Belarusian State Medical University

About: Belarusian State Medical University is a education organization based out in Minsk, Belarus. It is known for research contribution in the topics: Population & Medicine. The organization has 536 authors who have published 513 publications receiving 4635 citations.

Training of psychiatrists in Eastern Europe: problems and solutions.

Abstract: The analysis of the training of mental health professionals in WPA Zone 10 was performed based on a comparison of data of a specifically designed questionnaire comprising 29 questions on undergradu...

Clinical and laboratory parameters in assessing the risk of exacerbations in chronic obstructive pulmonary disease

Abstract: Aim. To estimate the significance of measuring the concentrations of cytokines and immunoglobulins and the relative counts of lymphocyte subpopulations in peripheral blood, as well as clinical parameters in patients with chronic obstructive pulmonary disease (COPD) in order to assess the risk of exacerbations. Subjects and methods. Thirty-seven patients with COPD were examined. A study group consisted of 31 patients. Patients with rare exacerbations were assigned to those who had no or one case; patients with frequent exacerbations were those who had two or more cases a year after examination. A prognostic model was created using the binary logistic regression analysis. Results. A significant statistical model was developed as a regression equation involving 4 indicators (vascular endothelial growth factor, C-reactive protein, CAT scores, and number of exacerbations in the previous year). This mathematical model can predict frequent exacerbations in next year with a sensitivity of 94.1% and a specificity of 80%. Conclusion. The mathematical model created to estimate the risk of frequent exacerbations may be used to elaborate adequate individual treatment regimens for both smoking and non-smoking patients with COPD.

Nanopore-penetration sensing effects for target dna sequencing via impedance difference between organometallic-complex-decorated carbon nanotubes with twisted single-stranded or double-stranded dna

Abstract: We offer a highly sensitive and reproducible dielectric-spectroscopy assay of deoxyribonucleic acid (DNA) sequence on a platform of quantum graphene-like structures arranged on nanoporous alumina to correctly identifying an infectious agent in a native double-stranded (ds) DNA. The hybridization of complementary target DNA with probe DNA in the sensor sensitive layer leads to penetration of the formed single-stranded (ss) target DNA into the underlayer nanoporous anodic alumina through the nanocavities of LB-film from organometallic complexes. This results in linking of MWCNT ends, shielding of Helmholtz double layer and following decrease of electrical capacitance of the sensor. The novel electrochemical impedimetric DNA sensor with self-organized multi-walled carbon nanotube (MWCNT) bundles decorated by organometallic complexes as transducer has been utilized to detect the viral DNA in the biological samples of patients with virus infection at DNA concentration as low as 1.0–1.3 ng/μL.