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Patterns and early evolution of organ failure in the intensive care unit and their relation to outcome

Critical care (London, England), 2012-11, Vol.16 (6), p.R222-R222

2012

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Hospital mortality of adults admitted to Intensive Care Units in hospitals with and without Intermediate Care Units: a multicentre European cohort study

Critical care (London, England), 2014-10, Vol.18 (5), p.551-551, Article 551

2014

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Acute kidney injury in critically ill patients classified by AKIN versus RIFLE using the SAPS 3 database

Intensive care medicine, 2009-10, Vol.35 (10), p.1692-1702

2009

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Management and outcome of mechanically ventilated patients after cardiac arrest

Critical care (London, England), 2015-05, Vol.19 (1), p.215-215, Article 215

2015

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SAPS 3-From evaluation of the patient to evaluation of the intensive care unit. Part 1. Objectives, methods and cohort description

Intensive care medicine, 2005-10, Vol.31 (10), p.1336-1344

2005

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Sepsis mortality prediction based on predisposition, infection and response

Intensive care medicine, 2008-03, Vol.34 (3), p.496-504

2008

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Sepsis without borders

Intensive care medicine, 2014-02, Vol.40 (2), p.272-274

2014

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Does dopamine administration in shock influence outcome? Results of the Sepsis Occurrence in Acutely Ill Patients (SOAP) Study

Critical care medicine, 2006-03, Vol.34 (3), p.589-597

2006

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Evolution of Mortality over Time in Patients Receiving Mechanical Ventilation

American journal of respiratory and critical care medicine, 2013-07, Vol.188 (2), p.220-230

2013

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Patient safety in intensive care : results from the multinational Sentinel Events Evaluation (SEE) study

Intensive care medicine, 2006-10, Vol.32 (10), p.1591-1598

2006

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Management of the critically ill patient with severe acute pancreatitis

Critical care medicine, 2004-12, Vol.32 (12), p.2524-2536

2004

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Epidemiology of Mechanical Ventilation: Analysis of the SAPS 3 Database

Intensive care medicine, 2009-05, Vol.35 (5), p.816-825

2009

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Outcome prediction in critical care: the Simplified Acute Physiology Score models

Current opinion in critical care, 2008-10, Vol.14 (5), p.485-490

2008

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Prediction and Outcome of Intensive Care Unit-Acquired Paresis

Journal of intensive care medicine, 2018-01, Vol.33 (1), p.16-28

2018

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Nonelective surgery at night and in-hospital mortality: Prospective observational data from the European Surgical Outcomes Study

European journal of anaesthesiology, 2015-07, Vol.32 (7), p.477-485

2015

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Influence of Systemic Inflammatory Response Syndrome and Sepsis on Outcome of Critically Ill Infected Patients

American journal of respiratory and critical care medicine, 2003-07, Vol.168 (1), p.77-84

2003

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An Assessment of the Acute Kidney Injury Network Creatinine-Based Criteria in Patients Submitted to Mechanical Ventilation

Clinical journal of the American Society of Nephrology, 2011-07, Vol.6 (7), p.1547-1555

2011

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The Epidemiology of Acute Respiratory Failure in Critically Ill Patients

Chest, 2002-05, Vol.121 (5), p.1602-1609

2002

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Use of the sequential organ failure: Assessment score as a severity score

Intensive care medicine, 2005-02, Vol.31 (2), p.243-249

2005

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Characterizing the risk profiles of intensive care units

Intensive care medicine, 2010-07, Vol.36 (7), p.1207-1212

2010

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Predictors of early recovery of health status after intensive care

Intensive care medicine, 2006-11, Vol.32 (11), p.1832-1838

2006

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Sepsis and organ system failure are major determinants of post–intensive care unit mortality

Journal of critical care, 2008-12, Vol.23 (4), p.475-483

2008

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Patterns and early evolution of organ failure in the intensive care unit and their relation to outcome

Hospital mortality of adults admitted to Intensive Care Units in hospitals with and without Intermediate Care Units: a multicentre European cohort study

Severe hypercapnia and outcome of mechanically ventilated patients with moderate or severe acute respiratory distress syndrome

Acute kidney injury in critically ill patients classified by AKIN versus RIFLE using the SAPS 3 database

Management and outcome of mechanically ventilated patients after cardiac arrest

SAPS 3-From evaluation of the patient to evaluation of the intensive care unit. Part 1. Objectives, methods and cohort description

Sepsis mortality prediction based on predisposition, infection and response

Sepsis without borders

Does dopamine administration in shock influence outcome? Results of the Sepsis Occurrence in Acutely Ill Patients (SOAP) Study

Evolution of Mortality over Time in Patients Receiving Mechanical Ventilation

Patient safety in intensive care : results from the multinational Sentinel Events Evaluation (SEE) study

Association between ventilatory settings and development of acute respiratory distress syndrome in mechanically ventilated patients due to brain injury

Management of the critically ill patient with severe acute pancreatitis

Epidemiology of Mechanical Ventilation: Analysis of the SAPS 3 Database

Impact of sedation and analgesia during noninvasive positive pressure ventilation on outcome: a marginal structural model causal analysis

Outcome prediction in critical care: the Simplified Acute Physiology Score models

Prediction and Outcome of Intensive Care Unit-Acquired Paresis

Nonelective surgery at night and in-hospital mortality: Prospective observational data from the European Surgical Outcomes Study

Influence of Systemic Inflammatory Response Syndrome and Sepsis on Outcome of Critically Ill Infected Patients

An Assessment of the Acute Kidney Injury Network Creatinine-Based Criteria in Patients Submitted to Mechanical Ventilation

The Epidemiology of Acute Respiratory Failure in Critically Ill Patients

Use of the sequential organ failure: Assessment score as a severity score

Characterizing the risk profiles of intensive care units

Predictors of early recovery of health status after intensive care

Sepsis and organ system failure are major determinants of post–intensive care unit mortality

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