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dc.contributor.authorde Lange, Dylan W.
dc.contributor.authorBrinkman, Sylvia
dc.contributor.authorFlaatten, Hans
dc.contributor.authorBoumendil, Ariane
dc.contributor.authorMorandi, Alessandro
dc.contributor.authorAndersen, Finn Husøy
dc.contributor.authorArtigas, Antonio
dc.contributor.authorBertolini, Guido
dc.contributor.authorCecconi, Maurizio
dc.contributor.authorChristensen, Steffen
dc.contributor.authorFaraldi, Loredana
dc.contributor.authorFjølner, Jesper
dc.contributor.authorJung, Christian
dc.contributor.authorMarsh, Brian
dc.contributor.authorMoreno, Rui
dc.contributor.authorOeyen, Sandra
dc.contributor.authorÖhman, Christina Agwald
dc.contributor.authorBollen Pinto, Bernardo
dc.contributor.authorde Smet, Anne Marie G.A.
dc.contributor.authorSoliman, Ivo W.
dc.contributor.authorSzczeklik, Wojciech
dc.contributor.authorValentin, Andreas
dc.contributor.authorWatson, Ximena
dc.contributor.authorZafeiridis, Tilemachos
dc.contributor.authorGuidet, Bertrand
dc.identifier.citationJournal of The American Geriatrics Society. 2019, 67 (6), 1263-1267.nb_NO
dc.description.abstractOBJECTIVES To develop a scoring system model that predicts mortality within 30 days of admission of patients older than 80 years admitted to intensive care units (ICUs). DESIGN Prospective cohort study. SETTING A total of 306 ICUs from 24 European countries. PARTICIPANTS Older adults admitted to European ICUs (N = 3730; median age = 84 years [interquartile range = 81‐87 y]; 51.8% male). MEASUREMENTS Overall, 24 variables available during ICU admission were included as potential predictive variables. Multivariable logistic regression was used to identify independent predictors of 30‐day mortality. Model sensitivity, specificity, and accuracy were evaluated with receiver operating characteristic curves. RESULTS The 30‐day‐mortality was 1562 (41.9%). In multivariable analysis, these variables were selected as independent predictors of mortality: age, sex, ICU admission diagnosis, Clinical Frailty Scale, Sequential Organ Failure Score, invasive mechanical ventilation, and renal replacement therapy. The discrimination, accuracy, and calibration of the model were good: the area under the curve for a score of 10 or higher was .80, and the Brier score was .18. At a cut point of 10 or higher (75% of all patients), the model predicts 30‐day mortality in 91.1% of all patients who die. CONCLUSION A predictive model of cumulative events predicts 30‐day mortality in patients older than 80 years admitted to ICUs. Future studies should include other potential predictor variables including functional status, presence of advance care plans, and assessment of each patient's decision‐making capacity.nb_NO
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.titleCumulative prognostic score predicting mortality in patients older than 80 years admitted to the ICUnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalJournal of The American Geriatrics Societynb_NO
dc.description.localcode© 2019 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals, Inc. on behalf of The American Geriatrics Society. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.nb_NO
cristin.unitnameInstitutt for sirkulasjon og bildediagnostikk

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