1. Evaluating the Clinical Accuracy of a Non-invasive Single-Fasting-Calibration Glucometer in Patients with Diabetes: A Multicentre Study.
- Author
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Li, Ang, Li, Xiang, Xu, Yuanmeng, Wu, Chenyang, Geng, Zhanxiao, Zhang, Junqing, Wang, Xiaohao, Li, Yuxiu, Li, Hongmei, Guo, Xiaohui, and Tang, Fei
- Subjects
BLOOD sugar monitors ,PEOPLE with diabetes ,BLOOD sugar monitoring ,BLOOD sugar ,INSULIN resistance ,MEDICAL supplies - Abstract
Introduction: The aim of this study was to evaluate the stability and accuracy of glucose measurements determined using the metabolic heat conformation (MHC)-based non-invasive glucometer in a multicentre, self-controlled clinical trial. This device is the first to obtain a medical device registration certificate awarded by the National Medical Products Administration of China (NMPA). Methods: The multicentre clinical study was conducted at three sites and enrolled 200 subjects whose glucose was measured with a non-invasive glucometer (the Contour Plus blood glucose monitoring system) and by venous plasma glucose (VPG) measurements, in a fasted state and at 2 and 4 h after meals. Results: Based on both the non-invasive and VPG measurements, 93.9% (95% confidence interval 91.7–95.6%) of the blood glucose (BG) values fell within consensus error grid (CEG) zones A + B. The measurements obtained in a fasted state and at 2 h after meals were more accurate, with 99.0% and 97.0% of the BG values, respectively, falling within zones A + B. Compared to those subjects who received insulin, the proportion of values in zones A + B and the correlation coefficients were 3.1% and 0.0596 higher, respectively. The accuracy of the non-invasive glucometer was influenced by the level of insulin resistance calculated by the homeostatic model assessment method, which had a correlation coefficient with the mean absolute relative difference of − 0.1588 (P = 0.0001). Conclusion: The MHC-based non-invasive glucometer assessed in the present study demonstrates generally high stability and accuracy in the glucose monitoring of people with diabetes. The calculation model needs to be further explored and optimised for patients with different diabetes subtypes, levels of insulin resistance and insulin secretion capacity. Clinical trial registry number: ChiCTR1900020523. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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