Mostrar el registro sencillo del ítem

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

dc.contributor.advisorBuitrago Bernal, Ricardo Antonio
dc.contributor.advisorOliveros Rodríguez, Henry
dc.contributor.authorMercado Díaz, Mario Andrés
dc.contributor.authorSalazar Fernández, Rómulo
dc.date.accessioned2012-11-13T16:45:40Z
dc.date.available2012-11-13T16:45:40Z
dc.date.created2012
dc.date.issued2012-11-13
dc.identifier.citationThe 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.
dc.identifier.citationSilva 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
dc.identifier.citationAngus 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.
dc.identifier.citationLevy 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.
dc.identifier.citationKnaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med 1985;13:818-29.
dc.identifier.citationKnaus 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
dc.identifier.citation] 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.
dc.identifier.citationZimmerman 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.)
dc.identifier.citationMeyer 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)
dc.identifier.citationZimmerman 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.)
dc.identifier.citationTrzeciak 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
dc.identifier.citationVincent 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
dc.identifier.citationRello 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
dc.identifier.citation5 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
dc.identifier.citationHowell M, Talmor D, Schuetz P. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327
dc.identifier.citationConsensus Conference Organised by the ESICM and the SRLF (1994) Predicting outcome in ICU patients. Intensive Care Med 20: 390-397
dc.identifier.citationOliveros H. Predicción de la Mortalidad en UCI Principios Metodológicos. Acta Colombiana de Cuidado Intensivo. 2003 p: 34-42
dc.identifier.citationTerrin 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
dc.identifier.citationKnaus 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
dc.identifier.citationLeGall JR, Loirat A, Alperovitch A, et al. A simplified acute physiology score for ICU patients. Crit Care Med 1984; 12:975-977
dc.identifier.citationKnaus 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.
dc.identifier.citationLemeshow 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
dc.identifier.citationLe 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.
dc.identifier.citationMarulanda S, Caicedo JC, Agudelo J, Martínez O. APACHE II como predictor de muerte en pancreatitis aguda. Rev Colomb Cir 2000; 15: 261-266
dc.identifier.citationHernández, 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
dc.identifier.citationJustice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999;130:515–24
dc.identifier.citationHarrell 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.
dc.identifier.citationSteyerberg 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.
dc.identifier.citationTerrin 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
dc.identifier.citationLevy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 2003; 31:1250–1256
dc.identifier.citationSchuster DP(1992) Predicting outcome after ICU admission. The art and science of assessing risk. Chest 101:1861-1870
dc.identifier.citationHosmer D W, Lemeshow S. Assessing the Fit of the Model. In: Wiley Inter-Science, editor. Applied Logistic Regression. New York: 2000: 143-299
dc.identifier.citationFrancesca 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
dc.identifier.citationMartin 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)
dc.identifier.citationBone 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
dc.identifier.citationVincent JL: Dear SIRS, I’m sorry to say that I don’t like you … Crit Care Med 1997; 25: 372–374
dc.identifier.citationMichael 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
dc.identifier.citationLe 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)
dc.identifier.citationArabi 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
dc.identifier.citationLevy MM, Fink MP, Marshall JC, et al: 2001 SCCM/ESICM/ACCP/ATS/SIS International sepsis definitions conference. Crit Care Med 2003; 31:1250–1256
dc.identifier.citationRello 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
dc.identifier.citationLisboa 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
dc.identifier.citationHowell M, Talmor D, Schuetz P. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med 2011; 39:322–327
dc.identifier.citationNguyen 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]
dc.identifier.citationArriagada 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
dc.identifier.citationGuillermo 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
dc.identifier.citationRubulotta 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
dc.identifier.urihttp://hdl.handle.net/10818/3925
dc.description23 Páginas.
dc.description.abstractLa 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 calibraciónes_CO
dc.language.isospaes_CO
dc.publisherUniversidad de La Sabana
dc.sourceUniversidad de La Sabana
dc.sourceIntellectum Repositorio Universidad de La Sabana
dc.subjectChoque séptico-Investigacioneses_CO
dc.subjectSepsis-Investigacioneses_CO
dc.titleValidación puntaje PIRO en pacientes con sepsis severa y choque séptico en cuidado intensivoes_CO
dc.typebachelorThesis
dc.publisher.programEspecialización en Medicina Crítica y Cuidado Intensivo
dc.publisher.departmentFacultad de Medicina
dc.identifier.local152849
dc.identifier.localTE05514
dc.type.localTesis de especialización
dc.type.hasVersionpublishedVersion
dc.rights.accessRightsopenAccess
dc.creator.degreeEspecialista en Medicina Crítica y Cuidado Intensivo


Ficheros en el ítem

Thumbnail
Nombre:
Mario Andrés Mercado Díaz.pdf
Tamaño:
780.6Kb
Formato:
PDF
Descripción:
Ver documento en PDF
Ver/

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem