Journal of critical care
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Journal of critical care · Jun 2018
Multicenter StudyImpact of physician-less pediatric critical care transport: Making a decision on team composition.
To explore the impact of a physician non-accompanying pediatric critical care transport program, and to identify factors associated with the selection of specific transport team compositions. ⋯ No significant differences were observed with increasing use of a physician non-accompanying team. Selection of transport team compositions was influenced by clinical and system factors, but appreciable variation still remained among triage physicians.
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Journal of critical care · Jun 2018
Early nutritional inadequacy is associated with psoas muscle deterioration and worse clinical outcomes in critically ill surgical patients.
To explore whether psoas cross sectional area (CSA) and density (Hounsfield Units, HU) are associated with nutritional adequacy and clinical outcomes in surgical intensive care unit patients. ⋯ In this exploratory study, early nutritional deficits were correlated with muscle quality deterioration. Inpatient gain in psoas density, compared to maintenance or loss, is associated with shorter hospital stay.
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Journal of critical care · Jun 2018
Observational StudyInfluence of ward round order on critically ill patient outcomes.
To examine the effect of order in which patients are seen on an Intensive Care Unit (ICU) ward round on ICU length of stay (LOS), mortality and duration of mechanical ventilation. ⋯ The order in which patients were seen on an ICU ward did not affect ICU LOS nor related outcomes.
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Journal of critical care · Jun 2018
Cirrhotic patients admitted to the ICU for medical reasons: Analysis of 5506 patients admitted to 286 ICUs in 8years.
To describe characteristics and prognostic factors of cirrhotic patients admitted to a representative sample of Italian intensive care units (ICUs). ⋯ The outcome of critically ill cirrhotic patients is quite poor, but not to limit their admission to the ICU. When cirrhosis accompanies other acute conditions, the general level of intensive care medicine is more important than the specific liver-oriented expertise in treating these patients.
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Journal of critical care · Jun 2018
Predicting central line-associated bloodstream infections and mortality using supervised machine learning.
The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI). ⋯ This study demonstrates models for identifying patients who will develop CLABSI. Early identification of these patients has implications for quality, cost, and outcome improvements.