2012, Número 4
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Med Crit 2012; 26 (4)
Tercer lugar Premio «Dr. Mario Shapiro»
Escalas pronósticas en la Unidad de Terapia Intensiva
Mata VJF
Idioma: Español
Referencias bibliográficas: 45
Paginas: 234-241
Archivo PDF: 76.85 Kb.
RESUMEN
Las escalas pronósticas son instrumentos que nos permiten estandarizar datos para poder compararlos posteriormente. En las Unidades de Cuidados Intensivos se manejan principalmente 4 escalas: APACHE (Acute Physiology and Chronic Health Evaluation), SAPS (Simplified Acute Physiology Score), MPM (Mortality Probability Models) y SOFA (Sequential Organ Failure Assessment). Estas unidades médicas nos brindan un entorno más adecuado para aplicar las escalas de predicción. Estos sistemas se desarrollan a partir de grandes grupos de pacientes y tienen como finalidad orientar al clínico en la toma de decisiones con un sustento científico.
REFERENCIAS (EN ESTE ARTÍCULO)
Cowen JS, Kelley MA. Errors and bias in using predictive scoring systems. Crit Care Clin 1994;10:53.
Ho KM, Dobb GJ, Knuiman M, et al. A comparison of admission and worst 24-hour acute physiology and chronic health evaluation II scores in predicting hospital mortality: a retrospective cohort study. Crit Care 2006;10:R4.
Escarce JJ, Kelley MA. Admission source to the medical intensive care unit predicts hospital death independent of APACHE II score. JAMA 1990;264:2389.
Capuzzo M, Valpondi V, Sgarbi A, et al. Validation of severity scoring systems SAPS II and APACHE II in a single-center population. Intensive Care Med 2000;26:1779.
Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest 1991;100:1619.
Wagner DP, Knaus WA, Harrell FE, et al. Daily prognostic estimates for critically ill adults in intensive care units: results from a prospective, multicenter, inception cohort analysis. Crit Care Med 1994;22:1359.
A controlled trial to improve care for seriously ill hospitalized patients. The study to understand prognoses and preferences for outcomes and risks of treatments (SUPPORT). The SUPPORT Principal Investigators. JAMA 1995;274:1591.
Zimmerman JE, Kramer AA, McNair DS, Malila FM. Acute physiology and chronic health evaluation (APACHE) IV: hospital mortality assessment for today’s critically ill patients. Crit Care Med 2006;34:1297.
Zimmerman JE, Kramer AA, McNair DS, et al. Intensive care unit length of stay: Benchmarking based on acute physiology and chronic health evaluation (APACHE) IV. Crit Care Med 2006;34:2517.
Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 1993;270:2957.
Castella X, Artigas A, Bion J, Kari A. A comparison of severity of illness scoring systems for intensive care unit patients: results of a multicenter, multinational study. The European/North American Severity Study Group. Crit Care Med 1995;23:1327.
Auriant I, Vinatier I, Thaler F, et al. Simplified acute physiology score II for measuring severity of illness in intermediate care units. Crit Care Med 1998;26:1368.
Metnitz PG, Valentin A, Vesely H, et al. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Simplified acute physiology score. Intensive Care Med 1999;25:192.
Ledoux D, Canivet JL, Preiser JC, et al. SAPS 3 admission score: an external validation in a general intensive care population. Intensive Care Med 2008;34:1873.
Poole D, Rossi C, Anghileri A, et al. External validation of the simplified acute physiology score (SAPS) 3 in a cohort of 28,357 patients from 147 Italian intensive care units. Intensive Care Med 2009;35:1916.
Lemeshow S, Teres D, Klar J, et al. Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. JAMA 1993;270:2478.
Lemeshow S, Le Gall JR. Modeling the severity of illness of ICU patients. A systems update. JAMA 1994;272:1049.
Higgins TL, Kramer AA, Nathanson BH, et al. Prospective validation of the intensive care unit admission Mortality Probability Model (MPM0-III). Crit Care Med 2009;37:1619.
Ferreira FL, Bota DP, Bross A, et al. Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA 2001;286:1754.
Vincent JL, de Mendona A, Cantraine F, et al. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European Society of Intensive Care Medicine. Crit Care Med 1998;26:1793.
Minne L, Abu-Hanna A, de Jonge E. Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review. Crit Care 2008;12:R161.
Glance LG, Osler TM, Dick A. Rating the quality of Intensive Care Units: is it a function of the intensive care unit scoring system? Crit Care Med 2002;30:1976.
Glance LG, Osler TM, Dick AW. Identifying quality outliers in a large, multiple-institution database by using customized versions of the Simplified Acute Physiology Score II and the Mortality Probability Model II0. Crit Care Med 2002;30:1995.
Kuzniewicz MW, Vasilevskis EE, Lane R, et al. Variation in ICU risk-adjusted mortality: impact of methods of assessment and potential confounders. Chest 2008;133:1319.
Kollef MH, Schuster DP. Predicting Intensive Care Unit outcome with scoring systems. Underlying concepts and principles. Crit Care Clin 1994;10:1.
Knaus WA, Wagner DP, Zimmerman JE, Draper EA. Variations in mortality and length of stay in intensive care units. Ann Intern Med 1993;118:753.
Rivers E, Nguyen B, Havstad S, et al. Early goal-directed therapy in the treatment of severe sepsis and septic shock. N Engl J Med 2001;345:1368.
Bernard GR, Vincent JL, Laterre PF, et al. Efficacy and safety of recombinant human activated protein C for severe sepsis. N Engl J Med 2001;344:699.
Brower RG, Matthay MA, Morris A, Schoenfeld D, Thompson BT, Wheeler A. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The Acute Respiratory Distress Syndrome Network. N Engl J Med 2000;342:1301.
Anzueto A, Baughman RP, Guntupalli KK, et al. Aerosolized surfactant in adults with sepsis-induced acute respiratory distress syndrome. Exosurf Acute Respiratory Distress Syndrome Sepsis Study Group. N Engl J Med 1996;334:1417.
Pronovost PJ, Angus DC, Dorman T, et al. Physician staffing patterns and clinical outcomes in critically ill patients: a systematic review. JAMA 2002;288:2151.
Multz AS, Chalfin DB, Samson IM, et al. A “closed” medical intensive care unit (MICU) improves resource utilization when compared with an “open” MICU. Am J Respir Crit Care Med 1998;157:1468.
Dimick JB, Pronovost PJ, Heitmiller RF, Lipsett PA. Intensive care unit physician staffing is associated with decreased length of stay, hospital cost, and complications after esophageal resection. Crit Care Med 2001;29:753.
Li TC, Phillips MC, Shaw L, et al. On-site physician staffing in a community hospital intensive care unit. Impact on test and procedure use and on patient outcome. JAMA 1984;252:2023.
Brown JJ, Sullivan G. Effect on ICU mortality of a full-time critical care specialist. Chest 1989;96:127.
Carson SS, Stocking C, Podsadecki T, et al. Effects of organizational change in the medical intensive care unit of a teaching hospital: a comparison of ‘open’ and ‘closed’ formats. JAMA 1996;276:322.
Afessa B, Keegan MT, Hubmayr RD, et al. Evaluating the performance of an institution using an intensive care unit benchmark. Mayo Clin Proc 2005;80:174.
Zimmerman JE, Alzola C, Von Rueden KT. The use of benchmarking to identify top performing critical care units: a preliminary assessment of their policies and practices. J Crit Care 2003;18:76.
Zimmerman JE, Shortell SM, Knaus WA, et al. Value and cost of teaching hospitals: a prospective, multicenter, inception cohort study. Crit Care Med 1993;21:1432.
Zimmerman JE, Wagner DP, Knaus WA, et al. The use of risk predictions to identify candidates for intermediate care units. Implications for intensive care utilization and cost. Chest 1995;108:490.
Katsaragakis S, Papadimitropoulos K, Antonakis P, et al. Comparison of Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) scoring systems in a single Greek Intensive Care Unit. Crit Care Med 2000;28:426.
Patel PA, Grant BJ. Application of mortality prediction systems to individual Intensive Care Units. Intensive Care Med 1999;25:977.
Barie PS, Hydo LJ, Fischer E. Comparison of APACHE II and III scoring systems for mortality prediction in critical surgical illness. Arch Surg 1995;130:77.
Brown MC, Crede WB. Predictive ability of acute physiology and chronic health evaluation II scoring applied to human immunodeficiency virus-positive patients. Crit Care Med 1995;23:848.
Lewinsohn G, Herman A, Leonov Y, Klinowski E. Critically ill obstetrical patients: outcome and predictability. Crit Care Med 1994;22:1412.