22 research outputs found
ΠΠ½Π³Π°Π»ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½ΡΡΠ°ΠΊΡ (Π°Π½Π°Π»ΠΈΠ· Π²ΡΠΏΡΡΠΊΠΈ, ΡΠ²ΡΠ·Π°Π½Π½ΠΎΠΉ Ρ Π±ΠΈΠΎΡΠ΅ΡΡΠΎΡΠΈΠ·ΠΌΠΎΠΌ Π² Π‘Π¨Π ΠΎΡΠ΅Π½ΡΡ 2001 Π³.)
Current epidemiological situation on Particularly Dangerous Mycoses around the World and Forecast of Its Development
The literature review focuses on epidemiological aspects of the spread of particularly dangerous mycoses across the world (coccidioidomycosis, histoplasmosis, blastomycosis, paracoccidioidomycosis). Forecast of morbidity rates for the next few years is provided too. Out of all endemic mycoses, coccidioidomycosis, endemic for North America regions, poses the most dangerous threat. In case of the infection, complications are most likely to arise, including the dissemination of the process in immunocompromised persons. Histoplasmosis is also classed as particularly dangerous mycosis. It affects both humans and animals. It is endemic for North, Central and South America, as well as Asia and Australia. The most studied endemic areas of infection with blastomycosis are in the territory of North America, while paracoccidioidomycosis is endemic for Latin America countries. Analysis of academic publications on particularly dangerous mycoses over the last three years testifies to the increase in their morbidity rates around the world. This situation is associated, primarily, with the increment in the number of immunocompromised subjects. An important stage in the improvement of the agent diagnostics is introduction of advanced methods for early diagnostics of mycoses, in particular, molecular-genetic and genome sequencing tools. It could also allow for the detection of patients beyond the limits of endemic foci
Molecular Diagnostics of Histoplasmosis
Histoplasmosis is a systemic fungal disease that occurs worldwide. The highest incidence of the disease is reported on the American continent. It also occurs in China, India, South-Eastern Asia, Africa, Australia and Europe. Clinical syndromes of histoplasmosis are not specific and in most cases immunocompetent individuals are asymptomatic or present mild influenza-like disease. Immunocompromised patients especially individuals with AIDS, can develop a severe and fatal disease due to fungal dissemination to many organs. Etiological agent of histoplasmosis is the dimorphic fungus Histoplasma capsulatum, which inhabits the soils contaminated with bird or bat droppings. Three biological varieties are considered for this fungus: H. capsulatum var. capsulatum, H. capsulatum var. duboissii and H. capsulatum var. farciminosum. Genetic differences are observed among H. capsulatum strains from diverse regions of the world. The main molecular methodologies for genetic typing of fungi are based on DNA fingerprinting. They have been an important instrument to identify possible sources of infection in outbreaks of histoplasmosis. Genetic profiles of H. capsulatum, isolated from bats and humans, helped to understand the distribution of the disease in certain endemic regions. The con-ventional diagnosis of histoplasmosis is performed by means of cultural and microscopic examination of samples from the respiratory tract and biologic fluids. However, these techniques yield positive results in only 50 % of cases. In the last two decades, approaches for the detecting of H. capsulatum in clinical samples, using different molecular targets, based on PCR assay have been developed. Their use can shorten the time span of analysis for diagnosis confirmation. Molecular methods have high specificity and sensitivity and reduce the risk of infection for the laboratory personnel. In this study we reviewed the recently published data on the use of main molecular methods for diagnosis of histoplasmosis
ΠΡΠ΅Π½ΠΊΠ° ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΡΡ ΡΠ°ΡΡΡΠΎΡΠ½ΠΈΠΉ Π½Π΅ ΠΏΡΠΈΠΌΠΈΡΠΈΠ²Π½ΡΡ ΠΊΠΎΠ΄ΠΎΠ² Π₯Π΅ΠΌΠΌΠΈΠ½Π³Π°
It is proved that under certain conditions, non-primitive Hamming codes are quadratic residue codes, and can be at arbitrarily large minimum distance. Therefore, unlike primitive Hamming codes without decoding the primitive have unlimited possibilities.ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π½Π΅ ΠΏΡΠΈΠΌΠΈΡΠΈΠ²Π½ΡΠ΅ ΠΊΠΎΠ΄Ρ Π₯Π΅ΠΌΠΌΠΈΠ½Π³Π° ΡΠ²Π»ΡΡΡΡΡ ΠΊΠ²Π°Π΄ΡΠ°ΡΠΈΡΠ½ΠΎ-Π²ΡΡΠ΅ΡΠ½ΡΠΌΠΈ ΠΊΠΎΠ΄Π°ΠΌΠΈ ΠΈ ΠΌΠΎΠ³ΡΡ ΠΈΠΌΠ΅ΡΡ ΡΠΊΠΎΠ»Ρ ΡΠ³ΠΎΠ΄Π½ΠΎ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅ ΡΠ°ΡΡΡΠΎΡΠ½ΠΈΠ΅. Π‘Π»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎ, Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΠΏΡΠΈΠΌΠΈΡΠΈΠ²Π½ΡΡ
ΠΊΠΎΠ΄ΠΎΠ² Π₯Π΅ΠΌΠΌΠΈΠ½Π³Π° Π½Π΅ ΠΏΡΠΈΠΌΠΈΡΠΈΠ²Π½ΡΠ΅ ΠΈΠΌΠ΅ΡΡ Π½Π΅ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΡΠ΅ Π΄Π΅ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ. Π’Π°Π±Π». 6. ΠΠΈΠ±Π»ΠΈΠΎΠ³Ρ. - 10 Π½Π°Π·Π²
ΠΠ²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΡ ΠΈ ΠΎΡΠ±ΠΈΡΡ ΠΎΡΠΈΠ±ΠΎΠΊ ΠΊΠΎΠ΄ΠΎΠ² Π ΠΈΠ΄Π° β Π‘ΠΎΠ»ΠΎΠΌΠΎΠ½Π°
The purpose of this work with its results presented in the article was to develop and transfer to the class of Reed β Solomon codes (RS-codes) the basic provisions of the theory of syndrome norms (TNS), previously developed for the noise-resistant coding of the class of Bose β Chaudhuri β Hocquenghem codes (BCH-codes), which is actively used in theory and practice. To achieve this goal, a transition has been made in the interpretation of the theory of RS-codes from polynomial to matrix language. This approach allows you to fully use the capabilities of Galois field theory. The main difficulty of RS-codes is that they rely on a non-binary alphabet. The same factor is attractive for practical applications of RS-codes. The matrix language allows you to break the syndromes of errors into components that are elements of the Galois field β the field of definition of RS-codes. The TNS for BCH codes is based on the use of automorphisms of these codes β cyclic and cyclotomic substitutions. Automorphisms of RS-codes are studied in detail. The cyclic substitution belongs to the categories of automorphisms of RS-codes and generates a subgroup Π of order N (code length). The cyclotomic substitution does not belong to the class of automorphisms of RS-codes β the power of the alphabet greater than 2 prevents this. When expanding the concept of automorphism of a code beyond substitutions of coordinates of vectors to automorphisms of RS-codes, homotheties or affine substitutions can be attributed, since they also form a cyclic group A of order N. It is shown that cyclic and affine substitutions commute with each other, which, generally speaking, is not typical for linear operators and substitutions. The group Π of cyclic substitutions, the group A of affine substitutions, and the combined AΠ group of order N2 generate 3 types of error orbits in RS-codes. The structure of the orbits of errors with respect to the action of groups A, Π and the combined group AΠ is studied {231 words}.Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ, ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΡΡΠ°ΡΡΠΈ, Π·Π°ΠΊΠ»ΡΡΠ°Π»Π°ΡΡ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΎΡΠ΅ Π½Π° ΠΊΠ»Π°ΡΡ ΠΊΠΎΠ΄ΠΎΠ² Π ΠΈΠ΄Π° β Π‘ΠΎΠ»ΠΎΠΌΠΎΠ½Π° (Π Π‘-ΠΊΠΎΠ΄ΠΎΠ²) Π±Π°Π·ΠΎΠ²ΡΡ
ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ ΡΠ΅ΠΎΡΠΈΠΈ Π½ΠΎΡΠΌ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠ² (Π’ΠΠ‘), ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
ΡΠ°Π½Π΅Π΅ Π΄Π»Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΠΎΠ³ΠΎ Π² ΡΠ΅ΠΎΡΠΈΠΈ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΠΏΠΎΠΌΠ΅Ρ
ΠΎΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΠΊΠΎΠ΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠ»Π°ΡΡΠ° ΠΊΠΎΠ΄ΠΎΠ² ΠΠΎΡΠ·Π° β Π§ΠΎΡΠ΄Ρ
ΡΡΠΈ β Π₯ΠΎΠΊΠ²ΠΈΠ½Π³Π΅ΠΌΠ° (ΠΠ§Π₯-ΠΊΠΎΠ΄ΠΎΠ²). ΠΠ»Ρ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΠ΅Π»ΠΈ ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½ ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄ Π² ΠΈΠ·Π»ΠΎΠΆΠ΅Π½ΠΈΠΈ ΡΠ΅ΠΎΡΠΈΠΈ Π Π‘-ΠΊΠΎΠ΄ΠΎΠ² Ρ ΠΏΠΎΠ»ΠΈΠ½ΠΎΠΌΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ·ΡΠΊΠ° Π½Π° ΠΌΠ°ΡΡΠΈΡΠ½ΡΠΉ. Π’Π°ΠΊΠΎΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π² ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΌΠ΅ΡΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠ΅ΠΎΡΠΈΠΈ ΠΏΠΎΠ»Π΅ΠΉ ΠΠ°Π»ΡΠ°. ΠΠ»Π°Π²Π½Π°Ρ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡΡ Π Π‘-ΠΊΠΎΠ΄ΠΎΠ² Π² ΡΠΎΠΌ, ΡΡΠΎ ΠΎΠ½ΠΈ ΠΎΠΏΠΈΡΠ°ΡΡΡΡ Π½Π° Π½Π΅Π΄Π²ΠΎΠΈΡΠ½ΡΠΉ Π°Π»ΡΠ°Π²ΠΈΡ. ΠΡΠΎΡ ΠΆΠ΅ ΡΠ°ΠΊΡΠΎΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΡΠΌ Π΄Π»Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π Π‘-ΠΊΠΎΠ΄ΠΎΠ². ΠΠ°ΡΡΠΈΡΠ½ΡΠΉ ΡΠ·ΡΠΊ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ°Π·Π±ΠΈΠ²Π°ΡΡ ΡΠΈΠ½Π΄ΡΠΎΠΌΡ ΠΎΡΠΈΠ±ΠΎΠΊ Π½Π° ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ, ΡΠ²Π»ΡΡΡΠΈΠ΅ΡΡ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ ΠΏΠΎΠ»Ρ ΠΠ°Π»ΡΠ° β ΠΏΠΎΠ»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π Π‘-ΠΊΠΎΠ΄ΠΎΠ². Π’ΠΠ‘ Π΄Π»Ρ ΠΠ§Π₯-ΠΊΠΎΠ΄ΠΎΠ² ΠΎΠΏΠΈΡΠ°Π΅ΡΡΡ Π½Π° ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΠΎΠ² ΡΡΠΈΡ
ΠΊΠΎΠ΄ΠΎΠ² β ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠΈΠΊΠ»ΠΎΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ. Π ΡΠ°Π±ΠΎΡΠ΅ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΠΎ ΠΈΠ·ΡΡΠ΅Π½Ρ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΡ Π Π‘-ΠΊΠΎΠ΄ΠΎΠ². Π¦ΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΊΠ° ΠΎΡΠ½ΠΎΡΠΈΡΡΡ ΠΊ ΡΠ°Π·ΡΡΠ΄Π°ΠΌ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΠΎΠ² Π Π‘-ΠΊΠΎΠ΄ΠΎΠ² ΠΈ ΠΏΠΎΡΠΎΠΆΠ΄Π°Π΅Ρ ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΡ Π ΠΏΠΎΡΡΠ΄ΠΊΠ° N (Π΄Π»ΠΈΠ½Π° ΠΊΠΎΠ΄Π°). Π¦ΠΈΠΊΠ»ΠΎΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΊΠ° Π½Π΅ ΠΏΡΠΈΠ½Π°Π΄Π»Π΅ΠΆΠΈΡ ΠΊΠ»Π°ΡΡΡ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΠΎΠ² Π Π‘-ΠΊΠΎΠ΄ΠΎΠ² β ΠΌΠΎΡΠ½ΠΎΡΡΡ Π°Π»ΡΠ°Π²ΠΈΡΠ°, Π±ΠΎΠ»ΡΡΠ°Ρ 2, ΠΏΡΠ΅ΠΏΡΡΡΡΠ²ΡΠ΅Ρ ΡΡΠΎΠΌΡ. ΠΡΠΈ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΠΈ ΠΏΠΎΠ½ΡΡΠΈΡ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΠ° ΠΊΠΎΠ΄Π° Π·Π° ΡΠ°ΠΌΠΊΠΈ ΠΏΠ΅ΡΠ΅ΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ Π²Π΅ΠΊΡΠΎΡΠΎΠ² ΠΊ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΠ°ΠΌ Π Π‘-ΠΊΠΎΠ΄ΠΎΠ² ΠΌΠΎΠΆΠ½ΠΎ ΠΎΡΠ½Π΅ΡΡΠΈ ΠΈ Π³ΠΎΠΌΠΎΡΠ΅ΡΠΈΠΈ, ΠΈΠ»ΠΈ Π°ΡΡΠΈΠ½Π½ΡΠ΅ ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ, ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΠΎΠ½ΠΈ ΡΠ°ΠΊΠΆΠ΅ ΠΎΠ±ΡΠ°Π·ΡΡΡ ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΡΡ Π³ΡΡΠΏΠΏΡ Π ΠΏΠΎΡΡΠ΄ΠΊΠ° N. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈ Π°ΡΡΠΈΠ½Π½Π°Ρ ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ ΠΊΠΎΠΌΠΌΡΡΠΈΡΡΡΡ Π΄ΡΡΠ³ Ρ Π΄ΡΡΠ³ΠΎΠΌ, ΡΡΠΎ, Π²ΠΎΠΎΠ±ΡΠ΅ Π³ΠΎΠ²ΠΎΡΡ, Π½Π΅ ΡΠΈΠΏΠΈΡΠ½ΠΎ Π΄Π»Ρ Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΎΡΠΎΠ² ΠΈ ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ. ΠΡΡΠΏΠΏΠ° Π ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ, Π³ΡΡΠΏΠΏΠ° Π Π°ΡΡΠΈΠ½Π½ΡΡ
ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ ΠΈ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½Π΅Π½Π½Π°Ρ ΠΠ Π³ΡΡΠΏΠΏΠ° ΠΏΠΎΡΡΠ΄ΠΊΠ° N2 ΠΏΠΎΡΠΎΠΆΠ΄Π°ΡΡ 3 Π²ΠΈΠ΄Π° ΠΎΡΠ±ΠΈΡ ΠΎΡΠΈΠ±ΠΎΠΊ Π² Π Π‘-ΠΊΠΎΠ΄Π°Ρ
. ΠΠ·ΡΡΠ΅Π½ΠΎ ΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΎΡΠ±ΠΈΡ ΠΎΡΠΈΠ±ΠΎΠΊ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π³ΡΡΠΏΠΏ Π, Π ΠΈ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½Π΅Π½Π½ΠΎΠΉ Π³ΡΡΠΏΠΏΡ ΠΠ {231 ΡΠ»ΠΎΠ²ΠΎ}
Laboratory Diagnostics of Coccidioidomycosis
Coccidioidomycosis is a systemic disease induced by dimorphic fungi Coccidioides and C. posadasii. Its causative agents - primary pathogens - are endemic for American states. However introduced cases of the disease can be traced in some other world regions too. This paper contains summarized foreign literature data on the issue. Presented are the results of our own investigations on the problem of Coccidioidomycosis diagnostics. Discussed are also problems and prospective of the development of a diagnostic preparations designed to detect and identify Coccidioides spp
ΠΠΎΡΡΠ΅ΠΊΡΠΈΡ ΠΎΡΠΈΠ±ΠΎΠΊ Π² ΠΊΠΎΠ΄Π°Ρ Π ΠΈΠ΄Π°βΠ‘ΠΎΠ»ΠΎΠΌΠΎΠ½Π° Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΈΡ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΠΎΠ²
The article explores the syndrome invariants of ΠΠ-group of automorphisms of ReedβSolomon codes (RS-codes) that are a joint group of affine and cyclic permutations. The found real invariants are a set of norms of N Π-orbits that make up one or another ΠΠ-orbit. The norms of Π-orbits are vectors with 2 1 CΞ΄β coordinates from the Galois field, that are determined by all kinds of pairs of components of the error syndromes. In this form, the invariants of the ΠΠ-orbits were cumbersome and difficult to use. Therefore, their replacement by conditional partial invariants is proposed. These quasi-invariants are called norm-projections. Norm-projection uniquely identifies its ΠΠ-orbit and therefore serves as an adequate way for formulating the error correction method by RS-codes based on ΠΠ-orbits. The power of the ΠΠ-orbits is estimated by the value of N2, equal to the square of the length of the RS-code. The search for error vectors in transmitted messages by a new method is reduced to parsing the ΠΠβorbits, but actually their norm-projections, with the subsequent search for these errors within a particular ΠΠ-orbit. Therefore, the proposed method works almost N2 times faster than traditional syndrome methods, operating on the basic of the βsyndrome β errorβ principle, that boils down to parsing the entire set of error vectors until a specific vector is found.ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ½ΡΠ΅ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ ΠΠ-Π³ΡΡΠΏΠΏΡ Π°Π²ΡΠΎΠΌΠΎΡΡΠΈΠ·ΠΌΠΎΠ² ΠΊΠΎΠ΄ΠΎΠ² Π ΠΈΠ΄Π°βΠ‘ΠΎΠ»ΠΎΠΌΠΎΠ½Π° (Π Π‘βΠΊΠΎΠ΄Π°Ρ
) β ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΡ Π°ΡΡΠΈΠ½Π½ΡΡ
ΠΈ ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄ΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ. ΠΠ°ΠΉΠ΄Π΅Π½Π½ΡΠ΅ ΡΠ΅Π°Π»ΡΠ½ΡΠ΅ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠΎΠ±ΠΎΠΉ ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΡ Π½ΠΎΡΠΌ N Π-ΠΎΡΠ±ΠΈΡ, ΡΠΎΡΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΡ ΠΈΠ»ΠΈ ΠΈΠ½ΡΡ ΠΠ-ΠΎΡΠ±ΠΈΡΡ. ΠΠΎΡΠΌΡ Π-ΠΎΡΠ±ΠΈΡ, ΠΊΠ°ΠΊ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎ, ΡΠ²Π»ΡΡΡΡΡ Π²Π΅ΠΊΡΠΎΡΠ°ΠΌΠΈ Ρ 2 1 CΞ΄β ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°ΡΠ°ΠΌΠΈ ΠΈΠ· ΠΏΠΎΠ»Ρ ΠΠ°Π»ΡΠ° β ΠΏΠΎΠ»Ρ Π·Π°Π΄Π°Π½ΠΈΡ Π Π‘-ΠΊΠΎΠ΄Π°, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ Π²ΡΠ΅Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠΈ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠ² ΠΎΡΠΈΠ±ΠΎΠΊ. Π ΡΠ°ΠΊΠΎΠΌ Π²ΠΈΠ΄Π΅ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ ΠΠ-ΠΎΡΠ±ΠΈΡ ΠΎΠΊΠ°Π·Π°Π»ΠΈΡΡ Π³ΡΠΎΠΌΠΎΠ·Π΄ΠΊΠΈΠΌΠΈ ΠΈ ΡΡΠΆΠ΅Π»ΠΎΠ²Π΅ΡΠ½ΡΠΌΠΈ Π² ΠΎΠ±ΡΠ°ΡΠ΅Π½ΠΈΠΈ. ΠΠΎΡΡΠΎΠΌΡ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΊΠΎΠΌΠΏΡΠΎΠΌΠΈΡΡΠ½Π°Ρ ΠΈΡ
Π·Π°ΠΌΠ΅Π½Π° Π½Π° ΡΡΠ»ΠΎΠ²Π½ΡΠ΅, ΡΠ°ΡΡΠΈΡΠ½ΡΠ΅ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ. ΠΡΠΈ ΠΊΠ²Π°Π·ΠΈ-ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ ΠΏΠΎΠ»ΡΡΠΈΠ»ΠΈ Π½Π°Π·Π²Π°Π½ΠΈΠ΅ Π½ΠΎΡΠΌ-ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΉ. ΠΠΎΡΠΌΠ°-ΠΏΡΠΎΠ΅ΠΊΡΠΈΡ ΠΎΠ΄Π½ΠΎΠ·Π½Π°ΡΠ½ΠΎ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΡΠ΅Ρ ΡΠ²ΠΎΡ ΠΠ-ΠΎΡΠ±ΠΈΡΡ ΠΈ ΠΏΠΎΡΠΎΠΌΡ ΡΠ»ΡΠΆΠΈΡ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΡΠΌ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠΌ Π΄Π»Ρ ΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²ΠΊΠΈ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ ΠΎΡΠΈΠ±ΠΎΠΊ Π Π‘-ΠΊΠΎΠ΄Π°ΠΌΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΠ-ΠΎΡΠ±ΠΈΡ. ΠΠΎΡΠ½ΠΎΡΡΡ ΠΠ-ΠΎΡΠ±ΠΈΡ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π΅ΡΡΡ Π²Π΅Π»ΠΈΡΠΈΠ½ΠΎΠΉ N2, ΡΠ°Π²Π½ΠΎΠΉ ΠΊΠ²Π°Π΄ΡΠ°ΡΡ Π΄Π»ΠΈΠ½Ρ Π Π‘-ΠΊΠΎΠ΄Π°. ΠΠΎΠΈΡΠΊ Π²Π΅ΠΊΡΠΎΡΠΎΠ²-ΠΎΡΠΈΠ±ΠΎΠΊ Π² ΠΏΠ΅ΡΠ΅Π΄Π°Π²Π°Π΅ΠΌΡΡ
ΡΠΎΠΎΠ±ΡΠ΅Π½ΠΈΡΡ
Π½ΠΎΠ²ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΊ ΠΏΠ΅ΡΠ΅Π±ΠΎΡΡ ΠΠ-ΠΎΡΠ±ΠΈΡ, Π° ΡΠ΅Π°Π»ΡΠ½ΠΎ β ΠΈΡ
Π½ΠΎΡΠΌ-ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΉ, Ρ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΠΌ ΠΏΠΎ- ΠΈΡΠΊΠΎΠΌ ΡΡΠΈΡ
ΠΎΡΠΈΠ±ΠΎΠΊ Π²Π½ΡΡΡΠΈ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΠΠ-ΠΎΡΠ±ΠΈΡΡ. Π‘Π»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎ, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄ ΡΠ°Π±ΠΎΡΠ°Π΅Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Π² N2 ΡΠ°Π· Π±ΡΡΡΡΠ΅Π΅ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΠ½Π΄ΡΠΎΠΌΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ², Π΄Π΅ΠΉΡΡΠ²ΡΡΡΠΈΡ
ΠΏΠΎ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ Β«ΡΠΈΠ½Π΄ΡΠΎΠΌ-ΠΎΡΠΈΠ±ΠΊΠΈΒ», ΡΡΠΎ, ΡΠ°ΠΊ ΠΈΠ»ΠΈ ΠΈΠ½Π°ΡΠ΅, ΡΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΊ ΠΏΠ΅ΡΠ΅Π±ΠΎΡΡ Π²ΡΠ΅Π³ΠΎ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΡΠ΅ΠΌΡΡ
ΠΊΠΎΠ΄ΠΎΠΌ Π²Π΅ΠΊΡΠΎΡΠΎΠ²-ΠΎΡΠΈΠ±ΠΎΠΊ Π΄ΠΎ Π½Π°Ρ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ Π²Π΅ΠΊΡΠΎΡΠ°
West Nile Fever Epidemic Situation in the Russian Federation Territory in 2011 and Prognosis of its Development
Presented is characteristic of West Nile Fever (WNF) epidemiologic situation in the Russian Federation in 2011. Expansion of the territories involved in the epidemic process and formation of the new WNF foci are observed. Data on WNF morbidity in June-October 2011 in ten regions of Russia are presented. Described are clinical and epidemiologic peculiarities of WNF morbidity in 2011. WNF agent markers are detected in the territory of 38 regions of Russia, suggesting its circulation on the vast areas of the country. Prognosis on WNF epidemic situation in the Russian Federation is considered to be dependent on many factors, climate warming being the most global one. Natural foci emergence and WNF cases registration are expected in the near future in the central regions of European part of Russia and forest-steppe area of Southern Siberia. WNF diagnostics improvement is thought to confer for better registration of the cases and detection of further enlargement of endemic territories
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΉ ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π°, ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΡ Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΠΌΠ½ΠΎΠ³ΠΎΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΎΠΉ ΡΠ½Π΄ΠΎΡΡΠ°Ρ Π΅Π°Π»ΡΠ½ΠΎΠΉ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ, Π½Π° ΡΡΡΡΠΊΡΡΡΠ½ΠΎ-ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΡΠΈΡΡΠΎΡΠΈΡΠΎΠ²
Objective: to study the effect of different concentrations of oxygen on structural and functional parameters of red blood cells during balanced multicomponent sevoflurane-based endotracheal anesthesia. Subjects and methods. The prospective, randomized trial enrolled 20 persons (aged 52.7Β±16.2 years) who underwent the same surgical procedure. The patients were divided into 2 groups, which differed inintraoperatively used oxygen concentration in the inspired mixture,50% FiO2 (group 1) and 21% FiO2 (Group 2). A morphological difractometric analysis of patientsβ red blood cells was performed preoperatively, intraoperatively, and after anesthesia. Results. In Group 1, red blood cells demonstrated statistically significant trend towards macrocytosis (82.4Β±23.3 fl before general anesthesia versus 85.1Β±20.6 fl after anesthesia; Ρ=0.02); in group 2, there were no statistically significant changes in red blood cell volumes. Lateral light scattering was ignificantly decreased after anesthesia in Group 1 (146.2Β±17.7 U versus 162.9Β±23.0 U prior to anesthesia (Ρ<0.005) and 156.4Β±16.3 U during the surgery (Ρ<0.05)). The coefficient of variation in half-height of lateral light scattering of red blood cells was also significantly increased at the final stage of observation in Group 1 (26.3Β±3.1 U versus 22.1Β±5.0 U during surgery, ΡKey words: red blood cells, homeostasis, general anesthesia, hyperoxia, morphological difractometry.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ . ΠΠ·ΡΡΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΉ ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π°, ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΡ
Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΡΠ±Π°Π»Π°Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΌΠ½ΠΎΠ³ΠΎΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΎΠΉ ΡΠ½Π΄ΠΎΡΡΠ°Ρ
Π΅Π°Π»ΡΠ½ΠΎΠΉ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Π²ΠΎΡΠ»ΡΡΠ°Π½Π°, Π½Π° ΡΡΡΡΠΊΡΡΡΠ½ΠΎ-ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΡΠΈΡΡΠΎΡΠΈΡΠΎΠ². ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅, ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π±ΡΠ»ΠΎ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΎ 20 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ (52,7Β±16,2 Π»Π΅Ρ), ΠΊΠΎΡΠΎΡΡΠΌ Π²ΡΠΏΠΎΠ»Π½ΡΠ»ΠΎΡΡ ΠΎΠ΄Π½ΠΎΡΠΈΠΏΠ½ΠΎΠ΅ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²ΠΎ. ΠΠ°ΡΠΈΠ΅Π½ΡΡ Π±ΡΠ»ΠΈ ΡΠ°Π·Π΄Π΅Π»Π΅Π½Ρ Π½Π° Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠΉ ΠΈΠ½ΡΡΠ°ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π° Π²ΠΎ Π²Π΄ΡΡ
Π°Π΅ΠΌΠΎΠΉ ΡΠΌΠ΅ΡΠΈ (Ρ FiO2 50% (Π³ΡΡΠΏΠΏΠ° 1) ΠΈ 21% (Π³ΡΡΠΏΠΏΠ° 2). ΠΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΌΠΎΡΡΠΎΠ΄ΠΈΡΡΠ°ΠΊΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΡΠΈΡΡΠΎΡΠΈΡΠΎΠ² ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π° ΡΡΠ΅Ρ
ΡΡΠ°ΠΏΠ°Ρ
(Π΄ΠΎ Π½Π°ΡΠ°Π»Π° ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ, Π²ΠΎ Π²ΡΠ΅ΠΌΡ Π½Π΅Π΅ ΠΈ ΠΏΠΎΡΠ»Π΅ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ). Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π Π³ΡΡΠΏΠΏΠ΅, Π³Π΄Π΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ FiO2 ΡΠ°Π²Π½ΠΎΠ΅ 50%, Π½Π°Π±Π»ΡΠ΄Π°Π»Π°ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠ°Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΡΡΠΈΡΡΠΎΡΠΈΡΠΎΠ² ΠΊ ΠΌΠ°ΠΊΡΠΎΡΠΈΡΠΎΠ·Ρ (82,4Β±23,3 ΡΠ» Π΄ΠΎ Π½Π°ΡΠ°Π»Π° ΠΎΠ±ΡΠ΅ΠΉ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ, ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ 85,1Β±20,6 ΡΠ» ΠΏΠΎΡΠ»Π΅ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ; Ρ=0,02), Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ Π³ΡΡΠΏΠΏΠΎΠΉ Ρ FiO2 ΡΠ°Π²Π½ΡΠΌ 21%, Π³Π΄Π΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΎΠ±ΡΠ΅ΠΌΠ° ΡΡΠΈΡΡΠΎΡΠΈΡΠΎΠ² Π½Π΅ Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΎΡΡ. ΠΠΎΠΊΠΎΠ²ΠΎΠ΅ ΡΠ²Π΅ΡΠΎΡΠ°ΡΡΠ΅ΠΈΠ²Π°Π½ΠΈΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ½ΠΈΠ·ΠΈΠ»ΠΎΡΡ ΠΏΠΎΡΠ»Π΅ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ Π² 1 Π³ΡΡΠΏΠΏΠ΅ (146,2Β±17,7 Π΅Π΄. Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ 162,9Β±23,0 Π΅Π΄. Π΄ΠΎ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ (Ρ<0,005) ΠΈ 156,4Β±16,3 Π΅Π΄. Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ (Ρ<0,05). ΠΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ Π²Π°ΡΠΈΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΡΠ²ΡΡΠΎΡΡ Π±ΠΎΠΊΠΎΠ²ΠΎΠ³ΠΎ ΡΠ²Π΅ΡΠΎΡΠ°ΡΡΠ΅ΠΈΠ²Π°Π½ΠΈΡ ΡΡΠΈΡΡΠΎΡΠΈΡΠΎΠ² ΡΠ°ΠΊΠΆΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π»ΡΡ Π½Π° ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅ΠΌ ΡΡΠ°ΠΏΠ΅ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ Π² 1 Π³ΡΡΠΏΠΏΠ΅ (26,3Β±3,1 Π΅Π΄. Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ 22,1Β±5,0 Π΅Π΄. Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ (Ρ<0,05) ΠΈ 20,8Β±3,9 Π΅Π΄. Π΄ΠΎ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ (Ρ<0,005). ΠΠΎ Π²ΡΠΎΡΠΎΠΉ ΠΆΠ΅ Π³ΡΡΠΏΠΏΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΡΠΈΡ
Π΄Π²ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² Π½Π΅ Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΎΡΡ. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ°ΠΌΠΈ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΡΡ
Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ² Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π³ΠΈΠΏΠ΅ΡΠΎΠΊΡΠΈΠΈ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠΎΡΠΌΡ ΠΈ ΡΠ²ΠΎΠΉΡΡΠ² ΡΡΠΈΡΡΠΎΡΠΈΡΠΎΠ², ΡΡΠΎ ΡΠ²ΡΠ·Π°Π½ΠΎ, Π²Π΅ΡΠΎΡΡΠ½ΠΎ, Ρ ΡΠΎΡΡΠΎΠΌ ΡΡΠΎΠ²Π½Ρ ΠΏΡΠΎΠΎΠΊΡΠΈΠ΄Π°Π½ΡΠΎΠ². ΠΠ»ΡΡΠ΅Π²ΡΠ΅ ΡΠ»ΠΎΠ²Π°: ΡΡΠΈΡΡΠΎΡΠΈΡΡ, Π³ΠΎΠΌΠ΅ΠΎΡΡΠ°Π·, ΠΎΠ±ΡΠ°Ρ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΡ, Π³ΠΈΠΏΠ΅ΡΠΎΠΊΡΠΈΡ, ΠΌΠΎΡ-ΡΠΎΠ΄ΠΈΡΡΠ°ΠΊΡΠΎΠΌΠ΅ΡΡΠΈΡ
COMPARATIVE ANALYSIS OF EFFICIENCY OF ACCELEROMYOGRAPHY AND KINEMYOGRAPHY TO MONITOR NEUROMUSCULAR TRANSMISSION
The purpose of the study is to compare two techniques of neuromuscular transmission (acceleromyography and kinemyography) during multicomponent anesthesia during abdominal laparoscopic surgery. The average value of the difference between methods during the block start makes 9.6% (95% CI 7.2β12.1), lower agreement limit makes 24.1%, upper agreement level makes +43.3%. The average value of the difference between methods regarding restoration of neuromuscular transmission makes 3.1% (95% CI 3.1-7.5), lower agreement limit makes 24.1%, and upper limit makes 24.0%. The both above techniques are accurate, confident, simple and can be used for evaluation of neuromuscular transmission