Affiliation:
1. St Petersburg University; Saint George City Hospital
2. St Petersburg University
Abstract
The article contains the results of a study of two different methods for calculating the spectral parameters of laser Doppler flowmetry in patients with diabetic microangiopathy caused by type 2 diabetes mellitus (main group) and those with excluded diabetes mellitus (control group). Spectral indices were calculated using either average or maximum amplitudes of the frequency ranges. When comparing the contribution of respiratory and pulse fluxmotions using average amplitudes, there were significant (p < 0.05) differences between the main and control groups. On the contrary, when using the maximum amplitudes, no significant differences were noted (p > 0.05). Also, significant correlations were found between the contributions of respiratory and pulse fluxmotions and the estimated glomerular filtration rate in the main group, using both calculation methods. These studies indicate the feasibility of using a technique based on the analysis of average amplitudes to increase the specificity of laser Doppler flowmetry as a method for diagnosing diabetic microangiopathy.
Publisher
Russian Photodynamic Association
Reference14 articles.
1. International Diabetes Federation. IDF Diabetes Atlas, 9th edition. Brussels, Belgium, International Diabetes Federation, 2019.
2. Dedov I. I., Shestakova M. V., Galstyan G. R. Prevalence of type 2 diabetes mellitus in the adult population of Russia (NATION study). Sakharny diabet, 2016, Vol. 19(2), pp. 104–112. doi: 10.14341/DM2004116–17 (in Russian)
3. Shestakova M. V., Vikulova O. K., Zheleznyakova A.V. et al. Epidemiology of diabetes mellitus in the Russian Federation: what has changed in the last decade? Terapevticheskij arhiv, 2019, Vol. 91(10), рp. 4–14. doi: 10.26442/00403660.2019.10.000364 (in Russian)
4. Algorithms of specialized medical care for patients with diabetes mellitus. / Ed. Dedova I. I., Shestakov M. V., Mayorova A. Yu. The 9th issue (supplemented). Sakharny diabet, 2019, Vol. 22 (1), рp. 1–212. doi: 10.14341/DM221S1 (in Russian)
5. Krupatkin A. I., Sidorov V. V. Funkcionalnaja diagnostika sostojanija mikrocirkuljatorno-tkanevyh sistem: Kolebanija, informacija, nelinejnost. Rukovodstvo dlja vrachej [Functional diagnostics of the state of microcirculatory and tissue systems: Fluctuations, information, non-linearity. Manual for doctors]. M.: publishing group URSS, 2014, pр. 498. (in Russian)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献