title: Infection in the intensive care unit alters physiological networks.
abstract: BACKGROUND
  Physicians use clinical and physiological data to treat patients every day, and it is essential for treating a patient appropriately. However, medical sources of clinical physiological data are only now starting to find use in bioinformatics research.
  
  
  RESULTS
  We collected 29 types of physiological and clinical data on a minute-by-minute basis from trauma patients in the intensive care unit along with whether they contracted an infection during their stay. Dividing the patients into two groups based on this criterion, we determined that the correlational network amongst pairs of physiological variables changes based on whether the patient contracted an infection.
  
  
  CONCLUSIONS
  Examining the variable pairs with the largest change in correlation across groups reveals potential changes in the way our treatments affect the patient's physiology and in how our bodies react to physiological insults. These findings highlight the usefulness of physiological informatics and suggest new relationships to study while also validating previously reported relationships.
authors.affiliation: Department of Bioengineering, Stanford University, Stanford, California 94305, USA. agrossma@stanford.edu
authors.forename: Adam D
authors.initials: AD
authors.lastname: Grossman
authors.forename: Mitchell J
authors.initials: MJ
authors.lastname: Cohen
authors.forename: Geoffrey T
authors.initials: GT
authors.lastname: Manley
authors.forename: Atul J
authors.initials: AJ
authors.lastname: Butte
mesh_terms: D019295:Computational Biology / Q000379:methods*; D006284:Health Plan Implementation; D006801:Humans; D007239:Infections / Q000175:diagnosis / Q000378:metabolism / Q000503:physiopathology*; D007362:Intensive Care Units; D008991:Monitoring, Physiologic; D016896:Treatment Outcome