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      Procalcitonin increase in early identification of critically ill patients at high risk of mortality.

      Critical Care Medicine
      Adolescent, Adult, Aged, Aged, 80 and over, Biological Markers, metabolism, C-Reactive Protein, Calcitonin, blood, Child, Child, Preschool, Critical Illness, mortality, Denmark, epidemiology, Female, Humans, Infant, Leukocyte Count, Male, Middle Aged, Multiple Organ Failure, prevention & control, Multivariate Analysis, Prognosis, Proportional Hazards Models, Prospective Studies, Protein Precursors, Sensitivity and Specificity, Sepsis, Survival Analysis

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          Abstract

          To investigate day-by-day changes in procalcitonin and maximum obtained levels as predictors of mortality in critically ill patients. Prospective observational cohort study. : Multidisciplinary intensive care unit at Rigshospitalet, Copenhagen University Hospital, a tertiary reference hospital in Denmark. Four hundred seventy-two patients with diverse comorbidity and age admitted to this intensive care unit. Equal in all patient groups: antimicrobial treatment adjusted according to the procalcitonin level. Daily procalcitonin measurements were carried out during the study period as well as measurements of white blood cell count and C-reactive protein and registration of comorbidity. The primary end point was all-cause mortality in a 90-day follow-up period. Secondary end points were mortality during the stay in the intensive care unit and in a 30-day follow-up period. A total of 3,642 procalcitonin measurements were evaluated in 472 critically ill patients. We found that a high maximum procalcitonin level and a procalcitonin increase for 1 day were independent predictors of 90-day all-cause mortality in the multivariate Cox regression analysis model. C-reactive protein and leukocyte increases did not show these qualities. The adjusted hazard ratio for procalcitonin increase for 1 day was 1.8 (95% confidence interval 1.3-2.7). The relative risk for mortality in the intensive care unit for patients with an increasing procalcitonin was as follows: after 1 day increase, 1.8 (95% confidence interval 1.4-2.4); after 2 days increase, 2.2 (95% confidence interval 1.6-3.0); and after 3 days increase: 2.8 (95% confidence interval 2.0-3.8). A high maximum procalcitonin level and a procalcitonin increase for 1 day are early independent predictors of all-cause mortality in a 90-day follow-up period after intensive care unit admission. Mortality risk increases for every day that procalcitonin increases. Levels or increases of C-reactive protein and white blood cell count do not seem to predict mortality.

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