Article detail · 2005
SAPS 3 From evaluation of the patient to evaluation of the intensive care unit Part 2 Development of a prognostic model for hospital mortality at ICU admission
- Year
- 2005
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Intensive Care Medicine
- Catalog match (ISSN) Intensive Care Medicine
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
OBJECTIVE: To develop a model to assess severity of illness and predict vital status at hospital discharge based on ICU admission data. DESIGN: Prospective multicentre, multinational cohort study. PATIENTS AND SETTING: A total of 16,784 patients consecutively admitted to 303 intensive care units from 14 October to 15 December 2002. MEASUREMENTS AND RESULTS: 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 H=10.56, p=0.39, C=14.29, p=0.16). Customized equations for major areas of the world were computed and demonstrate a good overall goodness-of-fit. CONCLUSIONS: 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.
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1,446 citations
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24 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- End of life practices in 282 intensive care units data from the SAPS 3 database 2009
- Sepsis mortality prediction based on predisposition infection and response 2008
- Epidemiology of Mechanical Ventilation Analysis of the SAPS 3 Database 2009
- Modeling in hospital patient survival during the first 28 days after intensive care unit admission 2008
- A Bayesian Approach to Learning Scoring Systems. 2016
- The comparison of the survival rates of intensive and palliative care units. 2020
- Postoperative patients in the intensive care unit: Identifying those who do not really need it 2015
- Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) 2019
- Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) 2019
- Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) 2019