) and attention task (0-6) yielding an overall score of 0 to 10 (lower scores indicate poorer performance). Analyses included receiver operating characteristic curves and sensitivity and specificity. Optimal cut-points for delirium detection were determined using Youden's index. ## Results ## A total of 187 patients were recruited, mean age 83.8 (range 67-98) years, 152 (81%) women; n=61 with delirium; n=61 with dementia without delirium; and n=65 without cognitive impairment. Patients with delirium performed poorly on the DelApp (median score=4/10; inter-quartile range 3.0, 5.5) compared to patients with dementia (9.0; 5.5, 10.0) and those without cognitive impairment (10.0; 10.0, 10.0). Area under the curve for detecting delirium was 0.89 (95% Confidence Interval 0.84, 0.94). At an optimal cut-point of <8, sensitivity was 91.7% (84.7%, 98.7%) and specificity 74.2% (66.5%, 81.9%) for discriminating delirium from the other groups. Specificity was 68.3% (56.6%, 80.1%) for discriminating delirium from dementia (cut-point <6). ## Conclusion ## Patients with delirium (with or without pre-existing cognitive impairment) perform poorly on the DelApp compared to patients with dementia and those without cognitive impairment. A cut-point of <8/10 is suggested as having optimal sensitivity and specificity. The DelApp is a promising tool for assessment of attention deficits associated with delirium in older hospitalised adults, many of whom have prior cognitive impairment, and should be further validated in representative patient cohorts.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh. College of Medicine & Veterinary Medicine. Department of Geriatric Medicineen_UK
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Subjectdc.subjectgeriatric medicineen_UK
Subjectdc.subjectdeliriumen_UK
Subjectdc.subjectdiagnostic test accuracyen_UK
Subjectdc.subjectattentionen_UK
Subjectdc.subjectmeasurementen_UK
Subjectdc.subjectneuropsychologicalen_UK
Subjectdc.subjectsmartphoneen_UK
Subjectdc.subjectdementiaen_UK
Subjectdc.subjectcognitionen_UK
Subjectdc.subjectsensitivityen_UK
Subjectdc.subjectspecificityen_UK
Subjectdc.subjecthospitalen_UK
Subjectdc.subjectDelAppen_UK
Subjectdc.subjectobjective test of attentionen_UK
Subject Classificationdc.subject.classificationMedicine and Dentistry::Clinical Medicineen_UK
Titledc.titleData for "A smartphone-based test for the assessment of attention deficits in delirium: a case-control diagnostic test accuracy study in older hospitalised patients."en_UK
Typedc.typedataseten_UK

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