145 research outputs found
ΠΠΠΠΠΠΠ¬ΠΠΠ§ΠΠΠ― ΠΠΠΠΠΠΠΠΠ―: ΠΠΠΠΠΠΠΠΠΠΠΠ’ΠΠΠΠ«Π Π€ΠΠΠ’ΠΠ Π« Π ΠΠ‘ΠΠ ΠΠΠ’ΠΠΠ¬ΠΠΠΠ ΠΠ‘Π₯ΠΠΠ
The objective of this study was to analyze risk factors of death in patients with community-acquired pneumonia (CAP). This was a retrospectiveΒ analysis of medical records of 62 patients dead from CAP within a year in hospitals at Kazan city. We described clinical course of CAP leading to aΒ patient's death. Predictors of fatal outcome of CAP were social status, delayed admission to a hospital, smoking history, alcohol abuse, mental andΒ nutritive disorders, bilateral lung injury, pleural effusion, respiratory failure and haemodynamic instability.ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ 62 ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΊΠ°ΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 1 Π³ΠΎΠ΄Π° Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΡ ΠΠ°Π·Π°Π½ΠΈ ΠΈ Π²ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΈ ΡΠΌΠ΅ΡΡΠΈΡ
ΠΎΡ Π²Π½Π΅Π±ΠΎΠ»ΡΠ½ΠΈΡΠ½ΠΎΠΉ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ (ΠΠ), ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π½Π΅ΠΌΠ΅Π΄ΠΈΠΊΠ°ΠΌΠ΅Π½ΡΠΎΠ·Π½ΡΠ΅ ΡΠ°ΠΊΡΠΎΡΡ ΡΠΈΡΠΊΠ° Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡ
ΠΎΠ΄Π° ΠΏΡΠΈ Π΄Π°Π½Π½ΠΎΠΌ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΈ. ΠΡΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΌ ΠΎΡΠΌΠΎΡΡΠ΅ Π±ΡΠ»ΠΈ Π²ΡΠ΄Π΅Π»Π΅Π½Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠ°ΡΡΠΈΠ½Ρ ΠΠ Ρ Π»Π΅ΡΠ°Π»ΡΠ½ΡΠΌ ΠΈΡΡ
ΠΎΠ΄ΠΎΠΌ.ΠΡΠΌΠ΅ΡΠ΅Π½ΠΎ, ΡΡΠΎ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠΉ ΡΡΠ°ΡΡΡ, ΠΏΠΎΠ·Π΄Π½Π΅Π΅ ΠΎΠ±ΡΠ°ΡΠ΅Π½ΠΈΠ΅, ΠΊΡΡΠ΅Π½ΠΈΠ΅, ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄ Π°Π»ΠΊΠΎΠ³ΠΎΠ»ΡΠ½ΠΎΠΉ ΠΏΡΠΈΡΠΎΠ΄Ρ, Π½Π°ΡΡΡΠ΅Π½ΠΈΡ ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈ Π½ΡΡΡΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ°, Π΄Π²ΡΡΡΠΎΡΠΎΠ½Π½ΠΈΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ, ΠΏΠ»Π΅Π²ΡΠ°Π»ΡΠ½ΡΠΉ Π²ΡΠΏΠΎΡ, ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΈ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΠΏΡΠΈΠ·Π½Π°ΡΡ Π½Π΅ΠΌΠ΅Π΄ΠΈΠΊΠ°ΠΌΠ΅Π½ΡΠΎΠ·Π½ΡΠΌΠΈ ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠ°ΠΌΠΈ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡ
ΠΎΠ΄Π°
New integrable extension of the Hubbard chain with variable range hopping
New integrable variant of the one-dimensional Hubbard model with
variable-range correlated hopping is studied. The Hamiltonian is constructed by
applying the quantum inverse scattering method on the infinite interval at zero
density to the one-parameter deformation of the L-matrix of the Hubbard model.
By construction, this model has Y(su(2))Y(su(2)) symmetry in the
infinite chain limit. Multiparticle eigenstates of the model are investigated
through this method.Comment: 25 pages, LaTeX, no figure
Observations of GRB 060526 Optical Afterglow with Russian-Turkish 1.5-m Telescope
We present the results of the photometric multicolor observations of GRB
060526 optical afterglow obtained with Russian-Turkish 1.5-m Telescope (RTT150,
Mt. Bakirlitepe, Turkey). The detailed measurements of afterglow light curve,
starting from about 5 hours after the GRB and during 5 consecutive nights were
done. In addition, upper limits on the fast variability of the afterglow during
the first night of observations were obtained and the history of afterglow
color variations was measured in detail. In the time interval from 6 to 16
hours after the burst, there is a gradual flux decay, which can be described
approximately as a power law with an index of -1.14+-0.02. After that the
variability on the time scale \delta t < t is observed and the afterglow
started to decay faster. The color of the afterglow, V-R=~0.5, is approximately
the same during all our observations. The variability is detected on time
scales up to \delta t/t =~ 0.0055 at \Delta F_\nu/F_\nu =~ 0.3, which violates
some constraints on the variability of the observed emission from
ultrarelativistic jet obtained by Ioka et al. (2005). We suggest to explain
this variability by the fact that the motion of the emitting shell is no longer
ultrarelativistic at this time.Comment: 6 pages, 7 figures, Astronomy Letters, 2007, 33, 797, The on-line
data tables and the original text in Russian can be found at
http://hea.iki.rssi.ru/grb/060526/indexeng.htm
Transient events in the near-nuclear regions of AGNs and quasars as the sources of the proper motion imitations
We present a sample of SRG/eROSITA X-ray sources located in the eastern
Galactic hemisphere (0<l<180 deg), with significant proper motions according to
GAIA eDR3 measurements and whose extragalactic nature has been confirmed. The
catalog consists of 248 extragalactic sources with spectroscopically measured
redshifts. It includes all objects available in the Simbad database and matched
to the identified optical component within a radius of 0.5 arcsec.
Additionally, the catalog includes 18 sources with the spectral redshift
measurements based on observations at the Russian-Turkish 1.5-m telescope
RTT-150. The sources of the catalog are AGNs of various types (Sy1, Sy2,
LINER), quasars, radio galaxies, and star-forming galaxies. The imitation of
significant proper motions can be explained (previously known in astrometry as
the VIM effect) by the presence of transient events on the line of sight in the
field of view of AGN nuclei and quasars (within the GAIA resolution element).
Such astrophysical phenomena may be the supernovae outbursts, tidal destruction
events in AGNs with double nuclei, variability of large-mass supergiants, the
presence of O-B associations in field of view of variable brightness AGN, etc.
A model of flares with a fast rise and exponential decay profile allows to
describe the variable positional parameters of most similar sources observed in
GAIA. This cross-matching approach of the X-ray source catalogs of the
SRG/eROSITA observatory and the optical catalog of the GAIA observatory can be
used as an independent technique for detecting transient events in the
neighborhood of AGN core (on scales of several hundred parsecs in the picture
plane).Comment: 23 pages, 8 figures, 10 table
Additional spectroscopic redshift measurements for galaxy clusters from the First Planck Catalogue
We present the results of spectroscopic redshift measurements for the galaxy
clusters from the first all-sky Planck catalogue of the Sunyaev-Zeldovich
sources, that have been mostly identified by means of the optical observations
performed previously by our team (Planck Collaboration, 2015a). The data on 13
galaxy clusters at redshifts from z=~0.2 to z=~0.8, including the improved
identification and redshift measurement for the cluster PSZ1 G141.73+14.22 at
z=0.828, are provided. The measurements were done using the data from
Russian-Turkish 1.5-m telescope (RTT-150), 2.2-m Calar Alto Observatory
telescope, and 6-m SAO RAS telescope (Bolshoy Teleskop Azimutalnyi, BTA).Comment: published in Astronomy Letter
ΠΠ΅ΡΡΠΎΠ½ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠΎΡΠ»Π΅ Π½ΠΎΠ²ΠΎΠΉ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ: ΠΎΠΏΡΡ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΠ°ΡΠΈΠΉ ΠΠ»
Two years after the onset of the COVID-19 pandemic, not only the diagnosis and treatment, but also rehabilitation of patients at different times after the disease became relevant.The aim. To develop and analyze the efficiency of personalized hospital-based rehabilitation programs for COVID-19 patients.Methods. Retrospective analysis of medical records of 109 patients with COVID-19 admitted to the rehabilitation department. A team of physiotherapist, pulmonologist and psychiatrist used simulators (bicycle ergometer, treadmill, motomed, and stepper), physiotherapeutic exercises, training of respiratory muscles with Threshold IMT (Philips, Netherlands) simulators, psychotherapy, and physiotherapy.Results. A total of 109 patients, 59 (54%) men and 50 (46%) women, aged 56.54 Β± 11.73 Ρears suffered from moderate (41%), severe (40%) and very severe (19%) COVID-19. 25% of the patients had concomitant diabetes mellitus, 65% β arterial hypertension, and 22% β ischemic heart disease. Patients with 5 rehabilitation points (5RP) on Rehabilitation Routing Scale walked a median distance of 110 [40; 248] m in the 6-minute walk test (6MWT), 4RP β 300 [240; 350] m in 6MWT, 3RP β 400 [360; 431] m in 6MWT. The difference in 6MWT distance was significant only between 4RP and 3RP groups (p < 0.001). By the end of rehabilitation program, 6MWT increased by 90 m in 5RP group, by 120 m β in 4RP group, and by 89 m in patients with 3RP (p = 0.036 between RPs and 4RP groups; Ρ = 0.007 between 3RP and 5RP groups, respectively). SpO2 was over 95% in all patients by the end of rehabilitation.Conclusion. Comorbid patients after severe COVID-19 demonstrated better rehabilitation potential seen as improvement of exercise tolerance and respiratory status. The original personalized rehabilitation programs improve significantly impaired body functions early on after severe COVID-19.Π‘ΠΏΡΡΡΡ 2 Π³ΠΎΠ΄Π° Ρ Π½Π°ΡΠ°Π»Π° ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19 (COronaVIrus Disease-2019) Π²ΡΠ΅ Π±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΡΠ°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π·Π°Π΄Π°ΡΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ, Π½ΠΎ ΠΈ Π²ΠΎΠΏΡΠΎΡΡ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π° ΡΠ°Π·Π½ΡΡ
ΡΡΠΎΠΊΠ°Ρ
ΠΏΠΎΡΠ»Π΅ ΠΏΠ΅ΡΠ΅Π½Π΅ΡΠ΅Π½Π½ΠΎΠ³ΠΎ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ.Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²ΠΈΠ»Π°ΡΡ ΠΎΡΠ΅Π½ΠΊΠ° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΎΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΡΡ
ΠΏΠ΅ΡΡΠΎΠ½ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ, Π½Π°ΡΠ΅Π»Π΅Π½Π½ΡΡ
Π½Π° Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² c COVID-19 Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΊΡΡΠ³Π»ΠΎΡΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΊΠ°ΡΡ 109 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ COVID-19, Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅. Π Π΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΠΉ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ² (Π²ΡΠ°Ρ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Ρ, ΠΏΡΠ»ΡΠΌΠΎΠ½ΠΎΠ»ΠΎΠ³, ΠΏΡΠΈΡ
ΠΈΠ°ΡΡ), Π²ΠΊΠ»ΡΡΠ°Π»Π° ΠΏΠ΅ΡΡΠΎΠ½ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΡΠ΅Π½ΠΈΡΠΎΠ²ΠΊΠΈ Π½Π° ΡΡΠ΅Π½Π°ΠΆΠ΅ΡΠ°Ρ
(Π²Π΅Π»ΠΎΡΡΠ³ΠΎΠΌΠ΅ΡΡ, ΡΡΠ΅Π΄ΠΌΠΈΠ», ΠΌΠΎΡΠΎΠΌΠ΅Π΄, ΡΡΠ΅ΠΏΠΏΠ΅Ρ), Π»Π΅ΡΠ΅Π±Π½ΡΡ ΡΠΈΠ·ΠΊΡΠ»ΡΡΡΡΡ, ΡΡΠ΅Π½ΠΈΡΠΎΠ²ΠΊΠΈ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΌΡΡΠΊΡΠ»Π°ΡΡΡΡ Ρ ΡΡΠ΅Π½Π°ΠΆΠ΅ΡΠ°ΠΌΠΈ Threshold IMT (Philips, ΠΠΈΠ΄Π΅ΡΠ»Π°Π½Π΄Ρ), ΠΏΡΠΈΡ
ΠΎΡΠ΅ΡΠ°ΠΏΠΈΡ, ΡΠΈΠ·ΠΈΠΎΡΠ΅ΡΠ°ΠΏΠΈΡ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ°ΡΡΠ²ΠΎΠ²Π°Π»ΠΈ 59 ΠΌΡΠΆΡΠΈΠ½ (54 %) ΠΈ 50 (46 %) ΠΆΠ΅Π½ΡΠΈΠ½; ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ β 56,54 Β± 11,73 Π³ΠΎΠ΄Π°. Π£ 41 % ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ COVID-19 Π±ΡΠ»ΠΎ ΡΡΠ΅Π΄Π½Π΅ΡΡΠΆΠ΅Π»ΡΠΌ, Ρ 40 % β ΡΡΠΆΠ΅Π»ΡΠΌ, Ρ 19 % β ΠΊΡΠ°ΠΉΠ½Π΅ ΡΡΠΆΠ΅Π»ΡΠΌ. Π ΡΡΡΡΠΊΡΡΡΠ΅ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ ΡΠ°Ρ
Π°ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π±Π΅Ρ (25 %), Π³ΠΈΠΏΠ΅ΡΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠ°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ (65 %), ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠ°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ ΡΠ΅ΡΠ΄ΡΠ° (22 %). ΠΡΠΈ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΡ Ρ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ 5 Π±Π°Π»Π»ΠΎΠ² (Π Π5) ΠΏΠΎ ΡΠΊΠ°Π»Π΅ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΌΠ°ΡΡΡΡΡΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΡ
ΠΎΠ΄ΠΈΠ»ΠΈ Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ 110 [40; 248] ΠΌ Π² 6-ΠΌΠΈΠ½ΡΡΠ½ΠΎΠΌ ΡΠ°Π³ΠΎΠ²ΠΎΠΌ ΡΠ΅ΡΡΠ΅, Π±ΠΎΠ»ΡΠ½ΡΠ΅ Ρ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ 4 Π±Π°Π»Π»Π° (Π Π4) β 300 [240; 350] ΠΌ, 3 Π±Π°Π»Π»Π° (Π Π3) β 400 [360; 431] ΠΌ. Π Π°Π·Π»ΠΈΡΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² 6-ΠΌΠΈΠ½ΡΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π³ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅ΡΡΠ° (6-ΠΠ¨Π’) Π² Π³ΡΡΠΏΠΏΠ°Ρ
Ρ Π Π4 ΠΈ Π Π3 Π±ΡΠ»ΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½Ρ (p < 0,001). Π Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΏΡΠΈΡΠΎΡΡ ΡΠ°ΡΡΡΠΎΡΠ½ΠΈΡ Π² 6-ΠΠ¨Π’ ΡΠΎΡΡΠ°Π²ΠΈΠ» 90 ΠΌ ΠΏΡΠΈ Π Π5, 120 ΠΌ β ΠΏΡΠΈ Π Π4, 89 ΠΌ β ΠΏΡΠΈ Π Π3 (p = 0,036 ΠΏΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Π Π3 ΠΈ Π Π4; Ρ = 0,007 ΠΏΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Π Π3 ΠΈ Π Π5). Π Π·Π°Π²Π΅ΡΡΠ΅Π½ΠΈΡ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ Ρ Π²ΡΠ΅Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½ΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΠ°ΡΡΡΠ°ΡΠΈΠΈ ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π°.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΡΠΆΠ΅Π»ΡΠΌ COVID-9 ΠΈ ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ Π²ΡΡΠ²Π»Π΅Π½ Ρ
ΠΎΡΠΎΡΠΈΠΉ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π», Π²ΡΡΠ°ΠΆΠ°Π²ΡΠΈΠΉΡΡ Π² ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠΈ ΡΠΎΠ»Π΅ΡΠ°Π½ΡΠ½ΠΎΡΡΠΈ ΠΊ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠ΅ ΠΈ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠΈ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ°. ΠΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π³ΠΎΠ²ΠΎΡΠΈΡΡ ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠΈ Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ Π½Π°ΡΡΡΠ΅Π½Π½ΡΡ
ΡΡΠ½ΠΊΡΠΈΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° ΠΏΠΎΡΠ»Π΅ ΡΡΠΆΠ΅Π»ΡΡ
ΡΠΎΡΠΌ COVID-19
Π₯ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½Π°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ Π»Π΅Π³ΠΊΠΈΡ : Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° ΡΠ°ΡΡΡΡ ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΠΉ, ΠΏΡΠΈ ΠΊΠΎΡΠΎΡΡΡ ΡΡΠ΅Π±ΡΠ΅ΡΡΡ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ
Aim. Identification of risk factors for readmissions associated with an exacerbation of chronic obstructive pulmonary disease (COPD) followed by evaluation of quality of the medical care in the outpatient and hospital settings.Methods. A retrospective analysis of the medical records of patients with an exacerbation of chronic obstructive pulmonary disease admitted to the multidisciplinary hospitals in Kazan from January 1, 2015 to December 31, 2018, was.Results. The identified risk factors for readmission were male gender (relative risk (RR) 3.49; 95% confidence interval (CI) 1.45 β 8.43; p < 0.05), age over 70 years (RR 1.21; 95% CI 0.74 β 1.86; p < 0.05), smoking experience more than 40 years (RR 1.6; 95% CI 0.87 β 3.0; p < 0.05), duration of COPD at least 10 years (RR 3.48; 95% CI 2.27 β 5.34; p < 0.05), the presence of three or more concomitant diseases (RR 2.0; 95% CI 1.23 β 3.4; p < 0.05). The most significant reasons for readmissions were nonadherence in the outpatient settings, as well as defects in the therapy that was provided in the hospital and prescribed upon discharge.Conclusion. The identified risk factors are non-modifiable in most cases, so optimizing treatment and monitoring patient adherence are of paramount importance. Also, more attention should be paid to nonpharmacological treatment in the form of maintaining physical activity, early smoking cessation and psychological rehabilitation. The revealed defects of the quality of medical care for patients with severe exacerbations requiring repeated hospitalizations indicate the need to intensify the implementation of the federal clinical guidelines on chronic obstructive pulmonary disease in the real clinical practice.Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²ΠΈΠ»Π°ΡΡ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° (Π€Π ) ΠΏΠΎΠ²ΡΠΎΡΠ½ΡΡ
Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΉ, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ Π»Π΅Π³ΠΊΠΈΡ
(Π₯ΠΠΠ), Ρ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅ΠΉ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΎΠΊΠ°Π·Π°Π½ΠΈΡ ΠΏΠΎΠΌΠΎΡΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ Π½Π° Π°ΠΌΠ±ΡΠ»Π°ΡΠΎΡΠ½ΠΎΠΌ ΠΈ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠΌ ΡΡΠ°ΠΏΠ°Ρ
.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΊΠ°ΡΡ Π±ΠΎΠ»ΡΠ½ΡΡ
Ρ ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π₯ΠΠΠ, Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΠΌΠ½ΠΎΠ³ΠΎΠΏΡΠΎΡΠΈΠ»ΡΠ½ΡΠ΅ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΡ ΠΠ°Π·Π°Π½ΠΈ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ Ρ 01.01.15 ΠΏΠΎ 31.12.18.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΡΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π€Π ΠΏΠΎΠ²ΡΠΎΡΠ½ΡΡ
Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΉ ΡΠ²Π»ΡΡΡΡΡ ΠΌΡΠΆΡΠΊΠΎΠΉ ΠΏΠΎΠ» (ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΡΠΈΡΠΊ (ΠΠ ) β 3,49; 95%-Π½ΡΠΉ Π΄ΠΎΠ²Π΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π» (ΠΠ) β 1,45β8,43; Ρ < 0,05), Π²ΠΎΠ·ΡΠ°ΡΡ ΡΡΠ°ΡΡΠ΅ 70 Π»Π΅Ρ (ΠΠ β 1,21; 95%-Π½ΡΠΉ ΠΠ β 0,74β1,86; Ρ < 0,05), ΡΡΠ°ΠΆ ΠΊΡΡΠ΅Π½ΠΈΡ β₯ 40 Π»Π΅Ρ (ΠΠ β 1,6; 95%-Π½ΡΠΉ ΠΠ β 0,87β3,0; Ρ < 0,05), Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π₯ΠΠΠ β₯ 10 Π»Π΅Ρ (ΠΠ β 3,48; 95%-Π½ΡΠΉ ΠΠ β 2,27β5,34; Ρ < 0,05), Π½Π°Π»ΠΈΡΠΈΠ΅ β₯ 3 ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ (ΠΠ β 2,0; 95%-Π½ΡΠΉ ΠΠ β 1,23β3,4; Ρ < 0,05). ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΠΌΠΈ ΠΏΡΠΈΡΠΈΠ½Π°ΠΌΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΡ
Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΉ ΠΏΠΎΡΠ»Π΅ Π²ΡΠΏΠΈΡΠΊΠΈ ΠΈΠ· ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ° ΠΌΠΎΠΆΠ½ΠΎ ΡΡΠΈΡΠ°ΡΡ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΡΡ ΠΏΡΠΈΠ²Π΅ΡΠΆΠ΅Π½Π½ΠΎΡΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π² Π°ΠΌΠ±ΡΠ»Π°ΡΠΎΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
, Π° ΡΠ°ΠΊΠΆΠ΅ Π΄Π΅ΡΠ΅ΠΊΡΡ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ, ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΠΎΠΉ Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ΅ ΠΈ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡΠ΅ΠΌΠΎΠΉ ΠΏΡΠΈ Π²ΡΠΏΠΈΡΠΊΠ΅.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ Π€Π Π² Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ ΡΠ»ΡΡΠ°Π΅Π² ΠΎΡΠ½ΠΎΡΡΡΡΡ ΠΊ Π½Π΅ΠΌΠΎΠ΄ΠΈΡΠΈΡΠΈΡΡΠ΅ΠΌΡΠΌ, ΠΏΠΎΡΡΠΎΠΌΡ ΠΏΠ΅ΡΠ²ΠΎΡΡΠ΅ΠΏΠ΅Π½Π½ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΈΠ΄Π°Π΅ΡΡΡ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ Π½Π°Π΄ ΠΏΡΠΈΠ²Π΅ΡΠΆΠ΅Π½Π½ΠΎΡΡΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ΅ΡΠ°ΠΏΠΈΠΈ. ΠΠΎΠ»ΡΡΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΡΠ°ΠΊΠΆΠ΅ ΡΠ΄Π΅Π»ΡΡΡ Π½Π΅ΠΌΠ΅Π΄ΠΈΠΊΠ°ΠΌΠ΅Π½ΡΠΎΠ·Π½ΠΎΠΌΡ Π»Π΅ΡΠ΅Π½ΠΈΡ Π² Π²ΠΈΠ΄Π΅ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, ΡΠ°Π½Π½Π΅Π³ΠΎ ΠΎΡΠΊΠ°Π·Π° ΠΎΡ ΠΊΡΡΠ΅Π½ΠΈΡ ΠΈ ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ. ΠΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΎΠΊΠ°Π·Π°Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ Ρ ΡΡΠΆΠ΅Π»ΡΠΌΠΈ ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΡΠΌΠΈ, ΠΏΡΠΈ ΠΊΠΎΡΠΎΡΡΡ
ΡΡΠ΅Π±ΡΠ΅ΡΡΡ ΠΏΠΎΠ²ΡΠΎΡΠ½Π°Ρ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ, ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΡΡ ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡ
ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΉ ΠΏΠΎ Π₯ΠΠΠ Π² ΡΠ΅Π°Π»ΡΠ½ΡΡ Π²ΡΠ°ΡΠ΅Π±Π½ΡΡ ΠΏΡΠ°ΠΊΡΠΈΠΊΡ
Fast optical variability of SS 433
We study the optical variability of the peculiar Galactic source SS 433 using
the observations made with the Russian Turkish 1.5-m telescope (RTT150). A
simple technique which allows to obtain high-quality photometric measurements
with 0.3-1 s time resolution using ordinary CCD is described in detail. Using
the test observations of nonvariable stars, we show that the atmospheric
turbulence introduces no significant distortions into the measured light
curves. Therefore, the data obtained in this way are well suited for studying
the aperiodic variability of various objects.
The large amount of SS 433 optical light curve measurements obtained in this
way allowed us to obtain the power spectra of its flux variability with a
record sensitivity up to frequencies of ~0.5 Hz and to detect its break at
frequency =~2.4e-3 Hz. We suggest that this break in the power spectrum results
from the smoothing of the optical flux variability due to a finite size of the
emitting region. Based on our measurement of the break frequency in the power
spectrum, we estimated the size of the accretion-disk photosphere as 2e12 cm.
We show that the amplitude of the variability in SS 433 decreases sharply
during accretion-disk eclipses, but it does not disappear completely. This
suggests that the size of the variable optical emission source is comparable to
that of the normal star whose size is therefore R_O \approx 2e12 cm \approx 30
R_sun. The decrease in flux variability amplitude during eclipses suggests the
presence of a nonvariable optical emission component with a magnitude
m_R=~13.2.Comment: 12 pages, 11 figures. Accepted for publication in Astronomy Letters.
The original version in Russian is available at
http://hea.iki.rssi.ru/rtt150/ru/ss433_pazh10/pss433_fast.pd
On the Change of the Inner Boundary of an Optically Thick Accretion Disk around White Dwarfs Using the Dwarf Nova SS Cyg as an Example
We present the results of our studies of the aperiodic optical flux
variability for SS Cyg, an accreting binary systemwith a white dwarf. The main
set of observational data presented here was obtained with the ANDOR/iXon
DU-888 photometer mounted on the RTT-150 telescope, which allowed a record(for
CCD photometers) time resolution up to 8 ms to be achieved. The power spectra
of the source's flux variability have revealed that the aperiodic variability
contains information about the inner boundary of the optically thick flow in
the binary system. We show that the inner boundary of the optically thick
accretion disk comes close to the white dwarf surface at the maximum of the
source's bolometric light curve, i.e., at the peak of the instantaneous
accretion rate onto the white dwarf, while the optically thick accretion disk
is truncated at distances 8.5e9 cm ~10 R_{WD} in the low state. We suggest that
the location of the inner boundary of the accretion disk in the binary can be
traced by studying the parameters of the power spectra for accreting white
dwarfs. In particular, this allows the mass of the accreting object to be
estimated.Comment: 9 pages, 7 figures, Published in Astronomy Letter
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