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dc.contributor.authorde Lange, Dylan W.en_US
dc.contributor.authorBrinkman, Sylviaen_US
dc.contributor.authorFlaatten, Hansen_US
dc.contributor.authorBoumendil, Arianeen_US
dc.contributor.authorMorandi, Alessandroen_US
dc.contributor.authorAndersen, Finn Husøyen_US
dc.contributor.authorArtigas, Antonioen_US
dc.contributor.authorBertolini, Guidoen_US
dc.contributor.authorCecconi, Maurizioen_US
dc.contributor.authorChristensen, Steffenen_US
dc.contributor.authorFaraldi, Loredanaen_US
dc.contributor.authorFjølner, Jesperen_US
dc.contributor.authorJung, Christianen_US
dc.contributor.authorMarsh, Brianen_US
dc.contributor.authorMoreno, Ruien_US
dc.contributor.authorOeyen, Sandraen_US
dc.contributor.authorÖhman, Christina Agwalden_US
dc.contributor.authorBollen Pinto, Bernardoen_US
dc.contributor.authorde Smet, Anne Marie G.A.en_US
dc.contributor.authorSoliman, Ivo W.en_US
dc.contributor.authorSzczeklik, Wojciechen_US
dc.contributor.authorValentin, Andreasen_US
dc.contributor.authorWatson, Ximenaen_US
dc.contributor.authorZafeiridis, Tilemachosen_US
dc.contributor.authorGuidet, Bertranden_US
dc.Publishedde Lange DW, Brinkman, Flaatten H, Boumendil A, Morandi A, Andersen FH, Artigas A, Bertolini G, Cecconi M, Christensen S, Faraldi L, Fjølner J, Jung C, Marsh B, Moreno R, Oeyen S, Öhman CA, Bollen Pinto, de Smet, Soliman IW, Szczeklik W, Valentin A, Watson X, Zafeiridis T, Guidet B. Cumulative prognostic score predicting mortality in patients older than 80 years admitted to the ICU. Journal of The American Geriatrics Society. 2019;67(6):1263-1267eng
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.en_US
dc.publisherWiley Periodicals, Inceng
dc.rightsAttribution CC BY-NCeng
dc.subjectcritical careeng
dc.subjectOlder adultseng
dc.titleCumulative prognostic score predicting mortality in patients older than 80 years admitted to the ICUen_US
dc.typePeer reviewed
dc.typeJournal article
dc.rights.holderCopyright 2019 The Authors
dc.source.journalJournal of The American Geriatrics Society

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