糖尿病技术协会血糖监测仪误差网格和趋势准确性矩阵。

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Science and Technology Pub Date : 2024-11-01 Epub Date: 2024-10-06 DOI:10.1177/19322968241275701
David C Klonoff, Guido Freckmann, Stefan Pleus, Boris P Kovatchev, David Kerr, Chui Cindy Tse, Chengdong Li, Michael S D Agus, Kathleen Dungan, Barbora Voglová Hagerf, Jan S Krouwer, Wei-An Andy Lee, Shivani Misra, Sang Youl Rhee, Ashutosh Sabharwal, Jane Jeffrie Seley, Viral N Shah, Nam K Tran, Kayo Waki, Chris Worth, Tiffany Tian, Rachel E Aaron, Keetan Rutledge, Cindy N Ho, Alessandra T Ayers, Amanda Adler, David T Ahn, Halis Kaan Aktürk, Mohammed E Al-Sofiani, Timothy S Bailey, Matt Baker, Lia Bally, Raveendhara R Bannuru, Elizabeth M Bauer, Yong Mong Bee, Julia E Blanchette, Eda Cengiz, James Geoffrey Chase, Kong Y Chen, Daniel Cherñavvsky, Mark Clements, Gerard L Cote, Ketan K Dhatariya, Andjela Drincic, Niels Ejskjaer, Juan Espinoza, Chiara Fabris, G Alexander Fleming, Monica A L Gabbay, Rodolfo J Galindo, Ana María Gómez-Medina, Lutz Heinemann, Norbert Hermanns, Thanh Hoang, Sufyan Hussain, Peter G Jacobs, Johan Jendle, Shashank R Joshi, Suneil K Koliwad, Rayhan A Lal, Lawrence A Leiter, Marcus Lind, Julia K Mader, Alberto Maran, Umesh Masharani, Nestoras Mathioudakis, Michael McShane, Chhavi Mehta, Sun-Joon Moon, James H Nichols, David N O'Neal, Francisco J Pasquel, Anne L Peters, Andreas Pfützner, Rodica Pop-Busui, Pratistha Ranjitkar, Connie M Rhee, David B Sacks, Signe Schmidt, Simon M Schwaighofer, Bin Sheng, Gregg D Simonson, Koji Sode, Elias K Spanakis, Nicole L Spartano, Guillermo E Umpierrez, Maryam Vareth, Hubert W Vesper, Jing Wang, Eugene Wright, Alan H B Wu, Sewagegn Yeshiwas, Mihail Zilbermint, Michael A Kohn
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引用次数: 0

摘要

介绍:误差格栅将测量的葡萄糖浓度与参考值进行比较,从而为观察到的误差赋予临床风险值。广泛使用的血糖监测仪(BGMs)误差网格的价值有限,因为它们不能同时反映连续血糖监测仪(CGMs)的临床准确性:糖尿病技术协会(DTS)召集了 89 位血糖监测领域的国际专家,目的是:(1) 简化监测误差网格(SEG)区域的边界,并创建一个用户友好型工具--DTS 误差网格;(2) 界定五个临床点准确性风险区域(A-E),使 BGM 和 CGM 的临床点准确性相同;(3) 通过分析 22 项 BGM 和 9 项 CGM 准确性研究,确定 A 区 DTS 误差网格百分比与平均绝对相对差值 (MARD) 之间的关系;以及 (4) 为 CGM 趋势准确性创建趋势风险类别(1-5)。结果:针对点准确度的 DTS 误差网格包含五个风险区域(A-E),其直线边界可适用于 BGM 和 CGM 准确度数据。在结合了 18 个 BGM 的点准确度数据的数据集中,2.6% 的数据对同样从 A 区移动到了 B 区,反之亦然(SEG 与 DTS 误差网格比较)。A 区数据百分比每增加 1%,误差平均值就会减少约 0.33%。我们还创建了一个 DTS 趋势准确性矩阵,将 CGM 报告的趋势指标与参考血糖计算出的参考趋势进行比较,得出五个趋势风险类别(1-5):DTS 误差网格结合了当代临床医生对血糖仪和 CGM 临床点准确性的意见。DTS 趋势准确性矩阵可评估 CGM 趋势指标的准确性。
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The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors.

Introduction: 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).

Methods: 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.

Results: 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.

Conclusion: 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.

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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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