License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. Lung injury prediction score (LIPS) is valuable for early recognition of ventilated patients at high risk for developing acute respiratory distress syndrome (ARDS). This study analyzes the value of LIPS in predicting ARDS and mortality among ventilated surgical patients. Methods. IRB approved, prospective observational study including all ventilated patients admitted to the surgical intensive care unit at a single tertiary center over 6 months. ARDS was defined using the Berlin criteria. LIPS were calculated for all patients and analyzed. Logistic regression models evaluated the ability of LIPS to ...
Aim of the study: To identify outcome improvement factors in ARDS patients managed with lung protect...
PURPOSE: To improve the outcome of the acute respiratory distress syndrome (ARDS), one needs to iden...
OBJECTIVES: To develop a scoring model for stratifying patients with acute respiratory distress synd...
Background. Lung injury prediction score (LIPS) is valuable for early recognition of ventilated pati...
Background and objectives Acute respiratory distress syndrome (ARDS) is a major cause respiratory fa...
Background: Acute lung injury (ALI) is an example of a critical care syndrome with few therapeutic m...
AbstractBackgroundAcute lung injury (ALI) is an example of a critical care syndrome with few therape...
) [17]. To facilitate clinical adoption of this predictionGermany Full list of author information is...
Study objective: The aim of this prospective observational study was to evaluate the utility of deri...
Introduction : Lung Injury Score(LIS) provides a quantitative method for scoring acute lung injury t...
Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care un...
Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care un...
Rationale: Accurate, early identification of patients at risk for developing acute lung injury (ALI)...
To investigate the predictive value of the acute physiology and chronic health evaluation 2 (APACHE2...
Purpose: To improve the outcome of the acute respiratory distress syndrome (ARDS), one needs to iden...
Aim of the study: To identify outcome improvement factors in ARDS patients managed with lung protect...
PURPOSE: To improve the outcome of the acute respiratory distress syndrome (ARDS), one needs to iden...
OBJECTIVES: To develop a scoring model for stratifying patients with acute respiratory distress synd...
Background. Lung injury prediction score (LIPS) is valuable for early recognition of ventilated pati...
Background and objectives Acute respiratory distress syndrome (ARDS) is a major cause respiratory fa...
Background: Acute lung injury (ALI) is an example of a critical care syndrome with few therapeutic m...
AbstractBackgroundAcute lung injury (ALI) is an example of a critical care syndrome with few therape...
) [17]. To facilitate clinical adoption of this predictionGermany Full list of author information is...
Study objective: The aim of this prospective observational study was to evaluate the utility of deri...
Introduction : Lung Injury Score(LIS) provides a quantitative method for scoring acute lung injury t...
Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care un...
Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care un...
Rationale: Accurate, early identification of patients at risk for developing acute lung injury (ALI)...
To investigate the predictive value of the acute physiology and chronic health evaluation 2 (APACHE2...
Purpose: To improve the outcome of the acute respiratory distress syndrome (ARDS), one needs to iden...
Aim of the study: To identify outcome improvement factors in ARDS patients managed with lung protect...
PURPOSE: To improve the outcome of the acute respiratory distress syndrome (ARDS), one needs to iden...
OBJECTIVES: To develop a scoring model for stratifying patients with acute respiratory distress synd...