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dc.contributor.authorMunthe-Kaas, Ragnhild
dc.contributor.authorAam, Stina
dc.contributor.authorSaltvedt, Ingvild
dc.contributor.authorWyller, Torgeir Bruun
dc.contributor.authorPendlebury, Sarah T.
dc.contributor.authorLydersen, Stian
dc.contributor.authorHagberg, Guri
dc.contributor.authorSCHELLHORN, TILL
dc.contributor.authorRostoft, Siri
dc.contributor.authorIhle-Hansen, Hege
dc.date.accessioned2022-12-09T09:41:29Z
dc.date.available2022-12-09T09:41:29Z
dc.date.created2022-04-29T13:03:30Z
dc.date.issued2022
dc.identifier.citationBMC Geriatrics. 2022, 22 (1), .en_US
dc.identifier.issn1471-2318
dc.identifier.urihttps://hdl.handle.net/11250/3036949
dc.description.abstractBackground The prognostic value of frailty measures for post-stroke neurocognitive disorder (NCD) remains to be evaluated. Aims The aim of this study was to compare the predictive value of pre-stroke FI with pre-stroke modified Rankin Scale (mRS) for post-stroke cognitive impairment. Further, we explored the added value of including FI in prediction models for cognitive prognosis post-stroke. Methods We generated a 36-item Frailty Index (FI), based on the Rockwood FI, to measure frailty based on pre-stroke medical conditions recorded in the Nor-COAST multicentre prospective study baseline assessments. Consecutive participants with a FI score and completed cognitive test battery at three months were included. We generated Odds Ratio (OR) with NCD as the dependent variable. The predictors of primary interest were pre-stroke frailty and mRS. We also measured the predictive values of mRS and FI by the area (AUC) under the receiver operating characteristic curve. Results 598 participants (43.0% women, mean/SD age = 71.6/11.9, mean/SD education = 12.5/3.8, mean/SD pre-stroke mRS = 0.8/1.0, mean/SD GDS pre-stroke = 1.4/0.8, mean/SD NIHSS day 1 3/4), had a FI mean/SD score = 0.14/0.10. The logistic regression analyses showed that FI (OR 3.09), as well as the mRS (OR 2.21), were strong predictors of major NCD. When FI and mRS were entered as predictors simultaneously, the OR for mRS decreased relatively more than that for FI. AUC for NCD post-stroke was higher for FI than for mRS, both for major NCD (0.762 vs 0.677) and for any NCD (0.681 vs 0.638). Conclusions FI is a stronger predictor of post-stroke NCD than pre-stroke mRS and could be a part of the prediction models for cognitive prognosis post-stroke.en_US
dc.language.isoengen_US
dc.publisherBMCen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIs Frailty Index a better predictor than pre-stroke modified Rankin Scale for neurocognitive outcomes 3-months post-stroke?en_US
dc.title.alternativeIs Frailty Index a better predictor than pre-stroke modified Rankin Scale for neurocognitive outcomes 3-months post-stroke?en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume22en_US
dc.source.journalBMC Geriatricsen_US
dc.source.issue1en_US
dc.identifier.doi10.1186/s12877-022-02840-y
dc.identifier.cristin2020137
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal