Please be advised that this information was generated on 2016-02-21 and may be subject to change. We read with interest the article by van den Boogaard and colleagues, which proposed that delirium measured within 24 hours of admission did not improve the Acute Physiology and Chronic Health Evaluation (APACHE) II in-hospital mortality prediction [1]. Th eir data should be interpreted after considering the study design and statistical limitations. First, the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) measurements include assessing the level of con scious ness (using any valid sedation scale), which is highly correlated with the Glasgow Coma Score. Th erefore it is not surprising that addition of delirium to the APACHE s...
Background: Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficien...
Background: Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficien...
OBJECTIVES: To develop and validate a delirium prediction model for adult intensive care patients an...
INTRODUCTION: Predictive models, such as acute physiology and chronic health evaluation II (APACHE-I...
Predictive models, such as acute physiology and chronic health evaluation II (APACHE-II), are widely...
Introduction: predictive models, such as acute physiology and chronic health evaluation II (APACHE-I...
It may be true (but confirmation is required) that adding delirium to a measurement such as the APAC...
Item does not contain fulltextPURPOSE: Recalibration and determining discriminative power, internati...
CONTEXT: In the intensive care unit (ICU), delirium is a common yet underdiagnosed form of organ dys...
Objective: To determine the attributable mortality caused by delirium in critically ill patients. De...
Item does not contain fulltextOBJECTIVES: To develop and validate a delirium prediction model for ad...
Purpose We hypothesized that reduced arousability (Richmond Agitation Sedation Scale, RASS, scores ...
Importance:. Delirium severity has been associated with a higher risk of mortality and an increasing...
Objective: Delirium is frequently seen in intensive care patients and causes prolongation of mechani...
Background: Critical care patients with delirium are at an increased risk of functional decline and ...
Background: Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficien...
Background: Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficien...
OBJECTIVES: To develop and validate a delirium prediction model for adult intensive care patients an...
INTRODUCTION: Predictive models, such as acute physiology and chronic health evaluation II (APACHE-I...
Predictive models, such as acute physiology and chronic health evaluation II (APACHE-II), are widely...
Introduction: predictive models, such as acute physiology and chronic health evaluation II (APACHE-I...
It may be true (but confirmation is required) that adding delirium to a measurement such as the APAC...
Item does not contain fulltextPURPOSE: Recalibration and determining discriminative power, internati...
CONTEXT: In the intensive care unit (ICU), delirium is a common yet underdiagnosed form of organ dys...
Objective: To determine the attributable mortality caused by delirium in critically ill patients. De...
Item does not contain fulltextOBJECTIVES: To develop and validate a delirium prediction model for ad...
Purpose We hypothesized that reduced arousability (Richmond Agitation Sedation Scale, RASS, scores ...
Importance:. Delirium severity has been associated with a higher risk of mortality and an increasing...
Objective: Delirium is frequently seen in intensive care patients and causes prolongation of mechani...
Background: Critical care patients with delirium are at an increased risk of functional decline and ...
Background: Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficien...
Background: Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficien...
OBJECTIVES: To develop and validate a delirium prediction model for adult intensive care patients an...