Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA.
Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
J Diabetes Sci Technol. 2024 Nov;18(6):1346-1361. doi: 10.1177/19322968241275701. Epub 2024 Oct 6.
An error grid compares measured versus reference glucose concentrations to assign clinical risk values to observed errors. Widely used error grids for blood glucose monitors (BGMs) have limited value because they do not also reflect clinical accuracy of continuous glucose monitors (CGMs).
Diabetes Technology Society (DTS) convened 89 international experts in glucose monitoring to (1) smooth the borders of the Surveillance Error Grid (SEG) zones and create a user-friendly tool-the DTS Error Grid; (2) define five risk zones of clinical point accuracy (A-E) to be identical for BGMs and CGMs; (3) determine a relationship between DTS Error Grid percent in Zone A and mean absolute relative difference (MARD) from analyzing 22 BGM and nine CGM accuracy studies; and (4) create trend risk categories (1-5) for CGM trend accuracy.
The DTS Error Grid for point accuracy contains five risk zones (A-E) with straight-line borders that can be applied to both BGM and CGM accuracy data. In a data set combining point accuracy data from 18 BGMs, 2.6% of total data pairs equally moved from Zones A to B and vice versa (SEG compared with DTS Error Grid). For every 1% increase in percent data in Zone A, the MARD decreased by approximately 0.33%. We also created a DTS Trend Accuracy Matrix with five trend risk categories (1-5) for CGM-reported trend indicators compared with reference trends calculated from reference glucose.
The DTS Error Grid combines contemporary clinician input regarding clinical point accuracy for BGMs and CGMs. The DTS Trend Accuracy Matrix assesses accuracy of CGM trend indicators.
误差网格将测量值与参考血糖浓度进行比较，以将观察到的误差分配给临床风险值。广泛使用的血糖仪（BGM）误差网格的价值有限，因为它们也不能反映连续血糖监测仪（CGM）的临床准确性。
糖尿病技术协会（DTS）召集了 89 名国际血糖监测专家，（1）平滑监测误差网格（SEG）区域的边界，并创建了一个用户友好的工具-DTS 误差网格；（2）定义五个临床点精度风险区（A-E），与 BGM 和 CGM 相同；（3）通过分析 22 个 BGM 和 9 个 CGM 准确性研究，确定 DTS 误差网格区 A 中的百分比与平均绝对相对差异（MARD）之间的关系；（4）为 CGM 趋势准确性创建趋势风险类别（1-5）。
DTS 点精度误差网格包含五个风险区（A-E），边界为直线，可应用于 BGM 和 CGM 准确性数据。在一个结合了来自 18 个 BGM 的点精度数据的数据集，总数据对的 2.6% 相等地从区 A 转移到区 B，反之亦然（与 SEG 相比，DTS 误差网格）。区 A 中数据百分比每增加 1%，MARD 大约减少 0.33%。我们还创建了一个 DTS 趋势准确性矩阵，其中包含五个趋势风险类别（1-5），用于比较参考趋势从参考血糖计算得出的 CGM 报告的趋势指标。
DTS 误差网格结合了当代临床医生对 BGM 和 CGM 的临床点精度的输入。DTS 趋势准确性矩阵评估了 CGM 趋势指标的准确性。
