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dc.contributor.authorStow, Danielen
dc.contributor.authorMatthews, Fiona Een
dc.contributor.authorBarclay, Stephenen
dc.contributor.authorIliffe, Steveen
dc.contributor.authorClegg, Andrewen
dc.contributor.authorDe Biase, Sarahen
dc.contributor.authorRobinson, Louiseen
dc.contributor.authorHanratty, Barbaraen
dc.date.accessioned2018-02-09T14:46:05Z
dc.date.available2018-02-09T14:46:05Z
dc.date.issued2018-03-13en
dc.identifier.issn0002-0729
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/271862
dc.description.abstractBackground: recognising that a patient is nearing the end of life is essential, to enable professional carers to discuss prognosis and preferences for end of life care. Objective: investigate whether an electronic frailty index (eFI) generated from routinely collected data, can be used to predict mortality at an individual level. Design: historical prospective case control study. Setting: UK primary care electronic health records. Subjects: 13,149 individuals age 75 and over who died between 01/01/2015 and 01/01/2016, 1:1 matched by age and sex to individuals with no record of death in the same time period. Methods: two subsamples were randomly selected to enable development and validation of the association between eFI 3 months prior to death and mortality. Receiver operator characteristic (ROC) analyses were used to examine diagnostic accuracy of eFI at 3 months prior to death. Results: an eFI > 0.19 predicted mortality in the development sample at 75% sensitivity and 69% area under received operating curve (AUC). In the validation dataset this cut point gave 76% sensitivity, 53% specificity. Conclusions: the eFI measured at a single time point has low predictive value for individual risk of death, even 3 months prior to death. Although the eFI is a strong predictor or mortality at a population level, its use for individuals is far less clear.
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.titleEvaluating frailty scores to predict mortality in older adults using data from population based electronic health records: case control study.en
dc.typeArticle
prism.publicationDate2018en
prism.publicationNameAge and ageingen
dc.identifier.doi10.17863/CAM.18869
dcterms.dateAccepted2018-01-24en
rioxxterms.versionofrecord10.1093/ageing/afy022en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2018-03-13en
dc.contributor.orcidBarclay, Stephen [0000-0002-4505-7743]
dc.contributor.orcidHanratty, Barbara [0000-0002-3122-7190]
dc.identifier.eissn1468-2834
rioxxterms.typeJournal Article/Reviewen
rioxxterms.freetoread.startdate2100-01-01


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial 4.0 International