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基于近红外光谱技术的无创血糖监测系统的性能()。

Performance of a Non-Invasive System for Monitoring Blood Glucose Levels Based on Near-Infrared Spectroscopy Technology ().

作者信息

Gómez-Peralta Fernando, Luque Romero Luis Gabriel, Puppo-Moreno Antonio, Riesgo Jesús

机构信息

Endocrinology and Nutrition Unit, Segovia General Hospital, Luis Erik Clavería Neurólogo S.N Street, 40002 Segovia, Spain.

Health Care Center La Algaba, 41980 La Algaba, Spain.

出版信息

Sensors (Basel). 2024 Dec 6;24(23):7811. doi: 10.3390/s24237811.

Abstract

BACKGROUND

The need for frequent blood glucose (BG) monitoring and the inconveniences associated with self-monitoring of BG (SMBG) have driven the development of non-invasive approaches.

METHODS

This prospective study aimed to investigate the accuracy of glucose level calculation using the near-infrared spectroscopy (NIRS) technology system. People with Type 1 diabetes, Type 2 diabetes, prediabetes, and normal glucose metabolism were included. Over one week, individuals performed glucose measurements with the system and capillary blood fingersticks with a standard glucometer (). To assess the impact of the improvement in dexterity, the accuracy variables were compared with the point-of-care (POC) glucometer Accu-Chek Inform II in a one-week sub-study.

RESULTS

Overall, 105 subjects (mean age 53.8 ± 13.8 years, 50.5% female) participated, resulting in 1914 paired glucose measurements between 49 and 331 mg/dL. Total mean absolute relative difference (MARD) was 20.3%, MARD for values >100 mg/dL was 18.3%, and mean absolute deviation (MAD) for values <100 mg/dL was 24.9%. A total of 97.3% of measurements fell within A+B Parkes zones, and 58.8%, 76.9%, and 88.1% within +-20%, +-30%, or +-40% error, respectively. On completion, 62 participants (59%) fulfilled the one-week prospective sub-study. In this subgroup, the total MARD was reduced between day 1 and day 8 from 22.8 to 18.3% ( = 0.068). The percentages within Zone A were 51.6 vs. 61.2%, Zone B 46.8 vs. 33.9%, and Zone C 1.6 vs. 4.8%, and the sum of Parkes Zones A+B was 98.4 vs. 95.2% ( = 0.311) for day 1 and day 8, respectively.

CONCLUSIONS

is a novel non-invasive system based on NIRS technology for monitoring blood glucose levels. Its promising capabilities support further research.

摘要

背景

频繁进行血糖(BG)监测的需求以及自我血糖监测(SMBG)带来的不便推动了非侵入性方法的发展。

方法

这项前瞻性研究旨在调查使用近红外光谱(NIRS)技术系统计算血糖水平的准确性。纳入了1型糖尿病、2型糖尿病、糖尿病前期和血糖代谢正常的人群。在一周的时间里,个体使用该系统和标准血糖仪进行指尖毛细血管血糖测量。为了评估灵活性改善的影响,在一项为期一周的子研究中,将准确性变量与即时检验(POC)血糖仪罗氏卓越型血糖仪进行了比较。

结果

总体而言,105名受试者(平均年龄53.8±13.8岁,50.5%为女性)参与了研究,共获得了49至331mg/dL之间的1914对血糖测量值。总平均绝对相对差异(MARD)为20.3%,血糖值>100mg/dL时的MARD为18.3%,血糖值<100mg/dL时的平均绝对偏差(MAD)为24.9%。共有97.3%的测量值落在A+B帕克斯区域内,分别有58.8%、76.9%和88.1%的测量值在误差±20%、±30%或±40%范围内。完成研究时,62名参与者(59%)完成了为期一周的前瞻性子研究。在这个亚组中,第1天到第8天的总MARD从22.8%降至18.3%(P=0.068)。第1天和第8天,A区的百分比分别为51.6%和61.2%,B区为46.8%和33.9%,C区为1.6%和4.8%,帕克斯A+B区的总和分别为98.4%和95.2%(P=0.311)。

结论

[具体系统名称未给出]是一种基于近红外光谱技术的新型非侵入性血糖监测系统。其有前景的性能支持进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/015c/11645037/b6c63f1f16cd/sensors-24-07811-g001.jpg

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