Table S3 is a table that lists the adjusted logistic regression m

Table S3 is a table that lists the adjusted logistic regression model to evaluate the association between mean arterial blood pressure (MAP), mean vasopressor load and 28-day mortality.Click here for file(40K, DOC)NotesSee selleck 17-AAG related commentary by Jones et al., http://ccforum.com/content/14/1/102
In a previous edition of Critical Care, Shorr and colleagues developed a simple weight risk score for identifying patients with candidemia upon hospital admission [1]. Using recursive partitioning, they determined the best discriminators of Candida bloodstream infections in patients upon hospitalization (identified as a positive blood culture 1 day prior to or 2 days after admission) by retrospectively reviewing the CareFusion Outcomes Research Database, comprising 64,109 bloodstream infection cases admitted to 176 acute care hospitals from 2000 to 2005.

Three sets of models were applied (equal weight, unequal weight, and full weight with additional variables) for sensitivity analysis. The risk score was then validated using the 2006/2007 year cohort for a total of 24,685 bloodstream infections.The rate of candidemia was 1.2% of all bloodstream infections for the 5-year derivation cohort, and was 1.3% for the validation cohort. The rate was increased to 2.3% and 3.1%, respectively, for those patients with mechanical ventilation. Baseline characteristics were largely similar between both cohorts, and univariate analysis determined that the following risk factors are associated with candidemia: age ��64 years; cachexia; deranged albumin, arterial pH, and electrolytes; temperature ��98��C or fever; altered mental status; previous hospitalization within 30 days; admission from another healthcare facility; and mechanical ventilation.

Recursive partitioning revealed that the six best discriminators are age <64 years, temperature <98��C, cachexia, previous hospitalization, admission from another healthcare facility, and mechanical ventilation.In the derivation cohort, those patients with one risk factor had a rate of candidemia of 0.4% while those with all six risk factors had a rate of 27.3%. In the validation cohort, the rates of candidemia were similar through the risk factor stratification groups. The area under the receiver operating curve for the risk score was 0.70 for the derivation cohort and was 0.71 for the validation cohort.

With the model involving six risk factors, the area under the receiver operating curve was similar in Entinostat both cohorts. Finally, the area under the receiver operating curve for the model with 16 risk factors was associated with a slightly higher discrimination in both cohorts; but on recalibration with the validation cohort, seven risk variables were deemed poor discriminators – thus suggesting that additional factors did not improve the risk model during validation.

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