Background: Several acute illness severity scores have been proposed for evaluating patients on admission to intensive care units but these have not been compared for patients with nosocomial bloodstream infection (nBSI). We compared three severity of illness scoring systems for predicting mortality in patients with nBSI due to Pseudomonas aeruginosa.Methods: We performed a historical cohort study on 63 adults in intensive care units with P. aeruginosa monomicrobial nBSI.Results: the Acute Physiology, Age, Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and Simplified Acute Physiologic Score (SAPS II), were calculated daily from 2 days prior through 2 days after the first positive blood culture. Calcula...
BackgroundAcinetobacter baumannii has emerged as an important pathogen of nosocomial infection. The ...
The severity of Pseudomonas aeruginosa (PA) infection may be determined by the interaction with the ...
BACKGROUND: Scoring systems in critical care patients are essential for predicting of the patient ...
Background Several acute illness severity scores have been proposed for evaluating patients on admis...
Abstract Background Several acute illness severity scores have been proposed for evaluating patients...
Background Some studies of nosocomial bloodstream infection (nBSI) have demonstrated a higher mortal...
ABSTRACT The impact of bacterial species on outcome in bloodstream infections (BSI) is incompletely ...
Objectives: To evaluate relationships between the inflammatory response, clinical. course, and outco...
Community-onset bloodstream infections (CO-BSI) caused by gram-negative bacilli are common and assoc...
ObjectiveTo define risk factors significantly and independently associated with Pseudomonas aerugino...
Community-onset bloodstream infections (CO-BSI) caused by gram-negative bacilli are common and assoc...
Pseudomonas aeruginosa is mostly a nosocomial pathogen affecting predisposed patients. However, comm...
AbstractSeverity of illness scoring systems are useful for decisions on the management of patients w...
All patients (n = 1,745) with nosocomial bloodstream infection identified between 1986 and 1991 at a...
This study aimed to evaluate risk factors for 30-day mortality among hospitalised patients with Pseu...
BackgroundAcinetobacter baumannii has emerged as an important pathogen of nosocomial infection. The ...
The severity of Pseudomonas aeruginosa (PA) infection may be determined by the interaction with the ...
BACKGROUND: Scoring systems in critical care patients are essential for predicting of the patient ...
Background Several acute illness severity scores have been proposed for evaluating patients on admis...
Abstract Background Several acute illness severity scores have been proposed for evaluating patients...
Background Some studies of nosocomial bloodstream infection (nBSI) have demonstrated a higher mortal...
ABSTRACT The impact of bacterial species on outcome in bloodstream infections (BSI) is incompletely ...
Objectives: To evaluate relationships between the inflammatory response, clinical. course, and outco...
Community-onset bloodstream infections (CO-BSI) caused by gram-negative bacilli are common and assoc...
ObjectiveTo define risk factors significantly and independently associated with Pseudomonas aerugino...
Community-onset bloodstream infections (CO-BSI) caused by gram-negative bacilli are common and assoc...
Pseudomonas aeruginosa is mostly a nosocomial pathogen affecting predisposed patients. However, comm...
AbstractSeverity of illness scoring systems are useful for decisions on the management of patients w...
All patients (n = 1,745) with nosocomial bloodstream infection identified between 1986 and 1991 at a...
This study aimed to evaluate risk factors for 30-day mortality among hospitalised patients with Pseu...
BackgroundAcinetobacter baumannii has emerged as an important pathogen of nosocomial infection. The ...
The severity of Pseudomonas aeruginosa (PA) infection may be determined by the interaction with the ...
BACKGROUND: Scoring systems in critical care patients are essential for predicting of the patient ...