Harman-Boehm Ilana, Gal Avner, Raykhman Alexander M, Zahn Jeffrey D, Naidis Eugene, Mayzel Yulia
Internal Medicine and the Diabetes Unit, Soroka University Medical Center, Beer-Sheva, Israel.
J Diabetes Sci Technol. 2009 Mar 1;3(2):253-60. doi: 10.1177/193229680900300205.
The main concern in noninvasive (NI) glucose measurement is achieving high accuracy readings, although no blood (or other fluid) is involved in the process. Using methods based on different physical properties of a measured object can ensure the independence of each of the readings and therefore improve the validity of the end result. By using a combination of (three) independent technologies-ultrasonic, electromagnetic, and thermal-GlucoTrack presents a unique approach for a real-time, truly NI blood glucose spot measurement.
Clinical trials were performed in two stages. Stage 1 was an initial method validation and performance verification of the device. In this stage, 50 type 1 and 2 diabetic patients, as well as healthy subjects, were evaluated with GlucoTrack against Ascensia Elite (Bayer). In the second stage, 85 additional diabetic subjects were evaluated in half and full daytime sessions using a GlucoTrack comparison with HemoCue (Glucose 201+).
A total of 135 subjects were tested during the trial period, producing 793 data pairs. Using Clarke error grid analysis, 92% of the readings fell in the clinically acceptable zones A and B, with 50% in the A zone. Mean and median relative absolute differences were 29.9 and 19.9%, respectively.
Integrating several modalities for NI assessment of glucose level enables more accurate readings, while a possible aberration in one modality is bypassed by the others. The present generation of GlucoTrack gives promising results; however, further improvement of the accuracy of the device is needed.
无创(NI)血糖测量的主要关注点是获得高精度读数,尽管该过程不涉及血液(或其他液体)。使用基于被测对象不同物理特性的方法可以确保每次读数的独立性,从而提高最终结果的有效性。通过结合(三种)独立技术——超声、电磁和热技术——GlucoTrack提供了一种独特的方法来进行实时、真正的无创血糖即时测量。
临床试验分两个阶段进行。第一阶段是对该设备进行初步方法验证和性能验证。在这个阶段,50名1型和2型糖尿病患者以及健康受试者使用GlucoTrack与拜耳Ascensia Elite血糖仪进行了评估。在第二阶段,另外85名糖尿病受试者在白天的半程和全程时段使用GlucoTrack与HemoCue(Glucose 201+)血糖仪进行了比较评估。
在试验期间共测试了135名受试者,产生了793对数据。使用克拉克误差网格分析,92%的读数落在临床可接受的A区和B区,其中5%在A区。平均相对绝对差异和中位数相对绝对差异分别为29.9%和19.9%。
整合多种方式进行血糖水平无创评估能够实现更准确的读数,同时一种方式中可能出现的偏差会被其他方式绕过。目前一代的GlucoTrack给出了有前景的结果;然而,该设备的准确性仍需进一步提高。