504 research outputs found
Genus <i>Nicotiana</i> L.: a review of traits significant for ornamental crop production
Background. The collection of Nicotiana L. species (Solanaceae) maintained at the All-Russian Scientific Research Institute of Tobacco, Makhorka and Tobacco Products (VNIITTI) is a valuable genetic resource used in breeding and genetic research on interspecific hybridization, cytoplasmic male sterility, and as a genebank for resistance to major tobacco diseases. Many species have ornamental features and properties: bright color and unusual morphology of the corolla, aroma, peculiar plant shape and others, and are promising for use in landscaping and garden designing. To identify and evaluate such species the collection was for the first time screened for a set of morphological and ornamental characters.Materials and methods. Thirty-seven accessions of Nicotiana spp. were studied in the greenhouses and at the experimental breeding site of VNIITTI using breeding methods and agricultural practices developed at the Institute and generally accepted in crop production.Results and conclusion. Phenotypic assessment of 37 Nicotiana accessions resulted in identifying for the first time 14 traits of ornamental value and selecting 18 original species and 10 hybrids of N. alata Γ N. Γ sanderae environmentally adapted to the local conditions and promising for landscaping and garden designing: with bright flowers, prolonged flowering, and relative resistance to stressful weather conditions. The typicality and stability of their progeny was assessed, and their germplasm was maintained and preserved in vivo
Π‘Π»ΡΡΠ°ΠΉ Π½ΠΎΠ²ΠΎΠΉ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ COVID-19 Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°, Π½Π°Ρ ΠΎΠ΄ΡΡΠ΅Π³ΠΎΡΡ Π½Π° Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠΌ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·ΠΎΠΌ
Coronavirus infection (COVID-19) is an acute infectious disease caused by a new strain of the virus of the genus coronavirus SARS-CoV-2 with the aerosol-droplet and contact-household transmission mechanism; patogenetically local and systemic inflammatory process, hyperactive impulsive cascade, endotheliopathy, hypoxia, leading to the development of micro β and microthrombosis; it occurs from asymptomatic to clinically significant forms of intoxication, vascular lesions, lungs, heart, kidneys, and GI tract with risk of complications (ARF, ARDS, sepsis, shock, multiple organ dysfunction SYNDROME, pulmonary embolism). Currently, there are few data on the course of this disease in patients undergoing treatment with program hemodialysis, as well as methods of specific treatment of this group of patients. The article describes the case of the first patient in the Clinical Infectious Hospital named after S.P. Botkin with end-stage chronic kidney disease corrected by program hemodialysis, who had a COVID-19.ΠΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½Π°Ρ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ (COVID-19) β ΠΎΡΡΡΠΎΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅, Π²ΡΠ·ΡΠ²Π°Π΅ΠΌΠΎΠ΅ Π½ΠΎΠ²ΡΠΌ ΡΡΠ°ΠΌΠΌΠΎΠΌ Π²ΠΈΡΡΡΠ° ΠΈΠ· ΡΠΎΠ΄Π° ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠΎΠ² SARS-CoV-2 Ρ Π°ΡΡΠΎΠ·ΠΎΠ»ΡΠ½ΠΎ-ΠΊΠ°ΠΏΠ΅Π»ΡΠ½ΡΠΌ ΠΈ ΠΊΠΎΠ½ΡΠ°ΠΊΡΠ½ΠΎ-Π±ΡΡΠΎΠ²ΡΠΌ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠΌ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ, ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ Π»ΠΎΠΊΠ°Π»ΡΠ½ΡΠΌ ΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΌ ΠΈΠΌΠΌΡΠ½ΠΎΠ²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠΌ, Π³ΠΈΠΏΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡΡ ΠΊΠΎΠ°Π³ΡΠ»ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΊΠ°ΡΠΊΠ°Π΄Π°, ΡΠ½Π΄ΠΎΡΠ΅Π»ΠΈΠΎΠΏΠ°ΡΠΈΠ΅ΠΉ, Π³ΠΈΠΏΠΎΠΊΡΠΈΠ΅ΠΉ, ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΠΈΠΌ ΠΊ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠΈΠΊΡΠΎ- ΠΈ ΠΌΠ°ΠΊΡΠΎΡΡΠΎΠΌΠ±ΠΎΠ·ΠΎΠ², ΠΏΡΠΎΡΠ΅ΠΊΠ°Π΅Ρ ΠΎΡ Π±Π΅ΡΡΠΈΠΌΠΏΡΠΎΠΌΠ½ΡΡ
Π΄ΠΎ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΡΡ
ΡΠΎΡΠΌ Ρ ΠΈΠ½ΡΠΎΠΊΡΠΈΠΊΠ°ΡΠΈΠ΅ΠΉ, ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΎΡΡΠ΄ΠΎΠ², Π»Π΅Π³ΠΊΠΈΡ
, ΡΠ΅ΡΠ΄ΡΠ°, ΠΏΠΎΡΠ΅ΠΊ, ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ° Ρ ΡΠΈΡΠΊΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ (ΠΎΡΡΡΠ°Ρ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½Π°Ρ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΡ, ΠΎΡΡΡΡΠΉ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠΉ Π΄ΠΈΡΡΡΠ΅ΡΡ-ΡΠΈΠ½Π΄ΡΠΎΠΌ, ΡΠ΅ΠΏΡΠΈΡ, ΡΠΎΠΊ, ΡΠΈΠ½Π΄ΡΠΎΠΌ ΠΏΠΎΠ»ΠΈΠΎΡΠ³Π°Π½Π½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ, ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΡ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ). Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΈΠΌΠ΅ΡΡΡΡ Π½Π΅ΠΌΠ½ΠΎΠ³ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΠΈ Π΄Π°Π½Π½ΠΎΠ³ΠΎ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π½Π°Ρ
ΠΎΠ΄ΡΡΠΈΡ
ΡΡ Π½Π° Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠΌ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·ΠΎΠΌ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ΅ΡΠΎΠ΄Π°Ρ
ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π»Π΅ΡΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠΉ Π³ΡΡΠΏΠΏΡ Π±ΠΎΠ»ΡΠ½ΡΡ
. Π ΡΡΠ°ΡΡΠ΅ ΠΎΠΏΠΈΡΠ°Π½ ΡΠ»ΡΡΠ°ΠΉ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° Π² ΠΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±ΠΎΠ»ΡΠ½ΠΈΡΠ΅ ΠΈΠΌΠ΅Π½ΠΈ Π‘.Π. ΠΠΎΡΠΊΠΈΠ½Π° Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΠΏΠΎΡΠ΅ΠΊ ΡΠ΅ΡΠΌΠΈΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΡΠ°Π΄ΠΈΠΈ, ΠΊΠΎΡΡΠΈΠ³ΠΈΡΡΠ΅ΠΌΠΎΠΉ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠΌ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·ΠΎΠΌ, ΠΏΠ΅ΡΠ΅Π½Π΅ΡΡΠ΅Π³ΠΎ COVID-19
Three-Dimensional Simulations of a Starburst-Driven Galactic Wind
We have performed a series of three-dimensional simulations of a
starburst-driven wind in an inhomogeneous interstellar medium. The introduction
of an inhomogeneous disk leads to differences in the formation of a wind, most
noticeably the absence of the ``blow-out'' effect seen in homogeneous models. A
wind forms from a series of small bubbles that propagate into the tenuous gas
between dense clouds in the disk. These bubbles merge and follow the path of
least resistance out of the disk, before flowing freely into the halo.
Filaments are formed from disk gas that is broken up and accelerated into the
outflow. These filaments are distributed throughout a biconical structure
within a more spherically distributed hot wind. The distribution of the
inhomogeneous interstellar medium in the disk is important in determining the
morphology of this wind, as well as the distribution of the filaments. While
higher resolution simulations are required in order to ascertain the importance
of mixing processes, we find that soft X-ray emission arises from gas that has
been mass-loaded from clouds in the disk, as well as from bow shocks upstream
of clouds, driven into the flow by the ram pressure of the wind, and the
interaction between these shocks.Comment: 37 pages, 16 figures, mpg movie can be obtained at
http://www.mso.anu.edu.au/~jcooper/movie/video16.mpg, accepted for
publication in Ap
Dark Matter Search Perspectives with GAMMA-400
GAMMA-400 is a future high-energy gamma-ray telescope, designed to measure
the fluxes of gamma-rays and cosmic-ray electrons + positrons, which can be
produced by annihilation or decay of dark matter particles, and to survey the
celestial sphere in order to study point and extended sources of gamma-rays,
measure energy spectra of Galactic and extragalactic diffuse gamma-ray
emission, gamma-ray bursts, and gamma-ray emission from the Sun. GAMMA-400
covers the energy range from 100 MeV to ~3000 GeV. Its angular resolution is
~0.01 deg(Eg > 100 GeV), and the energy resolution ~1% (Eg > 10 GeV). GAMMA-400
is planned to be launched on the Russian space platform Navigator in 2019. The
GAMMA-400 perspectives in the search for dark matter in various scenarios are
presented in this paperComment: 4 pages, 4 figures, submitted to the Proceedings of the International
Cosmic-Ray Conference 2013, Brazil, Rio de Janeir
ΠΠΈΠ½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΠ°ΡΡΠ²ΠΎΡΠ΅Π½ΠΈΡ PdCl2 Π² Π²ΠΎΠ΄Π½ΠΎ-Ρ Π»ΠΎΡΠΈΠ΄Π½ΡΡ Π‘Π ΠΠΠ°Ρ
The reaction of dissolution of solid PdCl2 in water-chloride media at room temperature was studied. It was established that the reaction proceeds via a mechanism of topochemical reaction. With the ionic strength fixed, the reaction rate constant is shown to depend on the chloride ion concentration with n = -2, thus confirming that this reaction goes through the formation of hydroxyl and aquachloride complexes of palladium. At low chlorides background Π‘ (NaCl) < 0.3 M, and the topochemical nature of the reaction is mainly determined by hydroxide concentration in equilibrium with aquachloride complexes of palladium. The nature and rate of topochemical reaction is determined by concentration of NaCl. With decreasing the concentration of chloride ion from 1 M to 0.2 M reaction proceeds from kinetic to diffusion region.ΠΠ·ΡΡΠ΅Π½Π° ΡΠ΅Π°ΠΊΡΠΈΡ ΡΠ°ΡΡΠ²ΠΎΡΠ΅Π½ΠΈΡ ΡΠ²Π΅ΡΠ΄ΠΎΠ³ΠΎ PdCl2 Π² Π²ΠΎΠ΄Π½ΠΎ-Ρ
Π»ΠΎΡΠΈΠ΄Π½ΡΡ
ΡΡΠ΅Π΄Π°Ρ
ΠΏΡΠΈ ΠΊΠΎΠΌΠ½Π°ΡΠ½ΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ΅. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΎΠ½Π° ΠΏΡΠΎΡΠ΅ΠΊΠ°Π΅Ρ ΠΏΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΡ ΡΠΎΠΏΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΈ
Two novel approaches for photometric redshift estimation based on SDSS and 2MASS databases
We investigate two training-set methods: support vector machines (SVMs) and
Kernel Regression (KR) for photometric redshift estimation with the data from
the Sloan Digital Sky Survey Data Release 5 and Two Micron All Sky Survey
databases. We probe the performances of SVMs and KR for different input
patterns. Our experiments show that the more parameters considered, the
accuracy doesn't always increase, and only when appropriate parameters chosen,
the accuracy can improve. Moreover for different approaches, the best input
pattern is different. With different parameters as input, the optimal bandwidth
is dissimilar for KR. The rms errors of photometric redshifts based on SVM and
KR methods are less than 0.03 and 0.02, respectively. Finally the strengths and
weaknesses of the two approaches are summarized. Compared to other methods of
estimating photometric redshifts, they show their superiorities, especially KR,
in terms of accuracy.Comment: accepted for publication in ChJA
The GAMMA-400 space observatory: status and perspectives
The present design of the new space observatory GAMMA-400 is presented in
this paper. The instrument has been designed for the optimal detection of gamma
rays in a broad energy range (from ~100 MeV up to 3 TeV), with excellent
angular and energy resolution. The observatory will also allow precise and high
statistic studies of the electron component in the cosmic rays up to the multi
TeV region, as well as protons and nuclei spectra up to the knee region. The
GAMMA-400 observatory will allow to address a broad range of science topics,
like search for signatures of dark matter, studies of Galactic and
extragalactic gamma-ray sources, Galactic and extragalactic diffuse emission,
gamma-ray bursts and charged cosmic rays acceleration and diffusion mechanism
up to the knee
The Minimum Stellar Mass in Early Galaxies
The conditions for the fragmentation of the baryonic component during merging
of dark matter halos in the early Universe are studied. We assume that the
baryonic component undergoes a shock compression. The characteristic masses of
protostellar molecular clouds and the minimum masses of protostars formed in
these clouds decrease with increasing halo mass. This may indicate that the
initial stellar mass function in more massive galaxies was shifted towards
lower masses during the initial stages of their formation. This would result in
an increase of the number of stars per unit halo mass, i.e., the efficiency of
star formation.Comment: 18 pages, 7 figure
A New Model for the Spiral Structure of the Galaxy. Superposition of 2+4-armed patterns
We investigate the possibility of describing the spiral pattern of the Milky
Way in terms of a model of superposition 2- and 4-armed wave harmonics (the
simplest description, besides pure modes). Two complementary methods are used:
a study of stellar kinematics, and direct tracing of positions of spiral arms.
In the first method, the parameters of the galactic rotation curve and the free
parameters of the spiral density waves were obtained from Cepheid kinematics,
under different assumptions. To turn visible the structure corresponding to
these models, we computed the evolution of an ensemble of N-particles,
simulating the ISM clouds, in the perturbed galactic gravitational field. In
the second method, we present a new analysis of the longitude-velocity (l-v)
diagram of the sample of galactic HII regions, converting positions of spiral
arms in the galactic plane into locii of these arms in the l-v diagram. Both
methods indicate that the ``self-sustained'' model, in which the 2-armed and
4-armed mode have different pitch angles (6 arcdeg and 12 arcdeg, respectively)
is a good description of the disk structure. An important conclusion is that
the Sun happens to be practically at the corotation circle. As an additional
result of our study, we propose an independent test for localization of the
corotation circle in a spiral galaxy: a gap in the radial distribution of
interstellar gas has to be observed in the corotation region.Comment: 17 pages, 9 figures, Latex, uses aas2pp4.st
ΠΠ½Π°Π»ΠΈΠ· Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° Π½Π° ΠΊΡΠ°ΡΠΊΠΎΡΡΠΎΡΠ½ΡΠ΅ ΠΈ ΠΎΡΠ΄Π΅Π»Π΅Π½Π½ΡΠ΅ ΠΈΡΡ ΠΎΠ΄Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ COVID-19 Π½Π° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠΌ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·Π΅
Patients receiving renal replacement therapy (RRT) in the form of maintenance hemodialysis (MHD) belong to a group of particularly high risk of infection and the course of COVID-19. The new coronavirus infection also has a great impact on long-term outcomes.Materials and methods: A retrospective observational study included 510 patients on MHD, hospitalized from April 1, 2020 to April 01, 2021. The outcome of hospitalization was chosen as the primary endpoint of the study: discharge or 28day mortality. Death within 6 months after discharge and the development of complications related to COVID-19 during this period were considered as secondary endpoints. Data collection was carried out by analyzing electronic and archival medical records. Quantitative variables: age, duration of hospitalization, days in the intensive care unit, laboratory blood parameters: the level of D-Dimer, Glucose, Interleukin-6, Procalcitonin, Lymphocytes and Platelets, CRP, CPK, CPK-MB, LDH, Fibrinogen, Ferritin. Qualitative indicators: gender, ventilator, ARDS, the presence of diabetes, the presence of obesity, the presence of complications: cardiovascular, gastrointestinal, septic, macrothrombotic, stage of pneumonia. To identify statistically significant predictors of the risk of an event, the odds ratio (OR) method was used.Results: average age 57.8Β±14 years, men β 59.5%, average bed day 17.6Β±10.6 days. In concomitant diseases, diabetes mellitus was indicated in 24% of patients, obesity was registered in 4.3% of patients. Hospital mortality (28-day) in the total cohort of follow-up was 16.05%, in total with out-ofhospital mortality of 22%. Mortality in intensive care reached 62.7%, on ventilator more than 86%, with ARDS 94.3%. No statistical significance was revealed by gender and the presence of diabetes mellitus (DM) in concomitant diseases. When comparing short-term outcomes, the age groups over 65 differed statistically. The following laboratory blood parameters showed a significant difference (P<0.001): D-Dimer, Glucose, IL-6 lymphocytes, Leukocytes, Neutrophils, Platelets, LDH, Ferritin. The following odds ratios (OR) were obtained: ARDS (OR 143.78; 95% CI 33.4-616.2; p=0.0001), on ventilator (OR 57.96; 95% CI 23.1-144.5; p=0.0001), the presence of septic complications (OR 26.4; 95% CI 13.8-50; p=0.0001), the course of the disease is defined as severe (OR 25; 95% CI 12.9-48.2; p=0.0001), the course of the disease is defined as complicated (OR 11.6; 95% CI 6.8-19.7; p=0.0001), the presence of gastrointestinal complications (OR 6.5; 95% CI 2.28-18.4; p=0.0007), the presence of obesity (OR 2.57; 95% CI 1.0-6.5; p=0.039). Mortality of patients receiving two main treatment regimens T-1 and T-2 did not differ (15.8% vs 15.7%). Significant differences (p=0.0001) appeared when compared with the T-0 and T-4 schemes, in which mortality was recorded at 8.8% and 85.7%, respectively. When comparing long-term outcomes, the analysis did not reveal statistical significance by gender. The statistical difference was noted by age. Among laboratory indicators, the PCT level was higher in survivors with complications. A significant difference among all survivors and deceased (P<0.001) was shown by: D-Dimer, blood glucose level, IL-6, CRP. The highest OR was calculated for the following indicators: the presence of gastrointestinal complications (OR 7.7; 95% CI 1.0-57.7; p=0.03), the initial LDH blood level of 622 units /l (OR 4.7; 95% CI 1.63-13.63; p=0.0086), the course of the disease defined as complicated (OR 4.05; 95% 1.97-8.33; p=0.003), the course of the disease is defined as severe (OR 2.4; 95% CI 1.17-5.0; p=0.03).Conclusions: gastrointestinal complications had the greatest impact on unfavorable short-term and long-term outcomes in patients on programmed hemodialysis. In relation to such laboratory markers as Ferritin, CRH, LDH, threshold values of a significant increase in the chances characteristic of dialysis patients were obtained. During the first year of the epidemic, therapy remained largely supportive and aimed at preventing complications, the main isolated treatment regimens showed no significant differences in the impact on the outcomes of COVID-19.ΠΠ°ΡΠΈΠ΅Π½ΡΡ, ΠΏΠΎΠ»ΡΡΠ°ΡΡΠΈΠ΅ Π·Π°ΠΌΠ΅ΡΡΠΈΡΠ΅Π»ΡΠ½ΡΡ ΠΏΠΎΡΠ΅ΡΠ½ΡΡ ΡΠ΅ΡΠ°ΠΏΠΈΡ Π² Π²ΠΈΠ΄Π΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·Π°, ΠΎΡΠ½ΠΎΡΡΡΡΡ ΠΊ Π³ΡΡΠΏΠΏΠ΅ ΠΎΡΠΎΠ±ΠΎ Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° ΠΈΠ½ΡΠΈΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ SARS-CoV-2 ΠΈ ΡΡΠΆΠ΅Π»ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ COVID-19. ΠΠΎΠ»ΡΡΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½ΠΎΠ²Π°Ρ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½Π°Ρ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΠΈ Π½Π° ΠΎΡΠ΄Π°Π»Π΅Π½Π½ΡΠ΅ ΠΈΡΡ
ΠΎΠ΄Ρ Ρ Π΄Π°Π½Π½ΠΎΠΉ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ².ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΎΠ±ΡΠ΅ΡΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π±ΡΠ»ΠΈ Π²ΠΊΠ»ΡΡΠ΅Π½Ρ 510 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΏΠΎΠ»ΡΡΠ°ΡΡΠΈΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΠΉ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·, Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΠΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΡΡ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ Π±ΠΎΠ»ΡΠ½ΠΈΡΡ ΠΈΠΌ. Π‘.Π. ΠΠΎΡΠΊΠΈΠ½Π° Ρ 1 Π°ΠΏΡΠ΅Π»Ρ 2020 Π³. ΠΏΠΎ 1 Π°ΠΏΡΠ΅Π»Ρ 2021 Π³. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠΉ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠΉ ΡΠΎΡΠΊΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΠ±ΡΠ°Π½ ΠΈΡΡ
ΠΎΠ΄ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ: Π²ΡΠΏΠΈΡΠΊΠ°/ΠΏΠ΅ΡΠ΅Π²ΠΎΠ΄ ΠΈΠ»ΠΈ 28-Π΄Π½Π΅Π²Π½Π°Ρ (Π²Π½ΡΡΡΠΈΠ³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½Π°Ρ) ΡΠΌΠ΅ΡΡΡ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π²ΡΠΎΡΠΈΡΠ½ΡΡ
ΠΊΠΎΠ½Π΅ΡΠ½ΡΡ
ΡΠΎΡΠ΅ΠΊ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π»ΠΈΡΡ ΡΠΌΠ΅ΡΡΡ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 6 ΠΌΠ΅ΡΡΡΠ΅Π² ΠΏΠΎΡΠ»Π΅ Π²ΡΠΏΠΈΡΠΊΠΈ ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ COVID-19 Π² ΡΡΠΎΡ ΠΏΠ΅ΡΠΈΠΎΠ΄. Π‘Π±ΠΎΡ Π΄Π°Π½Π½ΡΡ
ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΡΡ ΠΏΡΡΠ΅ΠΌ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΡΡ
ΠΈ Π°ΡΡ
ΠΈΠ²Π½ΡΡ
ΠΈΡΡΠΎΡΠΈΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ. ΠΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅: Π²ΠΎΠ·ΡΠ°ΡΡ, ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ Π΄Π½Π΅ΠΉ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ (ΠΊΠΎΠΉΠΊΠΎ-Π΄Π΅Π½Ρ), Π΄Π½Π΅ΠΉ Π² ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ, Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΊΡΠΎΠ²ΠΈ: ΡΡΠΎΠ²Π΅Π½Ρ Π-Π΄ΠΈΠΌΠ΅ΡΠ°, Π³Π»ΡΠΊΠΎΠ·Ρ, ΠΈΠ½ΡΠ΅ΡΠ»Π΅ΠΉΠΊΠΈΠ½Π°-6, ΠΏΡΠΎΠΊΠ°Π»ΡΡΠΈΡΠΎΠ½ΠΈΠ½Π°, Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² ΠΈ ΡΡΠΎΠΌΠ±ΠΎΡΠΈΡΠΎΠ², Π¦Π Π, ΠΠ€Π, ΠΠ€Π-ΠΠ, ΠΠΠ, ΡΠΈΠ±ΡΠΈΠ½ΠΎΠ³Π΅Π½Π°, ΡΠ΅ΡΡΠΈΡΠΈΠ½Π°. ΠΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ: ΠΏΠΎΠ», ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½Π°Ρ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΡ Π»Π΅Π³ΠΊΠΈΡ
, ΠΎΡΡΡΡΠΉ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠΉ Π΄ΠΈΡΡΡΠ΅ΡΡ-ΡΠΈΠ½Π΄ΡΠΎΠΌ, Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΠ°Ρ
Π°ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π±Π΅ΡΠ°, Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ, Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ: ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
, ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ°, ΡΠ΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
, ΠΌΠ°ΠΊΡΠΎΡΡΠΎΠΌΠ±ΠΎΡΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΡΠ°Π΄ΠΈΡ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ. ΠΠ»Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° Π½Π°ΡΡΡΠΏΠ»Π΅Π½ΠΈΡ ΡΠΎΠ±ΡΡΠΈΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ ΠΌΠ΅ΡΠΎΠ΄ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠ°Π½ΡΠΎΠ².Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ 57,8Β±14 Π»Π΅Ρ, ΠΌΡΠΆΡΠΈΠ½Ρ β 59, 5%, ΡΡΠ΅Π΄Π½ΠΈΠΉ ΠΊΠΎΠΉΠΊΠΎ-Π΄Π΅Π½Ρ 17,6Β±10,6 Π΄Π½Π΅ΠΉ. Π ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΡ
ΡΠ°Ρ
Π°ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π±Π΅Ρ Π±ΡΠ» ΡΠΊΠ°Π·Π°Π½ Ρ 24% ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΎ Ρ 4,3% ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². ΠΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½Π°Ρ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ (28-Π΄Π½Π΅Π²Π½Π°Ρ) Π² ΠΎΠ±ΡΠ΅ΠΉ ΠΊΠΎΠ³ΠΎΡΡΠ΅ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 16,05%, Π² ΡΡΠΌΠΌΠ΅ Ρ Π²Π½Π΅Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠΉ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡΡ 22%. Π‘ΠΌΠ΅ΡΡΠ½ΠΎΡΡΡ Π² ΡΠ΅Π°Π½ΠΈΠΌΠ°ΡΠΈΠΈ Π΄ΠΎΡΡΠΈΠ³Π»Π° 62,7%, Π½Π° ΠΠΠ Π±ΠΎΠ»Π΅Π΅ 86%, Ρ ΠΠ ΠΠ‘ 94,3%. ΠΠ΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΠΈ ΠΏΠΎ ΠΏΠΎΠ»Ρ ΠΈ Π½Π°Π»ΠΈΡΠΈΡ Π² ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΡ
ΡΠ°Ρ
Π°ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π±Π΅ΡΠ°. ΠΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΠΊΡΠ°ΡΠΊΠΎΡΡΠΎΡΠ½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ² ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ ΡΠ°Π·Π»ΠΈΡΠ°Π»ΠΈΡΡ Π³ΡΡΠΏΠΏΡ ΠΏΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΡ ΡΡΠ°ΡΡΠ΅ 65 Π»Π΅Ρ. ΠΠ½Π°ΡΠΈΠΌΡΡ ΡΠ°Π·Π½ΠΈΡΡ (P<0,001) ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ ΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΊΡΠΎΠ²ΠΈ: Π-Π΄ΠΈΠΌΠ΅Ρ, Π³Π»ΡΠΊΠΎΠ·Π°, ΠΠ-6, Π»ΠΈΠΌΡΠΎΡΠΈΡΡ, Π»Π΅ΠΉΠΊΠΎΡΠΈΡΡ, Π½Π΅ΠΉΡΡΠΎΡΠΈΠ»Ρ, ΡΡΠΎΠΌΠ±ΠΎΡΠΈΡΡ, ΠΠΠ, ΡΠ΅ΡΡΠΈΡΠΈΠ½. ΠΠΎΠ»ΡΡΠ΅Π½Ρ ΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠ°Π½ΡΠΎΠ²: ΠΎΡΡΡΡΠΉ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠΉ Π΄ΠΈΡΡΡΠ΅ΡΡ-ΡΠΈΠ½Π΄ΡΠΎΠΌ (ΠΠ¨ 143,78; 95% ΠΠ 33,4β616,2; p=0,0001), Π½Π° ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
(ΠΠ¨ 57,96; 95% ΠΠ 23,1β144,5; p=0,0001), Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΠ΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ (ΠΠ¨ 26,4; 95% ΠΠ 13,8β 50; p=0,0001), ΡΡΠΆΠ΅Π»ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ (ΠΠ¨ 25; 95% ΠΠ 12,9β48,2; p=0,0001), ΠΎΡΠ»ΠΎΠΆΠ½ΡΠ½Π½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ (ΠΠ¨ 11,6; 95% ΠΠ 6,8β19,7; p=0,0001), Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ° (ΠΠ¨ 6,5; 95% ΠΠ 2,28β18,4; p=0,0007), Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ (ΠΠ¨ 2,57; 95% ΠΠ 1,0β6,5; p=0,039). Π‘ΠΌΠ΅ΡΡΠ½ΠΎΡΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΏΠΎΠ»ΡΡΠ°ΡΡΠΈΡ
Π΄Π²Π΅ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΡ
Π΅ΠΌΡ Π»Π΅ΡΠ΅Π½ΠΈΡ Π’-1 ΠΈ Π’-2, Π½Π΅ ΡΠ°Π·Π»ΠΈΡΠ°Π»Π°ΡΡ (15,8% vs 15,7%). ΠΠ½Π°ΡΠΈΠΌΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ (p=0,0001) ΠΏΠΎΡΠ²Π»ΡΠ»ΠΈΡΡ ΠΏΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΡΠΎ ΡΡ
Π΅ΠΌΠ°ΠΌΠΈ Π’-0 ΠΈ Π’-4, ΠΏΡΠΈ ΠΊΠΎΡΠΎΡΡΡ
Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Π° ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΡ 8,8% ΠΈ 85,7% ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ. ΠΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΠΎΡΠ΄Π°Π»Π΅Π½Π½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ· Π½Π΅ Π²ΡΡΠ²ΠΈΠ» ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΏΠΎ ΠΏΠΎΠ»Ρ. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΠ΅ ΠΎΡΠΌΠ΅ΡΠ°Π»ΠΎΡΡ ΠΏΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΡ. Π‘ΡΠ΅Π΄ΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΡΠΎΠ²Π΅Π½Ρ PCT Π±ΡΠ» Π²ΡΡΠ΅ Ρ Π²ΡΠΆΠΈΠ²ΡΠΈΡ
Ρ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΡΠΌΠΈ. ΠΠ½Π°ΡΠΈΠΌΡΡ ΡΠ°Π·Π½ΠΈΡΡ ΡΡΠ΅Π΄ΠΈ Π²ΡΠ΅Ρ
Π²ΡΠΆΠΈΠ²ΡΠΈΡ
ΠΈ ΡΠΌΠ΅ΡΡΠΈΡ
(P<0,001) ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ: Π-Π΄ΠΈΠΌΠ΅Ρ, ΡΡΠΎΠ²Π΅Π½Ρ Π³Π»ΡΠΊΠΎΠ·Ρ ΠΊΡΠΎΠ²ΠΈ, ΠΠ-6, Π‘Π Π. ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΎΠ΅ ΠΠ¨ Π±ΡΠ»ΠΎ ΡΠ°ΡΡΡΠΈΡΠ°Π½ΠΎ Π΄Π»Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ: Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΠΠ’-ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ (ΠΠ¨ 7,7; 95% ΠΠ 1,0-57,7; p=0,03), ΡΡΠΎΠ²Π½Ρ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΠΠ ΠΊΡΠΎΠ²ΠΈ 622 ΠΠ΄/Π» (ΠΠ¨ 4,7; 95% ΠΠ 1,63β13,63; p=0,0086), ΠΎΡΠ»ΠΎΠΆΠ½ΡΠ½Π½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ (ΠΠ¨ 4,05; 95% 1,97β8,33; p=0,003), ΡΡΠΆΠ΅Π»ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ (ΠΠ¨ 2,4; 95% ΠΠ 1,17β5,0; p=0,03).ΠΡΠ²ΠΎΠ΄Ρ: Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΠ΅ ΠΊΡΠ°ΡΠΊΠΎΡΡΠΎΡΠ½ΡΠ΅ ΠΈ ΠΎΡΠ΄Π°Π»Π΅Π½Π½ΡΠ΅ ΠΈΡΡ
ΠΎΠ΄Ρ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ COVID-19 Π½Π° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠΌ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·Π΅ ΠΎΠΊΠ°Π·Π°Π»ΠΈ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΡ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΠΠ’. Π ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ ΡΠ°ΠΊΠΈΡ
Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ², ΠΊΠ°ΠΊ ΡΠ΅ΡΡΠΈΡΠΈΠ½, Π‘Π Π, ΠΠΠ, Π±ΡΠ»ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π·Π½Π°ΡΠΈΠΌΠΎΠ³ΠΎ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΡΠ°Π½ΡΠΎΠ², Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΠ΅ ΠΈΠΌΠ΅Π½Π½ΠΎ Π΄Π»Ρ Π΄ΠΈΠ°Π»ΠΈΠ·Π½ΡΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². ΠΠ° ΠΏΠ΅ΡΠ²ΡΠΉ Π³ΠΎΠ΄ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΡ ΠΎΡΡΠ°Π²Π°Π»Π°ΡΡ Π² Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°ΡΡΠ΅ΠΉ ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ Π½Π° ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΠΊΡ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ, ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Π²ΡΠ΄Π΅Π»Π΅Π½Π½ΡΠ΅ ΡΡ
Π΅ΠΌΡ Π»Π΅ΡΠ΅Π½ΠΈΡ Π½Π΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΏΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° ΠΈΡΡ
ΠΎΠ΄Ρ COVID-19
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