Diabetes Mellitus Clinical Trial
Official title:
Accuracy Evaluation of Glucometry Monitor Developed by Spectrophon LTD
Diabetes mellitus (or diabetes) is a chronic, metabolic disease characterized by elevated
levels of blood glucose. Patients with diabetes need to monitor their blood glucose level
several times a day to control their medical state. Modern biosensors have become a promising
solution for non-invasive blood glucose measurements. This study aims to validate the
efficacy and the accuracy of Glucometry Monitor (NIGM) developed by Spectrophon LTD
incorporated in smart watches.
Method Participants will use Spectrophon biosensors to non-invasively estimate the level of
glucose in blood. Blood will also be collected and the glucose level will be checked with
commercially available blood glucose analyzers . All sets of data will be compared to
estimate the accuracy of measurements of Spectrophon NIGM
Diabetes is a chronic, life-long disease that represents a major public health challenge at a
world level (Matthews et al 1985). It is important to note that diabetes is common among
mentally ill patients, especially among patients with schizophrenia that are treated with new
generation antipsychotic drugs (Nielsen et al 2010, Vancampfort et al 2016).
To maintain blood glucose level homeostasis, repeated blood glucose testing is needed. The
vast majorities of currently available methods for blood glucose testing are invasive and
cause discomfort for patients. However, biosensors have recently become a promising solution
for non-invasive glucose blood testing (Bandodkar et al 2014; Zhang et al 2015). Spectrophon
LTD has developed a technology that allows measurement of even the smallest amounts of
various compounds contained in sweat. Using unique algorithm developed by Spectrophon LTD,
these data provides the possibility of evaluating the levels of chemicals in the bloodstream.
Based on this technology, Spectrophone LTD has developed a glucometer biosensor that is able
to non-invasively detect the blood glucose level. This glucometer biosensor can be easily
incorporated into most commercially available smartwatches. Development of this technology
will allow real-time, non-invasive measurement of blood glucose level and will dramatically
facilitate effective treatment of diabetes. In addition, this technology will enable
monitoring of glucose levels in patients with mental disorders that will facilitate the early
detection of metabolic syndrome.
Study Design: this naturalistic study will examine the accuracy of Spectrophon NIGM
incorporated in smart watch Samsung Gear S2 that non-invasively and indirectly detect the
level of glucose in human blood. The study will be held in Maale Carmel Mental Health Center
(MCMHC). Adult participants (n=200) will be recruited for the study from the staff of MCMHC
(including doctors, nurses and administrative workers; no psychiatric in-patients will be
recruited for the study). In parallel to glucose measurements with NIGM, blood will be
collected and the glucose level will be checked using commercially available blood glucose
analyzers.
The participants will be able to select between two options for blood collection:
The first option: intravenous cannula (Venflon) will be inserted in cubital vein and blood
will be collected twice in the beginning and at the end of the procedure (within 1-3 hours)
and checked for the glucose level with commercially available blood glucose analyzers.
The second option: The blood will be collected twice from the cubital vein at the beginning
and at the end of the procedure (within 1-3 hours) and checked for the glucose level using
commercially available blood glucose analyzers .
The measurements will be performed twice: before meal (subject should be in fasting state)
and after meal with one hour interval between two measurements.
The results of the measurements of the NIGM will be compared to the results obtained from
commercially available blood glucose analyzers.
The application automatically saves every measurement into archive. To better control the
process, the manual fixation of data obtained by NIGM is performed.
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