title: Impact of Glucose Meter Error on Glycemic Variability and Time in Target Range During Glycemic Control After Cardiovascular Surgery.
abstract: BACKGROUND
  We retrospectively studied the impact of glucose meter error on the efficacy of glycemic control after cardiovascular surgery.
  
  
  METHODS
  Adult patients undergoing intravenous insulin glycemic control therapy after cardiovascular surgery, with 12-24 consecutive glucose meter measurements used to make insulin dosing decisions, had glucose values analyzed to determine glycemic variability by both standard deviation (SD) and continuous overall net glycemic action (CONGA), and percentage glucose values in target glucose range (110-150 mg/dL). Information was recorded for 70 patients during each of 2 periods, with different glucose meters used to measure glucose and dose insulin during each period but no other changes to the glycemic control protocol. Accuracy and precision of each meter were also compared using whole blood specimens from ICU patients.
  
  
  RESULTS
  Glucose meter 1 (GM1) had median bias of 11 mg/dL compared to a laboratory reference method, while glucose meter 2 (GM2) had a median bias of 1 mg/dL. GM1 and GM2 differed little in precision (CV = 2.0% and 2.7%, respectively). Compared to the period when GM1 was used to make insulin dosing decisions, patients whose insulin dose was managed by GM2 demonstrated reduced glycemic variability as measured by both SD (13.7 vs 21.6 mg/dL, P < .0001) and CONGA (13.5 vs 19.4 mg/dL, P < .0001) and increased percentage glucose values in target range (74.5 vs 66.7%, P = .002).
  
  
  CONCLUSIONS
  Decreasing glucose meter error (bias) was associated with decreased glycemic variability and increased percentage of values in target glucose range for patients placed on intravenous insulin therapy following cardiovascular surgery.
authors: Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA Karon.bradley@mayo.edu.
authors: Brad S
authors: BS
authors: Karon
authors: Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
authors: Jeffrey W
authors: JW
authors: Meeusen
authors: Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
authors: Sandra C
authors: SC
authors: Bryant
mesh_terms: D061605:Administration, Intravenous; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001786:Blood Glucose / Q000032:analysis*; D013504:Cardiovascular Surgical Procedures; D005260:Female; D006801:Humans; D006943:Hyperglycemia / Q000175:diagnosis / Q000453:epidemiology; D007003:Hypoglycemia / Q000175:diagnosis / Q000453:epidemiology; D007004:Hypoglycemic Agents / Q000008:administration & dosage; D015994:Incidence; D007328:Insulin / Q000008:administration & dosage; D007362:Intensive Care Units; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies
chemical_list: D001786:Blood Glucose; D007004:Hypoglycemic Agents; D007328:Insulin
keywords: glucose meter; glycemic control; glycemic variability; insulin therapy