Abstract
The introduction of optical non-invasive diagnostic methods into clinical practice can substantially advance in the detection of early microcirculatory disorders in patients with different diseases. This paper is devoted to the development and application of the optical non-invasive diagnostic approach for the detection and evaluation of the severity of microcirculatory and metabolic disorders in rheumatic diseases and diabetes mellitus. The proposed methods include the joint use of laser Doppler flowmetry, absorption spectroscopy and fluorescence spectroscopy in combination with functional tests. This technique showed the high diagnostic importance for the detection of disturbances in peripheral microhaemodynamics. These methods have been successfully tested as additional diagnostic techniques in the field of rheumatology and endocrinology. The sensitivity and specificity of the proposed diagnostic procedures have been evaluated.
Highlights
Blood microcirculation plays an important role in the transport of nutrients, oxygen, hormones and the release of metabolic products
We suggest to use the composite diagnostic criteria, which includes both laser Doppler flowmetry (LDF) and cutaneous thermometry parameters
The new diagnostic procedure using methods of laser Doppler flowmetry and thermometry during combined provocative factors of cold and ischemia was proposed in the study
Summary
Blood microcirculation plays an important role in the transport of nutrients, oxygen, hormones and the release of metabolic products. There has been a steady increase in the interest of researchers in the problems of microcirculatory disorders in patients with rheumatological and endocrinological diseases. This is due to the significant role of microcirculation in the pathogenesis of such diseases (Avouac et al, 2011; Sena et al, 2013; Fuchs et al, 2017). At the same time, according to the International Diabetes Federation (IDF), by 2017 the prevalence of diabetes mellitus in the world has reached 8.8% among the adult population (Karuranga et al, 2017)
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