当前位置: X-MOL 学术ACS Sens. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy
ACS Sensors ( IF 8.9 ) Pub Date : 2023-03-06 , DOI: 10.1021/acssensors.2c02756
Anders Pors 1 , Kaspar G Rasmussen 1 , Rune Inglev 1 , Nina Jendrike 2 , Amalie Philipps 1 , Ajenthen G Ranjan 3 , Vibe Vestergaard 4 , Jan E Henriksen 4 , Kirsten Nørgaard 3 , Guido Freckmann 2 , Karl D Hepp 5 , Michael C Gerstenberg 1 , Anders Weber 1
Affiliation  

In diabetes prevention and care, invasiveness of glucose measurement impedes efficient therapy and hampers the identification of people at risk. Lack of calibration stability in non-invasive technology has confined the field to short-term proof of principle. Addressing this challenge, we demonstrate the first practical use of a Raman-based and portable non-invasive glucose monitoring device used for at least 15 days following calibration. In a home-based clinical study involving 160 subjects with diabetes, the largest of its kind to our knowledge, we find that the measurement accuracy is insensitive to age, sex, and skin color. A subset of subjects with type 2 diabetes highlights promising real-life results with 99.8% of measurements within A + B zones in the consensus error grid and a mean absolute relative difference of 14.3%. By overcoming the problem of calibration stability, we remove the lingering uncertainty about the practical use of non-invasive glucose monitoring, boding a new, non-invasive era in diabetes monitoring.

中文翻译:

使用共聚焦拉曼光谱对人体无创血糖测量进行准确的校准后预测

在糖尿病预防和护理中,葡萄糖测量的侵入性阻碍了有效的治疗,并阻碍了风险人群的识别。非侵入性技术缺乏校准稳定性,将该领域局限于短期的原理验证。为了应对这一挑战,我们展示了基于拉曼的便携式非侵入式葡萄糖监测设备的首次实际使用,该设备在校准后至少使用了 15 天。在一项涉及 160 名糖尿病患者的家庭临床研究中,我们发现测量准确性对年龄、性别和肤色不敏感。2 型糖尿病患者的一个子集突出了有希望的现实生活结果,99.8% 的测量值位于共识误差网格的 A + B 区域内,平均绝对相对差异为 14.3%。
更新日期:2023-03-06
down
wechat
bug