title: Individuals achieve more accurate results with meters that are codeless and employ dynamic electrochemistry.
abstract: BACKGROUND
  Studies have shown that controlling blood glucose can reduce the onset and progression of the long-term microvascular and neuropathic complications associated with the chronic course of diabetes mellitus. Improved glycemic control can be achieved by frequent testing combined with changes in medication, exercise, and diet. Technological advancements have enabled improvements in analytical accuracy of meters, and this paper explores two such parameters to which that accuracy can be attributed.
  
  
  METHODS
  Four blood glucose monitoring systems (with or without dynamic electrochemistry algorithms, codeless or requiring coding prior to testing) were evaluated and compared with respect to their accuracy.
  
  
  RESULTS
  Altogether, 108 blood glucose values were obtained for each system from 54 study participants and compared with the reference values. The analysis depicted in the International Organization for Standardization table format indicates that the devices with dynamic electrochemistry and the codeless feature had the highest proportion of acceptable results overall (System A, 101/103). Results were significant when compared at the 10% bias level with meters that were codeless and utilized static electrochemistry (p = .017) or systems that had static electrochemistry but needed coding (p = .008).
  
  
  CONCLUSIONS
  Analytical performance of these blood glucose meters differed significantly depending on their technologic features. Meters that utilized dynamic electrochemistry and did not require coding were more accurate than meters that used static electrochemistry or required coding.
authors.affiliation: AgaMatrix Inc, Salem, New Hampshire, USA.
authors.forename: Anoop
authors.initials: A
authors.lastname: Rao
authors.forename: Meg
authors.initials: M
authors.lastname: Wiley
authors.forename: Sridhar
authors.initials: S
authors.lastname: Iyengar
authors.forename: Dan
authors.initials: D
authors.lastname: Nadeau
authors.forename: Julie
authors.initials: J
authors.lastname: Carnevale
mesh_terms: D015374:Biosensing Techniques / Q000295:instrumentation / Q000592:standards; D001786:Blood Glucose / Q000032:analysis; D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation* / Q000592:standards*; D002138:Calibration; D003920:Diabetes Mellitus / Q000097:blood / Q000188:drug therapy; D004563:Electrochemistry / Q000295:instrumentation / Q000379:methods; D001330:Electronic Data Processing; D005260:Female; D006801:Humans; D007004:Hypoglycemic Agents / Q000008:administration & dosage; D007328:Insulin / Q000008:administration & dosage; D007700:Kinetics; D008297:Male; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000592:standards; D012016:Reference Values; D015203:Reproducibility of Results
chemical_list: D001786:Blood Glucose; D007004:Hypoglycemic Agents; D007328:Insulin