Accuracy and precision of four value-added blood glucose meters: the Abbott Optium, the DDI Prodigy, the HDI True Track, and the HypoGuard Assure Pro.
OBJECTIVE
This study compared the accuracy and precision of four value-added glucose meters.


METHODS
Finger stick glucose measurements in diabetes patients were performed using the Abbott Diabetes Care (Alameda, CA) Optium, Diagnostic Devices, Inc. (Miami, FL) DDI Prodigy, Home Diagnostics, Inc. (Fort Lauderdale, FL) HDI True Track Smart System, and Arkray, USA (Minneapolis, MN) HypoGuard Assure Pro. Finger glucose measurements were compared with laboratory reference results. Accuracy was assessed by a Clarke error grid analysis (EGA), a Parkes EGA, and within 5%, 10%, 15%, and 20% of the laboratory value criteria (chi2 analysis). Meter precision was determined by calculating absolute mean differences in glucose values between duplicate samples (Kruskal-Wallis test).


RESULTS
Finger sticks were obtained from 125 diabetes patients, of which 90.4% were Caucasian, 51.2% were female, 83.2% had type 2 diabetes, and average age of 59 years (SD 14 years). Mean venipuncture blood glucose was 151 mg/dL (SD +/-65 mg/dL; range, 58-474 mg/dL). Clinical accuracy by Clarke EGA was demonstrated in 94% of Optium, 82% of Prodigy, 61% of True Track, and 77% of the Assure Pro samples (P < 0.05 for Optium and True Track compared to all others). By Parkes EGA, the True Track was significantly less accurate than the other meters. Within 5% accuracy was achieved in 34%, 24%, 29%, and 13%, respectively (P < 0.05 for Optium, Prodigy, and Assure Pro compared to True Track). Within 10% accuracy was significantly greater for the Optium, Prodigy, and Assure Pro compared to True Track. Significantly more Optium results demonstrated within 15% and 20% accuracy compared to the other meter systems. The HDI True Track was significantly less precise than the other meter systems.


CONCLUSIONS
The Abbott Optium was significantly more accurate than the other meter systems, whereas the HDI True Track was significantly less accurate and less precise compared to the other meter systems.
Sheffield
Catherine A
CA
Department of Pharmacy Practice, Dayton Veterans Administration Medical Center, Dayton, Ohio, USA.
Kane
Michael P
MP
Bakst
Gary
G
Busch
Robert S
RS
Abelseth
Jill M
JM
Hamilton
Robert A
RA
D000368:Aged; D000704:Analysis of Variance; D001786:Blood Glucose / Q000032:analysis; D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation*; D001800:Blood Specimen Collection / Q000379:methods; D016009:Chi-Square Distribution; D016001:Confidence Intervals; D003920:Diabetes Mellitus / Q000097:blood*; D004032:Diet; D005260:Female; D006801:Humans; D007328:Insulin / Q000008:administration & dosage; D008297:Male; D008875:Middle Aged; D018709:Statistics, Nonparametric; D013997:Time Factors; D014481:United States
D001786:Blood Glucose; D007328:Insulin