Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo

23 Páginas.

Autores:: Mercado Díaz, Mario Andrés
Salazar Fernández, Rómulo

Tipo de recurso:

Fecha de publicación:: 2012

Institución:: Universidad de la Sabana

Repositorio:: Repositorio Universidad de la Sabana

Idioma:: spa

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dc.title.es_CO.fl_str_mv	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo
title	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo
spellingShingle	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo Choque séptico-Investigaciones Sepsis-Investigaciones
title_short	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo
title_full	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo
title_fullStr	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo
title_full_unstemmed	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo
title_sort	Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo
dc.creator.fl_str_mv	Mercado Díaz, Mario Andrés Salazar Fernández, Rómulo
dc.contributor.advisor.none.fl_str_mv	Buitrago Bernal, Ricardo Antonio Oliveros Rodríguez, Henry
dc.contributor.author.none.fl_str_mv	Mercado Díaz, Mario Andrés Salazar Fernández, Rómulo
dc.subject.es_CO.fl_str_mv	Choque séptico-Investigaciones Sepsis-Investigaciones
topic	Choque séptico-Investigaciones Sepsis-Investigaciones
description	23 Páginas.
publishDate	2012
dc.date.accessioned.none.fl_str_mv	2012-11-13T16:45:40Z
dc.date.available.none.fl_str_mv	2012-11-13T16:45:40Z
dc.date.created.none.fl_str_mv	2012
dc.date.issued.none.fl_str_mv	2012-11-13
dc.type.none.fl_str_mv	bachelorThesis
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dc.type.local.none.fl_str_mv	Tesis de especialización
dc.type.hasVersion.none.fl_str_mv	publishedVersion
dc.identifier.citation.none.fl_str_mv	The EPISEPSIS Group. Episepsis: a reappraisal of the epidemiology and outcome of severesepsis in French intensive care units. Intensive Care Med 2004;30(4):580–8. Silva E, Pedro M de A, Sogayar AC, Mohovic T, Silva CL, Janiszewski M, et al. Brazilian Sepsis Epidemiological Study (BASES study). Crit Care. 2004;8:R251-260 Angus DC, Linde-Zwirble WT, Lidicker J, et al. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29:1303–1310. Levy MM, Dellinger RP, Townsend SR, et al. The surviving sepsis campaign: results of an international guideline-based performance improvement program targeting severe sepsis. Intensive Care Med 2010; 36:222–231. Knaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med 1985;13:818-29. 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;100:1619-36 ] 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;270:2957-63. Zimmerman JE, Kramer AA, McNair DS, et al. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients. Crit Care Med 2006;34: 1297-310.) Meyer AA, Messick WJ, Young P, Baker CC, Fakhry S, Muakkassa F et al. Prospective comparison of clinical judgment and APACHE II score in predicting the outcome in critically ill surgical patients. J Trauma 1992; 32(6):747-753) Zimmerman JE, Kramer AA, McNair DS, et al. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients. Crit Care Med 2006;34: 1297-310.) Trzeciak S, Zanotti-Cavazzoni S, Parrillo JE, et al: Inclusion criteria for clinical trials insepsis: Did the American College of ChestPhysicians/Society of Critical Care Medicine consensus conference definitions of sepsishave an impact? Chest 2005; 127:242–245 Vincent JL: Dear SIRS, I’m sorry to say that I don’t like you … Crit Care Med 1997; 25:372–374 13 Levy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 2003; 31:1250–1256 Rello J, Rodriguez A, Lisboa T, et al: PIRO score for community-acquired pneumonia: A new prediction rule for assessment of severity in intensive care unit patients with community- acquired pneumonia. Crit Care Med 2009; 37:456–462 5 Lisboa T, Diaz E, Sa-Borges M, et al: The ventilator-associated pneumonia PIRO score: A tool for predicting ICU mortality and health-care resources use in ventilator associated pneumonia. Chest 2008; 134: 1208–1216 Howell M, Talmor D, Schuetz P. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327 Consensus Conference Organised by the ESICM and the SRLF (1994) Predicting outcome in ICU patients. Intensive Care Med 20: 390-397 Oliveros H. Predicción de la Mortalidad en UCI Principios Metodológicos. Acta Colombiana de Cuidado Intensivo. 2003 p: 34-42 Terrin N, Schmid C, Griffith J, et al. External validity of predinctive models: A comparison of logistic regression, clasification trees, and neural networks. Journal of clinical Epidemiology 56 (2003) 721-729 Knaus WA, Zimmerman JE, Wagner DP, et al. APACHE, acute physiology and chronic health evaluation : A physiologically based classification system. Crit Care Med 1981; 9:591-597 LeGall JR, Loirat A, Alperovitch A, et al. A simplified acute physiology score for ICU patients. Crit Care Med 1984; 12:975-977 Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, Sirio CA, Murphy DJ, Lotring T, Damiano A, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 1991 Dec;100(6):1619-36. 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; 270:2478-2486 Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/Morth American multicenter study. JAMA 1993; 270:2957-2963. Marulanda S, Caicedo JC, Agudelo J, Martínez O. APACHE II como predictor de muerte en pancreatitis aguda. Rev Colomb Cir 2000; 15: 261-266 Hernández, Albeiro; Oliveros, Henry. Validez de los marcadores de severidad en la predicción de mortalidad en pancreatitis aguda Revista Med, vol. 15, núm. 001, enero, 2007, pp. 48-53. Universidad Militar Nueva Granada Colombia Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999;130:515–24 Harrell FE, Lee KL, Mark DB. Tutorial in biostatistics multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361–87. Steyerberg EW, Harrell FE Jr, Borsboom GJJM, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54:774–81. Terrin N. Schmid C, Griffith J, et al. External validity of predictive models: A comparison of logistic regression, clasification trees, and neural networks. Journal of clinical epidemiology 56 (2003) 721-729 Levy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 2003; 31:1250–1256 Schuster DP(1992) Predicting outcome after ICU admission. The art and science of assessing risk. Chest 101:1861-1870 Hosmer D W, Lemeshow S. Assessing the Fit of the Model. In: Wiley Inter-Science, editor. Applied Logistic Regression. New York: 2000: 143-299 Francesca Rubulotta, MD; John C. Marshall, MD; Graham Ramsay, MD; David Nelson, MS; Mitchell Levy, MD; Mark Williams, MD, FCCM. Predisposition, insult/infection, response, and organ dysfunction: A new model for staging severe sepsis. Crit Care Med 2009; 37: 1329–1335 Martin GS, Mannino DM, Eaton S, et al: The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med 2003; 348:1546–1554) Bone RC, Balk RA, Cerra FB, et al: American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Chest 1992; 101:1644–1655 Vincent JL: Dear SIRS, I’m sorry to say that I don’t like you … Crit Care Med 1997; 25: 372–374 Michael D. Howell, MD, MPH; Daniel Talmor, MD, MPH; Philipp Schuetz, MD; Sabina Hunziker, MD; Alan E. Jones, MD; Nathan I. Shapiro, MD, MPH. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327 Le Gall JR, Lemeshow S, Leleu G, Klar J, Huillard J, Rué M, Teres D, Artigas A. Customized probability models for early severe sepsis in adult intensive care patients. Intensive Care Unit Scoring Group. JAMA. 1995 Feb 22;273(8):644-50) Arabi Y, Al Shirawi N, Memish Z, Venkatesh S, Al-Shimemeri A. Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: a prospective cohort study. Crit Care. 2003 Oct;7(5):R116-22. Epub 2003 Aug 28 Levy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International sepsis definitions conference. Crit Care Med 2003; 31:1250–1256 Rello J, Rodriguez A, Lisboa T, et al: PIRO score for community-acquired pneumonia: A new prediction rule for assessment of severity in intensive care unit patients with community- acquired pneumonia. Crit Care Med 2009; 37:456–462 Lisboa T, Diaz E, Sa-Borges M, et al: The ventilator-associated pneumonia PIRO score: A tool for predicting ICU mortality and health-care resources use in ventilatorassociated pneumonia. Chest 2008; 134: 1208–1216 Howell M, Talmor D, Schuetz P. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327 Nguyen HB, Van Ginkel C, Batech M, Banta J, Corbett SW. Comparison of Predisposition, Insult/Infection, Response, and Organ dysfunction, Acute Physiology And Chronic Health Evaluation II, and Mortality in Emergency Department Sepsis in patients meeting criteria for early goal-directed therapy and the severe sepsis resuscitation bundle. J Crit Care. 2011 Oct 25. [Epub ahead of print] Arriagada D, Díaz F, Donoso A, Cruces P. Clasificación PIRO en sepsis grave y shock séptico pediátrico: Nuevo modelo de estratificación y su utilidad en pronóstico. Rev Chil Infect 2010; 27(1): 17- 23 Guillermo Ortiz; Antonio Lara; Mauricio Moreno; Alejandro Reyes; Jorge Ordoñez; Rafael Miranda; Carmelo Dueñas. Puntaje PIRO en neumonía asociada al ventilador. Acta Colombiana de Cuidado Intensivo 2010; 10(1): 10-15 Rubulotta F, Marshall JC, Ramsay G, et al: Predisposition, insult/infection, response, and organ dysfunction: A new model for staging severe sepsis. Crit Care Med 2009; 37: 1329–1335
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identifier_str_mv	The EPISEPSIS Group. Episepsis: a reappraisal of the epidemiology and outcome of severesepsis in French intensive care units. Intensive Care Med 2004;30(4):580–8. Silva E, Pedro M de A, Sogayar AC, Mohovic T, Silva CL, Janiszewski M, et al. Brazilian Sepsis Epidemiological Study (BASES study). Crit Care. 2004;8:R251-260 Angus DC, Linde-Zwirble WT, Lidicker J, et al. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29:1303–1310. Levy MM, Dellinger RP, Townsend SR, et al. The surviving sepsis campaign: results of an international guideline-based performance improvement program targeting severe sepsis. Intensive Care Med 2010; 36:222–231. Knaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med 1985;13:818-29. 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;100:1619-36 ] 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;270:2957-63. Zimmerman JE, Kramer AA, McNair DS, et al. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients. Crit Care Med 2006;34: 1297-310.) Meyer AA, Messick WJ, Young P, Baker CC, Fakhry S, Muakkassa F et al. Prospective comparison of clinical judgment and APACHE II score in predicting the outcome in critically ill surgical patients. J Trauma 1992; 32(6):747-753) Trzeciak S, Zanotti-Cavazzoni S, Parrillo JE, et al: Inclusion criteria for clinical trials insepsis: Did the American College of ChestPhysicians/Society of Critical Care Medicine consensus conference definitions of sepsishave an impact? Chest 2005; 127:242–245 Vincent JL: Dear SIRS, I’m sorry to say that I don’t like you … Crit Care Med 1997; 25:372–374 13 Levy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 2003; 31:1250–1256 Rello J, Rodriguez A, Lisboa T, et al: PIRO score for community-acquired pneumonia: A new prediction rule for assessment of severity in intensive care unit patients with community- acquired pneumonia. Crit Care Med 2009; 37:456–462 5 Lisboa T, Diaz E, Sa-Borges M, et al: The ventilator-associated pneumonia PIRO score: A tool for predicting ICU mortality and health-care resources use in ventilator associated pneumonia. Chest 2008; 134: 1208–1216 Howell M, Talmor D, Schuetz P. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327 Consensus Conference Organised by the ESICM and the SRLF (1994) Predicting outcome in ICU patients. Intensive Care Med 20: 390-397 Oliveros H. Predicción de la Mortalidad en UCI Principios Metodológicos. Acta Colombiana de Cuidado Intensivo. 2003 p: 34-42 Terrin N, Schmid C, Griffith J, et al. External validity of predinctive models: A comparison of logistic regression, clasification trees, and neural networks. Journal of clinical Epidemiology 56 (2003) 721-729 Knaus WA, Zimmerman JE, Wagner DP, et al. APACHE, acute physiology and chronic health evaluation : A physiologically based classification system. Crit Care Med 1981; 9:591-597 LeGall JR, Loirat A, Alperovitch A, et al. A simplified acute physiology score for ICU patients. Crit Care Med 1984; 12:975-977 Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, Sirio CA, Murphy DJ, Lotring T, Damiano A, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 1991 Dec;100(6):1619-36. 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; 270:2478-2486 Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/Morth American multicenter study. JAMA 1993; 270:2957-2963. Marulanda S, Caicedo JC, Agudelo J, Martínez O. APACHE II como predictor de muerte en pancreatitis aguda. Rev Colomb Cir 2000; 15: 261-266 Hernández, Albeiro; Oliveros, Henry. Validez de los marcadores de severidad en la predicción de mortalidad en pancreatitis aguda Revista Med, vol. 15, núm. 001, enero, 2007, pp. 48-53. Universidad Militar Nueva Granada Colombia Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999;130:515–24 Harrell FE, Lee KL, Mark DB. Tutorial in biostatistics multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361–87. Steyerberg EW, Harrell FE Jr, Borsboom GJJM, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54:774–81. Terrin N. Schmid C, Griffith J, et al. External validity of predictive models: A comparison of logistic regression, clasification trees, and neural networks. Journal of clinical epidemiology 56 (2003) 721-729 Levy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 2003; 31:1250–1256 Schuster DP(1992) Predicting outcome after ICU admission. The art and science of assessing risk. Chest 101:1861-1870 Hosmer D W, Lemeshow S. Assessing the Fit of the Model. In: Wiley Inter-Science, editor. Applied Logistic Regression. New York: 2000: 143-299 Francesca Rubulotta, MD; John C. Marshall, MD; Graham Ramsay, MD; David Nelson, MS; Mitchell Levy, MD; Mark Williams, MD, FCCM. Predisposition, insult/infection, response, and organ dysfunction: A new model for staging severe sepsis. Crit Care Med 2009; 37: 1329–1335 Martin GS, Mannino DM, Eaton S, et al: The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med 2003; 348:1546–1554) Bone RC, Balk RA, Cerra FB, et al: American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Chest 1992; 101:1644–1655 Vincent JL: Dear SIRS, I’m sorry to say that I don’t like you … Crit Care Med 1997; 25: 372–374 Michael D. Howell, MD, MPH; Daniel Talmor, MD, MPH; Philipp Schuetz, MD; Sabina Hunziker, MD; Alan E. Jones, MD; Nathan I. Shapiro, MD, MPH. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327 Le Gall JR, Lemeshow S, Leleu G, Klar J, Huillard J, Rué M, Teres D, Artigas A. Customized probability models for early severe sepsis in adult intensive care patients. Intensive Care Unit Scoring Group. JAMA. 1995 Feb 22;273(8):644-50) Arabi Y, Al Shirawi N, Memish Z, Venkatesh S, Al-Shimemeri A. Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: a prospective cohort study. Crit Care. 2003 Oct;7(5):R116-22. Epub 2003 Aug 28 Levy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International sepsis definitions conference. Crit Care Med 2003; 31:1250–1256 Lisboa T, Diaz E, Sa-Borges M, et al: The ventilator-associated pneumonia PIRO score: A tool for predicting ICU mortality and health-care resources use in ventilatorassociated pneumonia. Chest 2008; 134: 1208–1216 Nguyen HB, Van Ginkel C, Batech M, Banta J, Corbett SW. Comparison of Predisposition, Insult/Infection, Response, and Organ dysfunction, Acute Physiology And Chronic Health Evaluation II, and Mortality in Emergency Department Sepsis in patients meeting criteria for early goal-directed therapy and the severe sepsis resuscitation bundle. J Crit Care. 2011 Oct 25. [Epub ahead of print] Arriagada D, Díaz F, Donoso A, Cruces P. Clasificación PIRO en sepsis grave y shock séptico pediátrico: Nuevo modelo de estratificación y su utilidad en pronóstico. Rev Chil Infect 2010; 27(1): 17- 23 Guillermo Ortiz; Antonio Lara; Mauricio Moreno; Alejandro Reyes; Jorge Ordoñez; Rafael Miranda; Carmelo Dueñas. Puntaje PIRO en neumonía asociada al ventilador. Acta Colombiana de Cuidado Intensivo 2010; 10(1): 10-15 Rubulotta F, Marshall JC, Ramsay G, et al: Predisposition, insult/infection, response, and organ dysfunction: A new model for staging severe sepsis. Crit Care Med 2009; 37: 1329–1335 152849 TE05514
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spelling	Buitrago Bernal, Ricardo AntonioOliveros Rodríguez, HenryMercado Díaz, Mario AndrésSalazar Fernández, RómuloEspecialista en Medicina Crítica y Cuidado Intensivo2012-11-13T16:45:40Z2012-11-13T16:45:40Z20122012-11-13The EPISEPSIS Group. Episepsis: a reappraisal of the epidemiology and outcome of severesepsis in French intensive care units. Intensive Care Med 2004;30(4):580–8.Silva E, Pedro M de A, Sogayar AC, Mohovic T, Silva CL, Janiszewski M, et al. Brazilian Sepsis Epidemiological Study (BASES study). Crit Care. 2004;8:R251-260Angus DC, Linde-Zwirble WT, Lidicker J, et al. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29:1303–1310.Levy MM, Dellinger RP, Townsend SR, et al. The surviving sepsis campaign: results of an international guideline-based performance improvement program targeting severe sepsis. Intensive Care Med 2010; 36:222–231.Knaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med 1985;13:818-29.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;100:1619-36] 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;270:2957-63.Zimmerman JE, Kramer AA, McNair DS, et al. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients. Crit Care Med 2006;34: 1297-310.)Meyer AA, Messick WJ, Young P, Baker CC, Fakhry S, Muakkassa F et al. Prospective comparison of clinical judgment and APACHE II score in predicting the outcome in critically ill surgical patients. J Trauma 1992; 32(6):747-753)Zimmerman JE, Kramer AA, McNair DS, et al. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients. Crit Care Med 2006;34: 1297-310.)Trzeciak S, Zanotti-Cavazzoni S, Parrillo JE, et al: Inclusion criteria for clinical trials insepsis: Did the American College of ChestPhysicians/Society of Critical Care Medicine consensus conference definitions of sepsishave an impact? Chest 2005; 127:242–245Vincent JL: Dear SIRS, I’m sorry to say that I don’t like you … Crit Care Med 1997; 25:372–374 13 Levy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 2003; 31:1250–1256Rello J, Rodriguez A, Lisboa T, et al: PIRO score for community-acquired pneumonia: A new prediction rule for assessment of severity in intensive care unit patients with community- acquired pneumonia. Crit Care Med 2009; 37:456–4625 Lisboa T, Diaz E, Sa-Borges M, et al: The ventilator-associated pneumonia PIRO score: A tool for predicting ICU mortality and health-care resources use in ventilator associated pneumonia. Chest 2008; 134: 1208–1216Howell M, Talmor D, Schuetz P. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327Consensus Conference Organised by the ESICM and the SRLF (1994) Predicting outcome in ICU patients. Intensive Care Med 20: 390-397Oliveros H. Predicción de la Mortalidad en UCI Principios Metodológicos. Acta Colombiana de Cuidado Intensivo. 2003 p: 34-42Terrin N, Schmid C, Griffith J, et al. External validity of predinctive models: A comparison of logistic regression, clasification trees, and neural networks. Journal of clinical Epidemiology 56 (2003) 721-729Knaus WA, Zimmerman JE, Wagner DP, et al. APACHE, acute physiology and chronic health evaluation : A physiologically based classification system. Crit Care Med 1981; 9:591-597LeGall JR, Loirat A, Alperovitch A, et al. A simplified acute physiology score for ICU patients. Crit Care Med 1984; 12:975-977Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, Sirio CA, Murphy DJ, Lotring T, Damiano A, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 1991 Dec;100(6):1619-36.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; 270:2478-2486Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/Morth American multicenter study. JAMA 1993; 270:2957-2963.Marulanda S, Caicedo JC, Agudelo J, Martínez O. APACHE II como predictor de muerte en pancreatitis aguda. Rev Colomb Cir 2000; 15: 261-266Hernández, Albeiro; Oliveros, Henry. Validez de los marcadores de severidad en la predicción de mortalidad en pancreatitis aguda Revista Med, vol. 15, núm. 001, enero, 2007, pp. 48-53. Universidad Militar Nueva Granada ColombiaJustice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999;130:515–24Harrell FE, Lee KL, Mark DB. Tutorial in biostatistics multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361–87.Steyerberg EW, Harrell FE Jr, Borsboom GJJM, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54:774–81.Terrin N. Schmid C, Griffith J, et al. External validity of predictive models: A comparison of logistic regression, clasification trees, and neural networks. 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Crit Care Med 2009; 37: 1329–1335http://hdl.handle.net/10818/3925152849TE0551423 Páginas.La sepsis posee una elevada incidencia y mortalidad, y los modelos de predicción de mortalidad han demostrado ser imprecisos. Un nuevo modelo de predisposición, infección, respuesta y disfunción orgánica (PIRO) plantea abordaje multidimensional y ha evidenciado adecuada validez interna y externa en predecir la mortalidad en el paciente séptico. Se realizó un estudio observacional de cohorte en 248 pacientes que ingresaron a la UCI con sepsis severa o choque séptico, para predecir la mortalidad a 28 días, sometiendo el puntaje PIRO a un proceso de validez externa. Se analizaron 248 pacientes a 28 días, con una mortalidad de 25.4%. El puntaje PIRO mostró un aumento progresivo en la mortalidad con el incremento del puntaje, con un área bajo la curva de 0.702 y una relación lineal entre la mortalidad esperada y la observada. En conclusión, este estudio ofrece a los paciente sépticos en estado crítico, un modelo predictivo de mortalidad con discriminación moderada y adecuada calibraciónspaUniversidad de La SabanaEspecialización en Medicina Crítica y Cuidado IntensivoFacultad de MedicinaUniversidad de La SabanaIntellectum Repositorio Universidad de La SabanaChoque séptico-InvestigacionesSepsis-InvestigacionesValidación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivobachelorThesisTesis de especializaciónpublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/access_right/c_abf2ORIGINALMario Andrés Mercado Díaz.pdfMario Andrés Mercado Díaz.pdfVer documento en PDFapplication/pdf799399https://intellectum.unisabana.edu.co/bitstream/10818/3925/1/Mario%20Andr%c3%a9s%20Mercado%20D%c3%adaz.pdfe782bd944a3248742514c9c4b5d00affMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8498https://intellectum.unisabana.edu.co/bitstream/10818/3925/2/license.txtf52a2cfd4df262e08e9b300d62c85cabMD52TEXTMario Andrés Mercado Díaz.pdf.txtMario Andrés Mercado Díaz.pdf.txtExtracted Texttext/plain37850https://intellectum.unisabana.edu.co/bitstream/10818/3925/3/Mario%20Andr%c3%a9s%20Mercado%20D%c3%adaz.pdf.txt8aa3d10a95efdb88826adbd21ea9981eMD5310818/3925oai:intellectum.unisabana.edu.co:10818/39252020-02-12 10:35:10.332Intellectum Universidad de la Sabanacontactointellectum@unisabana.edu.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

Validación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivo

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