Abstract
The science and art of risk stratification appeared in early 1953, when Virginia Apgar [1] published a simple physiological scoring tool to evaluate the newborn child. This system, still commonly used worldwide, evaluates only two physiologic systems: Cardiopulmonary and central nervous system (CNS) function. Several years later, in the early 1980s, several researchers applied the same concept to critically ill patients, through the introduction of the acute physiology and chronic health evaluation (APACHE) and the simplified acute physiological score (SAPS), both physiologically based classification systems [2, 3]. These instruments, named general severity scores, are tools that aim at stratifying patients based on their severity, assigning to each patient an increasing score as their severity of illness increases. Initially designed to be applicable to individual patients, it became apparent very early after their introduction that both systems could in fact be used only in large heterogeneous groups of critically ill patients.
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References
Apgar V (1953) A proposal for a new method of evaluation of the newborn infant. Anesth Analg 32:260–267
Knaus WA, Zimmerman JE, Wagner DP, Draper EA, Lawrence DE (1981) APACHE — acute physiology and chronic health evaluation: a physiologically based classification system. Crit Care Med 9:591–597
Le Gall JR, Loirat P, Alperovitch A (1983) Simplified acute physiological score for intensive care patients. Lancet 2:741
Knaus WA, Draper EA, Wagner DP, Zimmerman JE (1985) APACHE II: a severity of disease classification system. Crit Care Med 13:818–829
Lemeshow S, Teres D, Pastides H, et al (1985) A method for predicting survival and mortality of ICU patients using objectively derived weights. Crit Care Med 13:519–525
Le Gall JR, Lemeshow S, Saulnier F (1993) A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 270:2957–2963
Lemeshow S, Teres D, Klar J, Avrunin JS, Gehlbach SH, Rapoport J (1993) Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. JAMA 270:2478–2486
Knaus WA, Wagner DP, Draper EA, et al (1991) The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest 100:1619–1636
Suter P, Armagandis A, Beaufils F, et al (1994) Predicting outcome in ICU patients: consensus conference organized by the ESICM and the SRLF. Intensive Care Med 20:390–397
Moreno R, Matos R (2000) The “new” scores: what problems have been fixed, and what remain. Curr Opin Crit Care 6:158–165
Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR (2001) Epidemiology of severe sepsis in the United States: analysis of incidence, outcome and associated costs of care. Crit Care Med 29:1303–1310
Martin GS, Mannino DM, Eaton S, Moss M (2003) The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med 348:1546–1554
Bernard GR, Vincent J-L, Laterre PF, et al (2001) Efficacy and Safety of Recombinant Human Activated Protein C for Severe Sepsis. N Engl J Med 344:699–709
Ely EW, Laterre P-F, Angus DC, et al (2003) Drotrecogin alfa (activated) administration across clinically important subgroups of patients with severe sepsis. Crit Care Med 31:12–19
Moreno R, Apolone G (1997) The impact of different customization strategies in the performance of a general severity score. Crit Care Med 25:2001–2008
Zhu B-P, Lemeshow S, Hosmer DW, Klarm J, Avrunin J, Teres D (1996) Factors affecting the performance of the models in the mortality probability model and strategies of customization: a simulation study. Crit Care Med 24:57–63
Le Gall JR, Lemeshow S, Leleu G, et al (1995) Customized probability models for early severe sepsis in adult intensive care patients. JAMA 273:644–650
Apolone G, D’Amico R, Bertolini G, et al (1996) The performance of SAPS II in a cohort of patients admitted in 99 Italian ICUs: results from the GiViTI. Intensive Care Med 22:1368–1378
Rivera-Fernandez R, Vazquez-Mata G, Bravo M, et al (1998) The Apache III prognostic system: customized mortality predictions for Spanish ICU patients. Intensive Care Med 24: 574–581
Zimmerman JE, Wagner DP, Draper EA, Wright L, Alzola C, Knaus WA (1998) Evaluation of acute physiology and chronic health evaluation III predictions of hospital mortality in an independent database. Crit Care Med 26:1317–1326
Zimmerman JE, Kramer AA, McNair DS, Malila FM (2006) Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients. Crit Care Med 34:1297–1310
Metnitz PG, Valentin A, Vesely H, et al (1999) Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Intensive Care Med 25:192–197
Moreno R, Apolone G, Reis Miranda D (1998) Evaluation of the uniformity of fit of general outcome prediction models. Intensive Care Med 24:40–47
Le Galll J-R, Neumann A, Hemery F, et al (2005) Mortality prediction using SAPS II: an update for French intensive care units. Crit Care 9:R645–R652
Aegerter P, Boumendil A, Retbi A, Minvielle E, Dervaux B, Guidet B (2005) SAPS II revisited. Intensive Care Med 31:416–423
Harrison DA, Brady AR, Parry GJ, Carpenter JR, Rowan K (2006) Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom. Crit Care Med 34:1378–1388
Rowan KM, Kerr JH, Major E, McPherson K, Short A, Vessey MP (1993) Intensive Care Society’s APACHE II study in Britain and Ireland — II: Outcome comparisons of intensive care units after adjustment for case mix by the American APACHE II method. BMJ 307:977–981
Metnitz PG, Moreno RP, Almeida E, et al (2005) SAPS 3. From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med 31:1336–1344
Moreno RP, Metnitz PG, Almeida E, et al (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. Intensive Care Med 31:1345–1355
Moreno R, Metnitz P, Jordan B, Einfalt J, Bauer P (2006) SAPS 3 28 days score: a prognostic model to estimate patient survival during the first 28 days in the ICU. Intensive Care Med 32:S203 (abst)
Rothen H, Stricker K, Einfalt J, Metnitz P, Moreno R, Takala J (2006) Variability in outcome and resource use in ICU’S. Intensive Care Med 32:S138 (abst)
Zimmerman JE, Kramer AA, McNair DS, Malila FM, Shaffer VL (2006) Intensive care unit length of stay: Benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV. Crit Care Med 34:2517–2529
Higgins T, Teres D, Copes W, Nathanson B, Stark M, Kramer A (2005) Preliminary update of the Mortality Prediction Model (MPM0). Crit Care 9:S97 (abst)
Harrison D, Parry G, Carpenter J, Short A, Rowan K (2006). A new risk prediction model: the Intensive Care National Audit & Research Centre (ICNARC) model. Intensive Care Med 32:S204 (abst)
Niskanen M, Kari A, Halonen P (1996) Five-year survival after intensive care — comparison of 12,180 patients with the general population. Crit Care Med 24:1962–1967
Bion JF (2000) Susceptibility to critical illness: reserve, response and therapy. Intensive Care Med 26:S57–S63
Villar J, Flores C, Méndez-Alvarez S (2003) Genetic susceptibility to acute lung injury. Crit Care Med 31:S272–S275
Villar J, Maca-Meyer N, Pérez-Méndez L, Flores C (2004) Bench-to-bedside review: Understanding genetic predisposition to sepsis. Crit Care 8:180–189
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Moreno, R., Jordan, B., Metnitz, P. (2007). The Changing Prognostic Determinants in the Critically III Patient. In: Vincent, JL. (eds) Intensive Care Medicine. Springer, New York, NY. https://doi.org/10.1007/978-0-387-49518-7_81
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DOI: https://doi.org/10.1007/978-0-387-49518-7_81
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