The literature relating to intensive care outcomes and health services research, in particular using scoring systems to assess severity of illness, has expanded rapidly in the past ten years. Indeed, assessment of severity of illness has been a corner-stone in this process, helping us to understand, and thus to describe, on an international basis the types of patient we are treating in the intensive care unit (ICU). Scoring systems such as the acute physiology, and chronic health evaluation (APACHE, three successive generations) [1, 2], the mortality probability model (MPM) [3] and the simplified acute physiology score (SAPS, I and II) [4, 5], were initially proposed to describe severity of illness and predict the mortality of groups of patients and not to predict the prognosis of a given individual.
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Carlet, J., Montuclard, L., Garrouste-Orgeas, M. (2002). Disaggregating Data: From Groups to Individuals. In: Sibbald, W.J., Bion, J.F. (eds) Evaluating Critical Care. Update in Intensive Care Medicine, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56719-3_22
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