The performance of acute versus antecedent patient characteristics for 1-year mortality prediction during intensive care unit admission: a national cohort study

Autor: Monika C. Kerckhoffs, Sylvia Brinkman, Nicolet de Keizer, Ivo W. Soliman, Dylan W. de Lange, Johannes J. M. van Delden, Diederik van Dijk
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Critical Care, Vol 24, Iss 1, Pp 1-9 (2020)
Druh dokumentu: article
ISSN: 1364-8535
DOI: 10.1186/s13054-020-03017-y
Popis: Abstract Background Multiple factors contribute to mortality after ICU, but it is unclear how the predictive value of these factors changes during ICU admission. We aimed to compare the changing performance over time of the acute illness component, antecedent patient characteristics, and ICU length of stay (LOS) in predicting 1-year mortality. Methods In this retrospective observational cohort study, the discriminative value of four generalized mixed-effects models was compared for 1-year and hospital mortality. Among patients with increasing ICU LOS, the models included (a) acute illness factors and antecedent patient characteristics combined, (b) acute component only, (c) antecedent patient characteristics only, and (d) ICU LOS. For each analysis, discrimination was measured by area under the receiver operating characteristics curve (AUC), calculated using the bootstrap method. Statistical significance between the models was assessed using the DeLong method (p value
Databáze: Directory of Open Access Journals
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