دورية أكاديمية

Cumulative prognostic score predicting mortality in patients older than 80 years admitted to the ICU

التفاصيل البيبلوغرافية
العنوان: Cumulative prognostic score predicting mortality in patients older than 80 years admitted to the ICU
المؤلفون: de Lange, Dylan W., Brinkman, Sylvia, Flaatten, Hans, Boumendil, Ariane, Morandi, Alessandro, Andersen, Finn Husøy, Artigas, Antonio, Bertolini, Guido, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Fjølner, Jesper, Jung, Christian, Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agwald, Bollen Pinto, Bernardo, de Smet, Anne Marie G.A., Soliman, Ivo W., Szczeklik, Wojciech, Valentin, Andreas, Watson, Ximena, Zafeiridis, Tilemachos, Guidet, Bertrand
المصدر: 1263-1267 ; 67 ; Journal of The American Geriatrics Society ; 6
بيانات النشر: Wiley
سنة النشر: 2019
المجموعة: NTNU Open Archive (Norges teknisk-naturvitenskapelige universitet / Norwegian University of Science and Technology)
الوصف: OBJECTIVES 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. ; publishedVersion ; © 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.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 0002-8614
العلاقة: Journal of The American Geriatrics Society. 2019, 67 (6), 1263-1267.; urn:issn:0002-8614; http://hdl.handle.net/11250/2633428Test; https://doi.org/10.1111/jgs.15888Test; cristin:1715595
DOI: 10.1111/jgs.15888
الإتاحة: https://doi.org/10.1111/jgs.15888Test
http://hdl.handle.net/11250/2633428Test
حقوق: Navngivelse-Ikkekommersiell 4.0 Internasjonal ; http://creativecommons.org/licenses/by-nc/4.0/deed.noTest
رقم الانضمام: edsbas.930095BF
قاعدة البيانات: BASE
الوصف
تدمد:00028614
DOI:10.1111/jgs.15888