Evidence map›Paper›PMID 26764396›Full record

ArticleAge and ageing2016

Delirium risk stratification in consecutive unselected admissions to acute medicine: validation of externally derived risk scores.

Sarah T Pendlebury, Nicola Lovett, Sarah C Smith, Emily Cornish, Ziyah Mehta, Peter M Rothwell

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Age and ageing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sarah T PendleburyNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK Departments of General (Internal) Medicine and Geratology, John Radcliffe hospital, Oxford, UK Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital and the University of Oxford, Oxford OX3 9DU, UK.
Nicola LovettDepartments of General (Internal) Medicine and Geratology, John Radcliffe hospital, Oxford, UK Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital and the University of Oxford, Oxford OX3 9DU, UK.
Sarah C SmithDepartments of General (Internal) Medicine and Geratology, John Radcliffe hospital, Oxford, UK.
Emily CornishDepartments of General (Internal) Medicine and Geratology, John Radcliffe hospital, Oxford, UK.
Ziyah MehtaStroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital and the University of Oxford, Oxford OX3 9DU, UK.
Peter M RothwellNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital and the University of Oxford, Oxford OX3 9DU, UK.
John Radcliffe Hospital · GBUniversity of Oxford · GB

Funding

Wellcome Trust 095626Wellcome Trust 104040
6 · The paper itself

Abstract

backgroundreliable delirium risk stratification will aid recognition, anticipation and prevention and will facilitate targeting of resources in clinical practice as well as identification of at-risk patients for research. Delirium risk scores have been derived for acute medicine, but none has been prospectively validated in external cohorts. We therefore aimed to determine the reliability of externally derived risk scores in a consecutive cohort of older acute medicine patients.

methodsconsecutive patients aged ≥65 over two 8-week periods (2010, 2012) were screened prospectively for delirium using the Confusion Assessment Method (CAM), and delirium was diagnosed using the DSM IV criteria. The reliability of existing delirium risk scores derived in acute medicine cohorts and simplified for use in routine clinical practice (USA, n = 2; Spain, n = 1; Indonesia, n = 1) was determined by the area under the receiver operating characteristic curve (AUC). Delirium was defined as prevalent (on admission), incident (occurring during admission) and any (prevalent + incident) delirium.

resultsamong 308 consecutive patients aged ≥65 (mean age/SD = 81/8 years, 164 (54%) female), existing delirium risk scores had AUCs for delirium similar to those reported in their original internal validations ranging from 0.69 to 0.76 for any delirium and 0.73 to 0.83 for incident delirium. All scores performed better than chance but no one score was clearly superior.

conclusionsexternally derived delirium risk scores performed well in our independent acute medicine population with reliability unaffected by simplification and might therefore facilitate targeting of multicomponent interventions in routine clinical practice.

Indexed as

Decision Support TechniquesPatient AdmissionAgedAged, 80 and overAge FactorsArea Under CurveDeliriumEnglandFemaleHumansIncidenceMalePredictive Value of TestsPrevalenceProspective StudiesReproducibility of Resultsacute medicinedeliriumpredictionrisk scoresrisk stratification

Identifiers

PMID26764396
PMCPMC4711661
OpenAlexW2248327716

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.