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SAPS 3-from evaluation of the patient to evaluation of the intensive care unit. Part 2. Development of a prognostic model for hospital mortality at ICU admission

Intensive care medicine, 2005-10, Vol.31 (10), p.1345-1355

2005

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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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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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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 medicine: the Declaration of Vienna

Intensive care medicine, 2009-10, Vol.35 (10), p.1667-1672

2009

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Evaluation and calibration of SAPS 3 in patients with COVID-19 admitted to intensive care units

Intensive care medicine, 2021-08, Vol.47 (8), p.910-912

2021

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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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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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Hemodynamic monitoring in shock and implications for management. International Consensus Conference, Paris, France, 27-28 April 2006

Intensive care medicine, 2007-04, Vol.33 (4), p.575-590

2007

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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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Admission and discharge of critically ill patients

Current opinion in critical care, 2010-10, Vol.16 (5), p.499-504

2010

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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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The Richmond Agitation-Sedation Scale Should Not Be Used to Evaluate Neurologic Function

Critical care medicine, 2016-06, Vol.44 (6), p.e450-e450

2016

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Sepsis without borders

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

2014

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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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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 intensive care: why we need to reinvent the wheel

Current opinion in critical care, 2008-10, Vol.14 (5), p.483-484

Moreno, Rui P

2008

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Erratum to: Sepsis without borders

Intensive care medicine, 2014-02, Vol.40 (2), p.303-303

2014

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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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Variability in outcome and resource use in intensive care units

Intensive care medicine, 2007-08, Vol.33 (8), p.1329-1336

2007

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ICU structures and organization: putting together all the pieces of a very complex puzzle

Intensive care medicine, 2011-10, Vol.37 (10), p.1569-1571

2011

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SAPS 3-from evaluation of the patient to evaluation of the intensive care unit. Part 2. Development of a prognostic model for hospital mortality at ICU admission

Management and outcome of mechanically ventilated patients after cardiac arrest

Sepsis mortality prediction based on predisposition, infection and response

Evolution of Mortality over Time in Patients Receiving Mechanical Ventilation

Patient safety in intensive care medicine: the Declaration of Vienna

Evaluation and calibration of SAPS 3 in patients with COVID-19 admitted to intensive care units

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

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

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

Hemodynamic monitoring in shock and implications for management. International Consensus Conference, Paris, France, 27-28 April 2006

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

Admission and discharge of critically ill patients

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

The Richmond Agitation-Sedation Scale Should Not Be Used to Evaluate Neurologic Function

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

Sepsis without borders

Predictors of early recovery of health status after intensive care

Management of the critically ill patient with severe acute pancreatitis

Epidemiology of Mechanical Ventilation: Analysis of the SAPS 3 Database

Outcome prediction in intensive care: why we need to reinvent the wheel

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

Erratum to: Sepsis without borders

Prediction and Outcome of Intensive Care Unit-Acquired Paresis

Variability in outcome and resource use in intensive care units

ICU structures and organization: putting together all the pieces of a very complex puzzle

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