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Prediction of major postoperative events after non-cardiac surgery for people with kidney failure : derivation and internal validation of risk models

dc.contributor.authorHarrison, Tyrone G
dc.contributor.authorHemmelgarn, Brenda R
dc.contributor.authorJames, Matthew T
dc.contributor.authorSawhney, Simon
dc.contributor.authorManns, Braden J
dc.contributor.authorTonelli, Marcello
dc.contributor.authorRuzycki, Shannon M
dc.contributor.authorZarnke, Kelly B
dc.contributor.authorWilson, Todd A
dc.contributor.authorMcCaughey, Deirdre
dc.contributor.authorRonksley, Paul E
dc.date.accessioned2023-03-10T11:23:01Z
dc.date.available2023-03-10T11:23:01Z
dc.date.issued2023-03-10
dc.identifier.citationHarrison , T G , Hemmelgarn , B R , James , M T , Sawhney , S , Manns , B J , Tonelli , M , Ruzycki , S M , Zarnke , K B , Wilson , T A , McCaughey , D & Ronksley , P E 2023 , ' Prediction of major postoperative events after non-cardiac surgery for people with kidney failure : derivation and internal validation of risk models ' , BMC Nephrology , vol. 24 , no. 1 , 49 . https://doi.org/10.1186/s12882-023-03093-6en
dc.identifier.issn1471-2369
dc.identifier.otherPURE: 229300907
dc.identifier.otherPURE UUID: 017a18d2-096b-4700-83e3-8839c2ad3516
dc.identifier.otherPubMed: 36894895
dc.identifier.otherORCID: /0000-0002-7960-4573/work/130882224
dc.identifier.otherScopus: 85149643248
dc.identifier.urihttps://hdl.handle.net/2164/20270
dc.descriptionFunding TGH was supported by a Kidney Research Scientist Core Education and National Training Program postdoctoral fellowship (co-sponsored by the Kidney Foundation of Canada and Canadian Institutes of Health Research) and the Clinician Investigator Program at the University of Calgary. BJM is supported by the Svare Chair in Health Economics. MT is supported by the David Freeze Chair in Health Services Research. MTJ was the principal investigator of an investigator-initiated research grant from Amgen, Canada, which is not related to this work. These funding sources had no role in study design, data collection, analysis, reporting, or the decision to submit for publication.en
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofBMC Nephrologyen
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectKidney diseaseen
dc.subjectPerioperativeen
dc.subjectSurgeryen
dc.subjectRisk predictionen
dc.subjectoutcomesen
dc.subjectR Medicineen
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titlePrediction of major postoperative events after non-cardiac surgery for people with kidney failure : derivation and internal validation of risk modelsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre For Health Data Scienceen
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.Other Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1186/s12882-023-03093-6
dc.identifier.vol24en
dc.identifier.iss1en


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