Osteoporosis Clinical Trial
Lack in vitamin D reduces the absorption of calcium in the body, accelerates bone loss and
may increase the risk of fractures due to osteoporosis. An algorithm that will allow
immediate and non-invasive quantification of vitamin D levels will shorten the time of
diagnosis, reduce lab costs and prevent hazards or discomfort to the patient associated with
a blood test.
The goal of the study is therefore to develop a non-invasive method for quantifying vitamin
D levels in the body using spectroscopy.
40 subjects will be recruited: 20 hospitalized patients in the rehabilitation department,
diagnosed with osteoporosis and 20 healthy subjects. Spectroscopy will be used with visible
light on the subject's skin and middle infrared (MIR) on the blood sample to find
correlation with the chemical lab test results.
Lack in vitamin D reduces the absorption of calcium in the body, accelerates bone loss and
may increase the risk of fractures due to osteoporosis. Vitamin D can be ingested by foods
and specific supplements, but the main source for the vitamin is its synthesis in the skin
by using sun radiation. Today, quantification of vitamin D levels is performed using a blood
test. Mostly, the physician will send the patient to check the levels and vitamin D if he
suffers from osteoporosis, hypertension, renal impairment, suspected for activity of the
thyroid gland, tuberculosis or sarcoidosis.
Studies have shown that it is possible to quantify the different elements in the contents of
the blood, such as melanin and hemoglobin, using spectroscopy of the skin (Zonios et al,
2001; Tseng et al, 2009), but to the investigators' knowledge, the identification of levels
and vitamin D in similar means has not been reported in professional literature.
The rationale for this research: an algorithm that will allow immediate and non-invasive
quantification of vitamin D levels will shorten the time of diagnosis, reduce lab costs and
prevent hazards or discomfort to the patient associated with a blood test.
The goal of this study is therefore to develop a non-invasive method for quantifying vitamin
D levels in the body using spectroscopy.
Methods:
40 subjects aged 18-65 will be recruited for this research: 20 patients be recruited from
the population of patients in the rehabilitation department who were diagnosed with
osteoporosis. Also, 20 healthy subjects will be recruited.
All participants will be able to understand the study protocol and sign a consent form
independently.
In this study, the investigators will look for a correlation between the results of
conventional blood test for detection of vitamin D levels in the blood and the results of
measurements of spectral examinations that will be performed on various locations on the
upper body of the subject. These measurements will take place in Hillel Yaffe Medical Center
as the subject arrives to the chemistry lab for the blood test. Visible light spectrometer
(manufactured by Ocean Optics, USB 2000 model), connected to an optical fiber (manufactured
by Ocean Optics, diameter 1mm) will be used. The measurement will use a light source
(Fiberoptics Technology Inc. company., Model SOL-R 150) connected also to an optical fiber.
Both ends of the fiber will be positioned on the upper body of the patient one of two
configurations: for areas with greater thickness, e.g. the forearm, the fibers would be
placed next to each other on the same side of the limb to measure the return of the light,
and in areas with smaller tissue thickness, e.g. finger tip, the fibers will be placed to
both sides of an organ and record light transmission through the target.
First, the investigators will attempt to find correlation between the spectral analysis
results of the visible wavelengths and the blood test. Then the investigators will further
compare the subjects' blood samples using FTIR spectrometer in the mid infrared (device
manufactured by Oriel, Model MIR8025). The device is equipped with plug-ATR (Attenuated
Total Reflectance) and allows testing of a small sample of fluids. Vials of samples
delivered to Rupin on foil-wrapped test using a cooler with ice will be tested in Ruppin on
the day of extraction. The samples will be disposed of as biological waste.
Trial protocol:
Each subject will arrive at the lab at Hillel Yaffe Medical Center. the subject will read
and sign an informed consent form for participation in the study. The subject will fill out
a short questionnaire reporting on the nature of sun exposure, dietary habits and chronic
medications.
Then two tests will be performed:
1. Blood test for vitamin D levels.
2. Test using the spectrometer: two fiber optic guided by the researchers on different
places on the torso of the patient, when one side of the fiber optic is connected to a
light source and the anther optical fiber end is connected to the spectrometer.
There is no expected risk or discomfort to the subject beyond the risk associated with
regular blood tests.
Spectral test to be held Ruppin on the patient's blood samples, as described in the methods,
and will not require the presence of the patient.
Data analysis:
Several algorithms will be developed to be used on the spectral database, in order to
identify individuals suffering from vitamin D deficiency.
The data processing will be as follows:
1. Statistical analyzes will be carried out using regression methods to find correlation
between the level of vitamin D quantified with laboratory chemical test of the blood
and spectral measurements in the visible light as performed at the hospital in
different areas of the body.
2. Statistical analyzes will be carried out using regression methods to find correlation
between the level of vitamin D quantified with laboratory chemical test of the blood
and spectral measurements in middle infrared (MIR), as performed on blood samples taken
from subjects.
3. The tested population will be divided into two groups according to the blood test
results: subjects defined as having vitamin D deficiency and subjects classified as
having normal vitamin D levels. Clustering methods of analysis will be carried out,
such as PCA and LDA, to find distinguishing characteristic between the two populations.
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Observational Model: Cohort, Time Perspective: Cross-Sectional
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