Rui P. Moreno , 1 , Philipp G. H. Metnitz 2 , Eduardo Almeida 3 , Barbara Jordan 4 , Peter Bauer 4 , Ricardo Abizanda Campos 5 , Gaetano Iapichino 6 , David Edbrooke 7 , Maurizia Capuzzo 8 , Jean-Roger Le Gall 9 , on behalf of the SAPS 3 Investigators
17 August 2005
To develop a model to assess severity of illness and predict vital status at hospital discharge based on ICU admission data.
A total of 16,784 patients consecutively admitted to 303 intensive care units from 14 October to 15 December 2002.
ICU admission data (recorded within ±1 h) were used, describing: prior chronic conditions and diseases; circumstances related to and physiologic derangement at ICU admission. Selection of variables for inclusion into the model used different complementary strategies. For cross-validation, the model-building procedure was run five times, using randomly selected four fifths of the sample as a development- and the remaining fifth as validation-set. Logistic regression methods were then used to reduce complexity of the model. Final estimates of regression coefficients were determined by use of multilevel logistic regression. Variables selection and weighting were further checked by bootstraping (at patient level and at ICU level). Twenty variables were selected for the final model, which exhibited good discrimination (aROC curve 0.848), without major differences across patient typologies. Calibration was also satisfactory (Hosmer-Lemeshow goodness-of-fit test Ĥ=10.56, p=0.39, Ĉ=14.29, p=0.16). Customised equations for major areas of the world were computed and demonstrate a good overall goodness-of-fit.
The SAPS 3 admission score is able to predict vital status at hospital discharge with use of data recorded at ICU admission. Furthermore, SAPS 3 conceptually dissociates evaluation of the individual patient from evaluation of the ICU and thus allows them to be assessed at their respective reference levels.
Electronic supplementary material is included in the online fulltext version of this article and accessible for authorised users: http://dx.doi.org/10.1007/s00134-005-2763-5