Cumulative Prognostic Score Predicting Mortality in Patients Older Than 80 Years Admitted to the ICU

Dylan W. de Lange, Sylvia Brinkman, Hans Flaatten, Ariane Boumendil, Alessandro Morandi, Finn H. Andersen, Antonio Artigas, Guido Bertolini, Maurizio Cecconi, Steffen Christensen, Loredana Faraldi, Jesper Fjølner, Christian Jung, Brian Marsh, Rui Moreno, Sandra Oeyen, Christina Agvald Öhman, Bernadro Bollen Pinto, Anne Marie G.A. de Smet, Ivo W. SolimanWojciech Szczeklik, Andreas Valentin, Ximena Watson, Tilemachos Zafeiridis, Bertrand Guidet

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26 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1263-1267
JournalJournal of the American Geriatrics Society
Issue number6
Publication statusPublished - Jun 2019


  • critical care
  • model
  • older adults
  • predict
  • prognosis


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