Circulating intercellular adhesion molecule-1 as an early predictor of hepatic failure in @entity1 with XXXX .

@entity1 @entity650 @entity295 @entity326 @entity648 @entity409 @entity1196 @entity4105 @entity8729 @entity881 @entity2071
OBJECTIVE: To investigate whether endotoxin, @entity650 , and circulating adhesion molecules, measured sequentially in blood, can predict mortality and @entity881 in @entity295 . DESIGN: Inception cohort study with follow-up for 28 days. SETTING: Surgical intensive care unit at a university hospital. @entity1 : A total of 14 consecutive @entity1 were enrolled in the study within the first 24 hrs after onset of @entity326 . Seven healthy subjects were studied as controls. INTERVENTIONS: @entity1 were analyzed for mortality and development of @entity881 . MEASUREMENTS AND MAIN RESULTS: At the end of the 28-day follow-up period, seven of the @entity1 were still alive (survivors) but the other seven (nonsurvivors) had died. At the time of enrollment in the study (day 0), the Acute Physiology and Chronic Health Evaluation II score was 28.4 in survivors (n = 7) and 28.7 in nonsurvivors (n = 7). In contrast, circulating intercellular adhesion molecule-1 ( @entity2071 ) was significantly higher in nonsurvivors than in survivors. Circulating @entity2071 predicted mortality in @entity1 with @entity326 with a sensitivity and a specificity of 71.4% each. Endotoxin, @entity650 , circulating @entity1196 , @entity8729 , @entity4105 , and platelet endothelial cell adhesion molecule-1, however, did not distinguish between survivors and nonsurvivors. In addition, circulating @entity2071 at day 0 showed a significant correlation with the highest serum @entity648 observed during the entire study period (r2 = 0.963). CONCLUSIONS: Because only circulating @entity2071 was higher in nonsurvivors than in survivors at day 0, circulating @entity2071 may serve as an early prognostic marker for outcome in @entity326 . In addition, measurement of circulating @entity2071 facilitates identification of those @entity1 with the highest risk of developing @entity409 .
