Describing organ dysfunction in the intensive care unit: a cohort study of 20,000 patients
暂无分享,去创建一个
C. Doig | G. Fick | H. Stelfox | A. Soo | D. Zuege | D. Niven | Luc R Berthiaume | Luc R. Berthiaume
[1] A. Baue. Multiple, progressive, or sequential systems failure. A syndrome of the 1970s. , 1975, Archives of surgery.
[2] J. Marshall,et al. Multiple-organ-failure syndrome. , 1986, Archives of surgery.
[3] E. DeLong,et al. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.
[4] R. Prentice. Surrogate endpoints in clinical trials: definition and operational criteria. , 1989, Statistics in medicine.
[5] J. Ward,et al. Statistical analysis of the stages of HIV infection using a Markov model. , 1989, Statistics in medicine.
[6] M. Fink,et al. Multiple Organ Failure Syndrome—Part I: Epidemiology, Prognosis, and Pathophysiology , 1991 .
[7] E. Deitch,et al. Multiple organ failure. Pathophysiology and potential future therapy. , 1992, Annals of surgery.
[8] C. Sprung,et al. Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome. , 1995, Critical care medicine.
[9] J. Vincent,et al. Yearbook of Intensive Care and Emergency Medicine , 1995, Yearbook of Intensive Care and Emergency Medicine.
[10] Corinne Alberti,et al. The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group. , 1996, JAMA.
[11] S Lemeshow,et al. The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group. , 1996, JAMA.
[12] A. Baue. Multiple organ failure, multiple organ dysfunction syndrome, and systemic inflammatory response syndrome. Why no magic bullets? , 1997, Archives of surgery.
[13] J. Marshall. Organ dysfunction as an outcome measure in clinical trials. , 1999, The European journal of surgery. Supplement. : = Acta chirurgica. Supplement.
[14] C. Sprung,et al. The use of maximum SOFA score to quantify organ dysfunction/failure in intensive care. Results of a prospective, multicentre study , 1999, Intensive Care Medicine.
[15] P Wright,et al. Changing pattern of organ dysfunction in early human sepsis is related to mortality , 2000, Critical care medicine.
[16] M. Singer,et al. Multi-Organ Dysfunction in the Critically Ill: Epidemiology, Pathophysiology and Management , 2000, Journal of the Royal College of Physicians of London.
[17] A. Seely,et al. Multiple organ dysfunction syndrome: Exploring the paradigm of complex nonlinear systems , 2000, Critical care medicine.
[18] J. Vincent,et al. Serial evaluation of the SOFA score to predict outcome in critically ill patients. , 2001, JAMA.
[19] Measuring Organ Dysfunction , 2002 .
[20] G. Rubenfeld. Surrogate Measures of Patient-centered Outcomes in Critical Care , 2003 .
[21] D. Menon,et al. Non-neurological organ dysfunction in neurocritical care. , 2003, Journal of critical care.
[22] J. Vincent. Endpoints in sepsis trials: More than just 28-day mortality? , 2004, Critical care medicine.
[23] C. Doig,et al. Study of clinical course of organ dysfunction in intensive care , 2004, Critical care medicine.
[24] Thomas Lengauer,et al. ROCR: visualizing classifier performance in R , 2005, Bioinform..
[25] J. Vincent,et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure , 1996, Intensive Care Medicine.
[26] Kevin B Laupland,et al. Neuroanesthesia and Intensive Care Limited ability of SOFA and MOD scores to discriminate outcome: a prospective evaluation in 1,436 patients , 2005, Canadian journal of anaesthesia = Journal canadien d'anesthesie.
[27] C. Doig,et al. Non-neurologic organ dysfunction in severe traumatic brain injury* , 2005, Critical care medicine.
[28] J. Solsona,et al. Multicenter study of the multiple organ dysfunction syndrome in intensive care units: the usefulness of Sequential Organ Failure Assessment scores in decision making , 2005, Intensive Care Medicine.
[29] Søren Højsgaard,et al. The R Package geepack for Generalized Estimating Equations , 2005 .
[30] K. Laupland,et al. Limites de la capacité discriminatoire des scores de SOFA et de DMV : une évaluation prospective chez 1 436 patients , 2005 .
[31] T. Cook,et al. Development of a triage protocol for critical care during an influenza pandemic , 2006, Canadian Medical Association Journal.
[32] A. Baue. MOF, MODS, and SIRS: what is in a name or an acronym? , 2006, Shock.
[33] C. Doig,et al. SOFA is superior to MOD score for the determination of non-neurologic organ dysfunction in patients with severe traumatic brain injury: a cohort study , 2006, Critical care.
[34] N. Matsuda,et al. Systemic inflammatory response syndrome (SIRS): molecular pathophysiology and gene therapy. , 2006, Journal of pharmacological sciences.
[35] A. Abu-Hanna,et al. Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review , 2008, Critical care.
[36] J. Hulme,et al. An assessment of the validity of SOFA score based triage in H1N1 critically ill patients during an influenza pandemic , 2009, Anaesthesia.
[37] Xavier Robin,et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves , 2011, BMC Bioinformatics.
[38] J. Marshall,et al. Critical illness is an iatrogenic disorder , 2010, Critical care medicine.
[39] C. Sprung,et al. Recommendations for intensive care unit and hospital preparations for an influenza epidemic or mass disaster: summary report of the European Society of Intensive Care Medicine’s Task Force for intensive care unit triage during an influenza epidemic or mass disaster , 2010, Intensive Care Medicine.
[40] T. Matsuo,et al. Serial evaluation of SOFA score in a Brazilian teaching hospital. , 2010, Intensive & critical care nursing.
[41] C. Doig,et al. Sequential Organ Failure Assessment in H1N1 pandemic planning* , 2011, Critical care medicine.
[42] A. Badreldin,et al. Daily-Mean-SOFA, a New Derivative to Increase Accuracy of Mortality Prediction in Cardiac Surgical Intensive Care Units , 2012, Thoracic and Cardiovascular Surgeon.
[43] C. Doig,et al. Incidence of neurologic death among patients with brain injury: a cohort study in a Canadian health region , 2013, Canadian Medical Association Journal.
[44] Samuel M. Brown,et al. Glasgow Coma Scale score dominates the association between admission Sequential Organ Failure Assessment score and 30-day mortality in a mixed intensive care unit population. , 2014, Journal of critical care.
[45] Ileana Baldi,et al. Dynamic Bayesian Networks to predict sequences of organ failures in patients admitted to ICU , 2014, J. Biomed. Informatics.
[46] Jesse B. Hall,et al. Power and Limitations of Daily Prognostications of Death in the Medical ICU for Outcomes in the Following 6 Months* , 2014, Critical care medicine.
[47] Survival in fully manifest multiple organ dysfunction syndrome. , 2014, Surgical infections.
[48] Mu-Chun Su,et al. Prediction of survival of ICU patients using computational intelligence , 2014, Comput. Biol. Medicine.
[49] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[50] Survival in fully manifest multiple organ dysfunction syndrome. , 2014 .
[51] W. Chung,et al. Consideration of additional factors in Sequential Organ Failure Assessment score. , 2014, Journal of critical care.
[52] Predicting death and disability, is it really possible? A medical ICU prognostication model study. , 2014, Critical care medicine.
[53] J. Keilwagen,et al. Area under Precision-Recall Curves for Weighted and Unweighted Data , 2014, PloS one.
[54] Filip De Turck,et al. Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores , 2015, Artif. Intell. Medicine.
[55] R. Kanter,et al. Would triage predictors perform better than first-come, first-served in pandemic ventilator allocation? , 2015, Chest.
[56] Jens Keilwagen,et al. PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R , 2015, Bioinform..
[57] A. Pavlovic,et al. Scoring Systems in Assessing Survival of Critically Ill ICU Patients , 2015, Medical science monitor : international medical journal of experimental and clinical research.
[58] B. Scheller,et al. Individual Organ Failure and Concomitant Risk of Mortality Differs According to the Type of Admission to ICU – A Retrospective Study of SOFA Score of 23,795 Patients , 2015, PloS one.
[59] J. Vincent,et al. SOFA and mortality endpoints in randomized controlled trials: a systematic review and meta-regression analysis , 2017, Critical Care.
[60] David J Murphy,et al. Serial Daily Organ Failure Assessment Beyond ICU Day 5 Does Not Independently Add Precision to ICU Risk-of-Death Prediction , 2017, Critical care medicine.
[61] J. D. Young,et al. Defining multiple organ failure after major trauma: A comparison of the Denver, Sequential Organ Failure Assessment, and Marshall scoring systems , 2017, The journal of trauma and acute care surgery.
[62] S. Bagshaw,et al. Secondary EMR data for quality improvement and research: A comparison of manual and electronic data collection from an integrated critical care electronic medical record system , 2018, Journal of critical care.
[63] Omar Badawi,et al. Evaluation of ICU Risk Models Adapted for Use as Continuous Markers of Severity of Illness Throughout the ICU Stay* , 2018, Critical care medicine.