title: Use of the DirecNet Applied Treatment Algorithm (DATA) for diabetes management with a real-time continuous glucose monitor (the FreeStyle Navigator).
abstract: BACKGROUND
  There are no published guidelines for use of real-time continuous glucose monitoring data by a patient; we therefore developed the DirecNet Applied Treatment Algorithm (DATA). The DATA provides algorithms for making diabetes management decisions using glucose values: (i) in real time which include the direction and rate of change of glucose levels, and (ii) retrospectively based on downloaded sensor data.
  
  
  OBJECTIVE
  To evaluate the use and effectiveness of the DATA in children with diabetes using a real-time continuous glucose sensor (the FreeStyle Navigator).
  
  
  METHODS
  Thirty children and adolescents (mean +/- standard deviation age = 11.2 +/- 4.1 yr) receiving insulin pump therapy.
  
  
  METHODS
  Subjects were instructed on use of the DATA and were asked to download their Navigator weekly to review glucose patterns. An Algorithm Satisfaction Questionnaire was completed at 3, 7, and 13 wk.
  
  
  RESULTS
  At 13 wk, all of the subjects and all but one parent thought that the DATA gave good, clear directions for insulin dosing, and thought the guidelines improved their postprandial glucose levels. In responding to alarms, 86% of patients used the DATA at least 50% of the time at 3 wk, and 59% reported doing so at 13 wk. Similar results were seen in using the DATA to adjust premeal bolus doses of insulin.
  
  
  CONCLUSIONS
  These results show the feasibility of implementing the DATA when real-time continuous glucose monitoring is initiated and support its use in future clinical trials of real-time continuous glucose monitoring.
authors.forename: Bruce
authors.initials: B
authors.lastname: Buckingham
authors.forename: Dongyuan
authors.initials: D
authors.lastname: Xing
authors.forename: Stu
authors.initials: S
authors.lastname: Weinzimer
authors.forename: Rosanna
authors.initials: R
authors.lastname: Fiallo-Scharer
authors.forename: Craig
authors.initials: C
authors.lastname: Kollman
authors.forename: Nelly
authors.initials: N
authors.lastname: Mauras
authors.forename: Eva
authors.initials: E
authors.lastname: Tsalikian
authors.forename: William
authors.initials: W
authors.lastname: Tamborlane
authors.forename: Tim
authors.initials: T
authors.lastname: Wysocki
authors.forename: Katrina
authors.initials: K
authors.lastname: Ruedy
authors.forename: Roy
authors.initials: R
authors.lastname: Beck
mesh_terms: D000293:Adolescent; D000465:Algorithms; D001786:Blood Glucose / Q000032:analysis* / Q000378:metabolism; D002648:Child; D003199:Computer Systems; D003920:Diabetes Mellitus / Q000097:blood / Q000188:drug therapy / Q000628:therapy*; D005240:Feasibility Studies; D006801:Humans; D007332:Insulin Infusion Systems; D018670:Monitoring, Ambulatory / Q000379:methods; D008991:Monitoring, Physiologic / Q000379:methods*; D017060:Patient Satisfaction
chemical_list: D001786:Blood Glucose