Comparative Accuracy and MARD Analysis
The comparative accuracy of continuous glucose monitoring (CGM) systems is crucial for their effectiveness in managing diabetes. The Mean Absolute Relative Difference (MARD) is a widely used metric to evaluate the accuracy of CGM systems.
Introduction to MARD
MARD is calculated as the average of the absolute differences between CGM readings and reference glucose values, divided by the reference glucose values, and multiplied by 100. A lower MARD value indicates higher accuracy.
Comparative Analysis of CGM Systems
Several studies have compared the accuracy of different CGM systems. For example, a study published in the Journal of Diabetes Science and Technology compared the MARD values of the Dexcom G6, Medtronic Guardian Connect, and FreeStyle Libre systems [1]. The results showed that the Dexcom G6 had a MARD value of 9.0%, while the Medtronic Guardian Connect and FreeStyle Libre had MARD values of 10.4% and 11.4%, respectively.
Factors Affecting MARD
Several factors can affect the MARD values of CGM systems, including sensor calibration, patient factors, and environmental conditions. A study published in the Journal of Clinical Endocrinology and Metabolism found that sensor calibration errors can significantly impact MARD values [2]. Another study published in the Diabetes Technology & Therapeutics journal found that patient factors such as age, body mass index, and activity level can also affect MARD values [3].
Conclusion
In conclusion, the comparative accuracy of CGM systems is an important consideration for individuals with diabetes. The MARD value is a useful metric for evaluating the accuracy of CGM systems. Further research is needed to understand the factors that affect MARD values and to develop more accurate CGM systems.