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Validation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injury

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dc.contributor.authorSawhney, Simon
dc.contributor.authorTan, Zhi
dc.contributor.authorBlack, Corri
dc.contributor.authorMarks, Angharad
dc.contributor.authorMcLernon, David J
dc.contributor.authorRonksley , Paul
dc.contributor.authorJames, Matthew T
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Farr Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.date.accessioned2021-06-24T11:41:01Z
dc.date.available2021-06-24T11:41:01Z
dc.date.issued2021-07
dc.descriptionWellcome Trust Research Training Fellowship: 102729/Z/13/Z Academy of Medical Sciences Starter Grant for Clinical Lecturers: SGL020\1076 We acknowledge the support of the Grampian Data Safe Haven (DaSH) facility within the Aberdeen Centre for Health Data Science and the associated financial support of the University of Aberdeen, and NHS Research Scotland (through NHS Grampian investment in DaSH). More information is available at the DaSH website: http://www.abdn.ac.uk/iahs/facilities/grampian-data-safe-haven.phpen
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent866177
dc.identifier185236904
dc.identifier997d0f2e-6e60-47ed-9dd3-0ecb987c2b01
dc.identifier85107720553
dc.identifier33428996
dc.identifier000663932600009
dc.identifier.citationSawhney, S, Tan, Z, Black, C, Marks, A, McLernon, D J, Ronksley , P & James, M T 2021, 'Validation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injury', American Journal of Kidney Diseases, vol. 78, no. 1, pp. 28-37. https://doi.org/10.1053/j.ajkd.2020.12.008en
dc.identifier.doi10.1053/j.ajkd.2020.12.008
dc.identifier.iss1en
dc.identifier.issn0272-6386
dc.identifier.otherORCID: /0000-0001-8905-2429/work/88320366
dc.identifier.otherORCID: /0000-0003-1910-462X/work/88320637
dc.identifier.otherORCID: /0000-0002-7960-4573/work/97666995
dc.identifier.urihttps://hdl.handle.net/2164/16733
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85107720553&partnerID=8YFLogxKen
dc.identifier.vol78en
dc.language.isoeng
dc.relation.ispartofAmerican Journal of Kidney Diseasesen
dc.subjectacute kidney injury (AKI)en
dc.subjectchronic kidney disease (CKD)en
dc.subjectCKD progressionen
dc.subjectCKD surveillanceen
dc.subjectdeathen
dc.subjectfollow-up careen
dc.subjecthospital readmissionen
dc.subjectmodel-guided decisionsen
dc.subjectmortalityen
dc.subjectnet benefiten
dc.subjectpost-AKI careen
dc.subjectpost-discharge monitoringen
dc.subjectrisk predictionen
dc.subjectR Medicineen
dc.subjectNephrologyen
dc.subjectWellcome Trusten
dc.subject102729/Z/13/Zen
dc.subjectSupplementary Informationen
dc.subjectTables/Figures JAen
dc.subject.lccRen
dc.titleValidation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injuryen
dc.typeJournal articleen

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