Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
J Diabetes Sci Technol. 2024 Jul;18(4):800-807. doi: 10.1177/19322968241232679. Epub 2024 Feb 28.
The assessment and characterization of trend accuracy, that is, the ability of a continuous glucose monitoring (CGM) system to correctly indicate the direction and rate of change (RoC) of glucose levels, has received comparatively little attention in the overall evaluation of CGM performance. As such, only few approaches that examine the trend accuracy have been put forward. In this article, we review existing approaches and propose the clinical trend concurrence analysis (CTCA) which is an adaptation of the conventional trend concurrence analysis. The CTCA is intended to directly evaluate the trend arrows displayed by the CGM systems by characterizing their agreement to suitably categorized comparator RoCs. Here, we call on manufactures of CGM systems to provide the displayed trend arrows for retrospective analysis. The CTCA classifies any deviations between the CGM trend and comparator RoC according to their risk for an adverse clinical event arising from a possibly erroneous treatment decision. For that, the existing rate error grid analysis and a specific set of trend arrow-based insulin dosing recommendations were used. The results of the CTCA are presented in an accessible graphical display and exemplified on data from three CGM systems. With this article, we hope to increase the awareness for the importance and challenges of assessing the accuracy of trend information displayed by CGM systems.
趋势准确性的评估和描述,即连续血糖监测(CGM)系统正确指示血糖水平的方向和变化率(RoC)的能力,在 CGM 性能的整体评估中相对较少受到关注。因此,只有少数几种方法可以检查趋势准确性。在本文中,我们回顾了现有的方法,并提出了临床趋势一致性分析(CTCA),这是对传统趋势一致性分析的一种改编。CTCA 旨在通过描述其与适当分类的比较 RoC 的一致性,直接评估 CGM 系统显示的趋势箭头。在这里,我们呼吁 CGM 系统制造商提供显示的趋势箭头,以便进行回顾性分析。CTCA 根据可能错误的治疗决策导致不良临床事件的风险,对 CGM 趋势与比较 RoC 之间的任何偏差进行分类。为此,使用了现有的速率误差网格分析和一组特定的基于趋势箭头的胰岛素给药建议。CTCA 的结果以易于访问的图形显示,并以三个 CGM 系统的数据为例。通过本文,我们希望提高对评估 CGM 系统显示的趋势信息准确性的重要性和挑战的认识。