Evaluation of a Methodology for Estimating HbA1c Value by a New Glucose Meter. (January 2016)

• Record Type: Journal Article
• Authors: Sieber, Jochen; Flacke, Frank; Dumais, Bonnie; Peters, Casey C.; Mallery, Erin B.; Taylor, Liz
• Is Part Of: Journal of diabetes science and technology. Volume 10:Number 1(2016:Jan.)
• Page Start: 67
• Page End: 71
• Publication Date: 2016-01
• Subjects: eA1c -- eA1c questionnaire -- estimated HbA1c -- MyStar Extra blood glucose meter -- self-monitored blood glucose; Diabetes -- Periodicals; Medical technology -- Periodicals; Diabetes Mellitus -- Periodicals; 616.462005
• DOI: 10.1177/1932296815587323
• Languages: English
• ISSNs: 1932-2968

Abstract

Background: Accuracy/robustness of HbA1c estimation (eA1c) with an algorithm built into the MyStar Extra blood glucose (BG) meter has been demonstrated by in silico testing. We evaluated the performance and use of eA1c in a clinical setting. Methods: Subjects took the BG meter home for 4 months to obtain eA1c in this open-label, single-center study. Laboratory HbA1c values were obtained approximately every 2 weeks and the corresponding eA1c documented. Subjects completed a questionnaire at study end (NCT01885546). Results: There were 133 enrolled subjects (mean [SD] age 60.0 [15.0] years, 69 males, 104 with diabetes, HbA1c 7.0% [1.4]). A total of 1008 pairs of eA1c and laboratory HbA1c values were available. In subjects with diabetes, 97.5% of the eA1c results fell within ±20% of the laboratory HbA1c, 95.0% within ±18%, and 90.7% within ±15%. When results were limited to the reportable HbA1c range of ≥6 to ≤10%, 99.3% of eA1c values fell within ±20% of the laboratory HbA1c, 98.5% within ±18%, and 96.2% within ±15% Most subjects agreed/strongly agreed that the eA1c section in the user guide and flash cards was easy to follow (72%), they would use the system to track their eA1c (70%), they found the eA1c tool helpful (79%), and the tool may motivate them to manage their diabetes better (83%). Conclusions: Accuracy of the eA1c feature in this clinical setting was similar to the performance in silico. The majority of subjects found this tool helpful and agreed it may motivate to manage their diabetes better.