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Jesse Canchola

Roche Molecular Systems, Inc.



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693 – Evaluation of In Vitro Diagnostics

Error Grid Analysis (EGA) of Glycated Hemoglobin A1c

Sponsor: Section on Medical Devices and Diagnostics
Keywords: Error Grid Analysis, method comparison, hemoglobin a1c

Jesse Canchola

Roche Molecular Systems, Inc.

Error Grid Analysis (EGA) uses graphical error grids for performance evaluations of medical devices, for example, a new device as compared to a predicate or currently accepted or gold-standard device or for comparing candidate and comparative measurement methodologies, for example, a new blood collection method as compared to a current standard.

Although not as widely used, EGA is an instructive and visually appealing performance evaluation methodology that shows the measurement of a new or improved test on the yaxis with a paired measurement of the reference test on the x-axis overlaid on a colorful grid of clinical regions (as established by experienced clinicians by consensus or through findings in the literature). Although error grids for glucose (mg/dL and mmol/l), hematocrit (%) and hemoglobin (g/dL) have been proposed, a reasonable EGA for glycated hemoglobin A1c (HbA1c or, simply, A1c), in percent units, has not been widely adopted at this time. We propose an EGA methodology for glycated hemoglobin A1c (%).

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