1,294 research outputs found
Signal amplification in a qubit-resonator system
We study the dynamics of a qubit-resonator system, when the resonator is
driven by two signals. The interaction of the qubit with the high-amplitude
driving we consider in terms of the qubit dressed states. Interaction of the
dressed qubit with the second probing signal can essentially change the
amplitude of this signal. We calculate the transmission amplitude of the probe
signal through the resonator as a function of the qubit's energy and the
driving frequency detuning. The regions of increase and attenuation of the
transmitted signal are calculated and demonstrated graphically. We present the
influence of the signal parameters on the value of the amplification, and
discuss the values of the qubit-resonator system parameters for an optimal
amplification and attenuation of the weak probe signal.Comment: 7 pages, 8 figure
Low temperature breakdown of coherent tunneling in amorphous solids induced by the nuclear quadrupole interaction
We consider the effect of the internal nuclear quadrupole interaction on
quantum tunneling in complex multi-atomic two-level systems. Two distinct
regimes of strong and weak interactions are found. The regimes depend on the
relationship between a characteristic energy of the nuclear quadrupole
interaction and a bare tunneling coupling strength
. When , the internal interaction is
negligible and tunneling remains coherent determined by . When
, coherent tunneling breaks down and an effective
tunneling amplitude decreases by an exponentially small overlap factor
between internal ground states of left and right wells of a
tunneling system. This affects thermal and kinetic properties of tunneling
systems at low temperatures . The theory is applied for
interpreting the anomalous behavior of the resonant dielectric susceptibility
in amorphous solids at low temperatures mK where the nuclear
quadrupole interaction breaks down coherent tunneling. We suggest the
experiments with external magnetic fields to test our predictions and to
clarify the internal structure of tunneling systems in amorphous solids.Comment: To appear in the Physical Review
Experimental evidence for the separability of compound-nucleus and fragment properties in fission
The large body of experimental data on nuclear fission is analyzed with a
semi-empirical ordering scheme based on the macro-microscopic approach and the
separability of compound-nucleus and fragment properties on the fission path.
We apply the statistical model to the non-equilibrium descent from saddle to
scission, taking the influence of dynamics into account by an early freeze out.
The present approach reveals a large portion of common features behind the
variety of the complex observations made for the different systems. General
implications for out-of-equilibrium processes are mentioned.Comment: 11 pages, 3 figure
Phase-field approach to heterogeneous nucleation
We consider the problem of heterogeneous nucleation and growth. The system is
described by a phase field model in which the temperature is included through
thermal noise. We show that this phase field approach is suitable to describe
homogeneous as well as heterogeneous nucleation starting from several general
hypotheses. Thus we can investigate the influence of grain boundaries,
localized impurities, or any general kind of imperfections in a systematic way.
We also put forward the applicability of our model to study other physical
situations such as island formation, amorphous crystallization, or
recrystallization.Comment: 8 pages including 7 figures. Accepted for publication in Physical
Review
Π€ΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Γ-Π°Π΄ΡΠ΅Π½ΠΎΡΠ΅ΡΠ΅ΠΏΡΠΎΡΠΎΠ² Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² Ρ Π΄Π΅ΡΠ΅ΠΉ Ρ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΡΠΌ Π±ΡΠΎΠ½Ρ ΠΈΡΠΎΠΌ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Γ-Π°Π΄ΡΠ΅Π½ΠΎΠ°Π³ΠΎΠ½ΠΈΡΡΠ°ΠΌ
The state of lymphocytesβ Ξ²-adrenoreceptors was examined for 26 healthy children during their first three years of life and for 143 infants with the obstructive bronchitis. The study concerned the activity of adrenodependant intracellular biochemical processes. Certain decrease of lymphocytesβ glycogenolysis activity obviously correlating with the disease severity and duration was revealed. The restoration of Ξ²2 -adrenoreceptors activity in lymphocytes during the treatment with the p2 -adrenoagonists was marked. The data makes it possible to consider that Ξ²2 -adrenoreceptors desensitization is typical for infants with an obstructive bronchitis. The diagnostic test complex is proposed for making a decision on the type of a medicamental therapy for the children with obstructive bronchitis.ΠΡΠ»ΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Β Ξ²2-Π°Π΄ΡΠ΅Π½ΠΎΡΠ΅ΡΠ΅ΠΏΡΠΎΡΠΎΠ² Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² Ρ 26 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π² ΠΏΠ΅ΡΠ²ΠΎΠΌ ΡΡΠ΅Ρ
Π»Π΅ΡΠΈΠ΅ΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΆΠΈΠ·Π½ΠΈ ΠΈ Ρ 143 Π΄Π΅ΡΠ΅ΠΉ Ρ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΡΠΌ Π±ΡΠΎΠ½Ρ
ΠΈΡΠΎΠΌ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ Π²Π½ΡΡΡΠΈΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π΄ΡΠ΅Π½ΠΎΠ·Π°Π²ΠΈΡΠΈΠΌΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ². ΠΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ΅ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π³Π»ΠΈΠΊΠΎΠ³Π΅Π½ΠΎΠ»ΠΈΠ·Π° Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ², ΠΊΠΎΡΡΠ΅Π»ΠΈΡΡΡΡΠ΅Π΅ Ρ ΡΡΠΆΠ΅ΡΡΡΡ ΠΈ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π±ΠΎΠ»Π΅Π·Π½ΠΈ. Π ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π»Π΅ΡΠ΅Π½ΠΈΡ ΡΡΠΈΡ
Π±ΠΎΠ»ΡΠ½ΡΡ
Ξ²2 -Π°Π΄ΡΠ΅Π½ΠΎΠ°Π³ΠΎΠ½ΠΈΡΡΠ°ΠΌΠΈ Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ Π°Π΄ΡΠ΅Π½ΠΎΡΠ΅ΡΠ΅ΠΏΡΠΎΡΠ½ΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π±ΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ Π΄Π°Π»ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ Π΄Π΅ΡΠ΅Π½ΡΠΈΠ±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΡ Ξ²2-Π°Π΄ΡΠ΅Π½ΠΎΡΠ΅ΡΠ΅ΠΏΡΠΎΡΠΎΠ² Ρ Π΄Π΅ΡΠ΅ΠΉ Ρ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΡΠΌ Π±ΡΠΎΠ½Ρ
ΠΈΡΠΎΠΌ. ΠΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΠΌΡΠΉ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΡΠΎΠ² ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ Π² ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ Ρ ΠΎΠ±ΡΡΡΡΠΊΡΠΈΠ²Π½ΡΠΌ Π±ΡΠΎΠ½Ρ
ΠΈΡΠΎΠΌ
ΠΠΠΠ ΠΠΠΠ ΠΠΠ Π€ΠΠΠ’ΠΠ Π ΠΠ‘ΠΠ Π’Π ΠΠΠΠΠΠΠΠΠΠΠ ΠΠΠΠΠ§ΠΠΠ ΠΠ Π’ΠΠ ΠΠ
The aim of the study. Based on the data of the Register of new cases of hospital pulmonary embolism (PE) in hospitals in Tomsk (2003β2012), to explore the contribution of obesity to the development of venous thromboembolism.Material and Methods. Study were subjected to medical history and records of autopsies of patients treated in hospitals in Tomsk in 2003β2012, who at patologoanatomic and/or instrumental study revealed pulmonary embolism. The degree of obesity was assessed according to WHO criteria (1997). Statistical processing of the results was carried out using the software package for PC Statistica 8.0 for Windows. To test the normality of the distribution of quantitative traits using the ShapiroβWilk test and the KolmogorovβSmirnov with the adjusted Lillieforsa. Check the equality of the population variance was performed using Fisher's exact test and Cochran. Was considered statistically significant level of p < 0.05.The results of the study. In Western Siberia, Tomsk, a register of hospital pulmonary embolism (2003β2012). In the register included 720 patients with in vivo and/or post mortem revealed pulmonary embolism (PE). Analyzed data from medical records and autopsy reports. Revealed statistically significant differences in BMI (p = 0.033) and the presence of obesity (p = 0.002) in patients with pulmonary embolism, holding medical and surgical beds. As of medical, surgical and among patients with thromboembolism, obesity is significantly more common in women than men (p = 0.050 and p = 0.041 respectively). According to the study, obesity grade 1 or 2 alone (at the isolated presence of the patient) is not significantly increased the odds of a massive thromboembolism. However, grade 3 obesity increased the odds of a massive pulmonary embolism by more than 2.7 times (OR = 2.708, CI: 1,461β5,020).Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π΄Π°Π½Π½ΡΡ
Π Π΅Π³ΠΈΡΡΡΠ° Π½ΠΎΠ²ΡΡ
ΡΠ»ΡΡΠ°Π΅Π² Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ (Π’ΠΠΠ) Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°Ρ
Π³. Π’ΠΎΠΌΡΠΊΠ° (2003β2012 Π³Π³.), ΠΈΠ·ΡΡΠΈΡΡ Π²ΠΊΠ»Π°Π΄ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π½ΡΡΡ ΠΈΡΡΠΎΡΠΈΠΈ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡΠΎΡΠΎΠΊΠΎΠ»Ρ Π²ΡΠΊΡΡΡΠΈΠΉ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π»Π΅ΡΠΈΠ²ΡΠΈΡ
ΡΡ Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°Ρ
Π³. Π’ΠΎΠΌΡΠΊΠ° Π² 2003β2012 Π³Π³., Ρ ΠΊΠΎΡΠΎΡΡΡ
ΠΏΡΠΈ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΎΠ°Π½Π°ΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΈ (ΠΈΠ»ΠΈ) ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ Π²ΡΡΠ²Π»Π΅Π½Π° Π’ΠΠΠ. Π‘ΡΠ΅ΠΏΠ΅Π½Ρ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΠΠΠ (1997). Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ° ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΏΠ°ΠΊΠ΅ΡΠ° ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ Statistica 8.0 for Windows. ΠΠ»Ρ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΠΉ Π¨Π°ΠΏΠΈΡΠΎβΠ£ΠΈΠ»ΠΊΠ° ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΠΉ ΠΠΎΠ»ΠΌΠΎΠ³ΠΎΡΠΎΠ²Π°βΠ‘ΠΌΠΈΡΠ½ΠΎΠ²Π° Ρ ΠΏΠΎΠΏΡΠ°Π²ΠΊΠΎΠΉ ΠΠΈΠ»Π»ΠΈΠ΅ΡΠΎΡΡΠ°. ΠΡΠΎΠ²Π΅ΡΠΊΡ ΡΠ°Π²Π΅Π½ΡΡΠ²Π° Π³Π΅Π½Π΅ΡΠ°Π»ΡΠ½ΡΡ
Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΉ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅Π² Π€ΠΈΡΠ΅ΡΠ° ΠΈ ΠΠΎΡ
ΡΡΠ½Π°. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΠΌ ΡΡΠΈΡΠ°Π»ΠΈ ΡΡΠΎΠ²Π΅Π½Ρ p < 0,05.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅. Π ΡΡΠ΅Π΄Π½Π΅ΡΡΠ±Π°Π½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΌ Π³ΠΎΡΠΎΠ΄Π΅ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ, Π’ΠΎΠΌΡΠΊΠ΅, ΡΠΎΠ·Π΄Π°Π½ Π Π΅Π³ΠΈΡΡΡ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ (2003β2012 Π³Π³.). Π Π Π΅Π³ΠΈΡΡΡ Π±ΡΠ»ΠΈ Π²ΠΊΠ»ΡΡΠ΅Π½Ρ 720 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Ρ ΠΊΠΎΡΠΎΡΡΡ
ΠΏΡΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎ ΠΈ (ΠΈΠ»ΠΈ) ΠΏΠΎΡΠΌΠ΅ΡΡΠ½ΠΎ Π²ΡΡΠ²Π»Π΅Π½Π° Π’ΠΠΠ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΈΡΡΠΎΡΠΈΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡΠΎΡΠΎΠΊΠΎΠ»ΠΎΠ² ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΎΠ°Π½Π°ΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠΊΡΡΡΠΈΡ. ΠΡΡΠ²ΠΈΠ»ΠΈΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π° (Ρ = 0,033) ΠΈ Π½Π°Π»ΠΈΡΠΈΡ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ (Ρ = 0,002) Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π’ΠΠΠ, Π·Π°Π½ΠΈΠΌΠ°ΡΡΠΈΡ
ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΊΠΎΠΉΠΊΠΈ. ΠΠ°ΠΊ ΡΡΠ΅Π΄ΠΈ ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠ°ΠΊ ΠΈ ΡΡΠ΅Π΄ΠΈ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠ΅ΠΉ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ°ΡΠ΅ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ Π²ΡΡΡΠ΅ΡΠ°Π»ΠΎΡΡ Ρ ΠΆΠ΅Π½ΡΠΈΠ½ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΌΡΠΆΡΠΈΠ½Π°ΠΌΠΈ (Ρ = 0,050 ΠΈ Ρ = 0,041 ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ).Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠΌ Π΄Π°Π½Π½ΡΠΌ, ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ 1-ΠΉ ΠΈΠ»ΠΈ 2-ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎ (ΠΏΡΠΈ ΠΈΠ·ΠΎΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΌ ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°) ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π½Π΅ ΠΏΠΎΠ²ΡΡΠ°Π»ΠΎ ΡΠ°Π½ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ°ΡΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ. ΠΠ΄Π½Π°ΠΊΠΎ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ 3-ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π»ΠΎ ΡΠ°Π½ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ°ΡΡΠΈΠ²Π½ΠΎΠΉ Π’ΠΠΠ Π±ΠΎΠ»Π΅Π΅ ΡΠ΅ΠΌ Π² 2,7 ΡΠ°Π·Π° (ΠΠ¨ = 2,708; ΠΠ: 1,461β5,020)
ΠΠΠ«Π’ ΠΠΠ’ΠΠΠΠ’ΠΠΠΠ¦ΠΠ Π€ΠΠ ΠΠΠ ΠΠΠΠΠΠ― Π‘Π’ΠΠ’ΠΠ‘Π’ΠΠ§ΠΠ‘ΠΠΠ ΠΠ’Π§ΠΠ’ΠΠΠ‘Π’Π ΠΠ ΠΠΠ ΠΠΠΠ’ΠΠΠ ΠΠΠΠ’Π ΠΠΠΠΠΠΠ ΠΠ€ΠΠΠ¬ΠΠΠΠ ΠΠΠΠΠ¦ΠΠΠ‘ΠΠΠΠ Π£Π§Π ΠΠΠΠΠΠΠ―
The article is dedicated to the description of the experience of automation of the processes of statistical reporting on salaries in Federal State Budgetary Institution Β«NationalPirogovMedicalSurgicalCenterΒ» of Ministry of Health of theRussian Federationwith the use of information systems.According to the current legislation of theRussian Federation, within the framework of the successful implementation of the Β«Road MapΒ» on a national scale, statistical information about salaries of employees of social institutions is collected in various sections of data reporting. It became necessary to develop a tool to promptly collect, process and analyze data on salaries to provide statistical information to social institutions.The purpose of this article is to familiarize oneself with the concept of multidimensional data representation and to structure information on multidimensional analytical reports within the framework of practical application for solving economic problems related to the formation of statistical reporting on salaries. The algorithm and the procedure for the formation of multidimensional analytical reports are described, both from the methodological and from the practical point of view. As a material for this study, the normative and legal acts of the Russian Federation, statistical and analytical materials of the section Β«Salaries of certain categories of workers in the social sphere and scienceΒ» of the Federal State Statistics Service of the Russian Federation, scientific publications and articles of the periodical press, as well as the results of their own research were used.To facilitate the perception, special attention is given to the description of the basic concepts of multidimensional analytical reporting: measure, performance variables, value. The authors not only gave a definition of multidimensional analytical reporting, but also demonstrated a visual representation of the multidimensional information space of performance variables.Based on these definitions, the article describes the system for developing multidimensional analytical reporting, examines the stages of designing a multidimensional analytical representation of data, and demonstrates how to set up a multidimensional analytical report for building a multi-level hierarchy in accordance with pre-selected performance variables and dimensions.Methods of working with multidimensional analytical reporting are also described on the example of the implementation of the formation of the multidimensional analytical report Β«Statistical reporting on salariesΒ» in the information system of the Federal State Budgetary Institution Β«NationalPirogovMedicalSurgicalCenterΒ» of Ministry of Health of theRussian Federation.As a result, the effectiveness of multidimensional analytical reports for collecting, monitoring and analyzing statistical information on salaries was proved. Conducting in-depth analysis and evaluating the results of the implementation of salary targets are the basis for further modeling of the pay system and forecasting of financial results. Thus, the introduction of multidimensional analytical reporting made it possible to facilitate the labor-intensive process of making strategic management decisions by the administration of the institution.The authors concluded that the availability of such a tool in the healthcare system could help accelerating the operational processing of information for data analysis, as well as the generation of reports in various sections with an established depth of detail.Β Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΠΎΠΏΡΡΠ° Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΠΈ ΠΏΠΎ Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅ Π² ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΌ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΌ Π±ΡΠ΄ΠΆΠ΅ΡΠ½ΠΎΠΌ ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠΈ Β«ΠΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π¦Π΅Π½ΡΡ ΠΈΠΌΠ΅Π½ΠΈ Π.Π. ΠΠΈΡΠΎΠ³ΠΎΠ²Π°Β» ΠΠΈΠ½ΠΈΡΡΠ΅ΡΡΡΠ²Π° Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ.Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ Π΄Π΅ΠΉΡΡΠ²ΡΡΡΠ΅ΠΌΡ Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°ΡΠ΅Π»ΡΡΡΠ²Ρ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ, Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΡΡΠΏΠ΅ΡΠ½ΠΎΠΉ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ Β«Π΄ΠΎΡΠΎΠΆΠ½ΠΎΠΉ ΠΊΠ°ΡΡΡΒ» Π² ΠΌΠ°ΡΡΡΠ°Π±Π΅ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΡΡ ΡΠ±ΠΎΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΠΎ Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΡΡ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠ΅Π·Π°Ρ
ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
. ΠΠ»Ρ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΠ΅ΡΠ΅Π΄ ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡΠΌΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ»Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ΅Π³ΠΎ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎ ΡΠΎΠ±ΠΈΡΠ°ΡΡ, ΠΎΠ±ΡΠ°Π±Π°ΡΡΠ²Π°ΡΡ ΠΈ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎ Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅.Π¦Π΅Π»ΡΡ Π΄Π°Π½Π½ΠΎΠΉ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ·Π½Π°ΠΊΠΎΠΌΠ»Π΅Π½ΠΈΠ΅ Ρ ΠΏΠΎΠ½ΡΡΠΈΠ΅ΠΌ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΠΈ ΡΡΡΡΠΊΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΡΡ
Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΡΠ΅ΡΠ°Ρ
Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π΄Π°Ρ Π² ΡΠ°ΡΡΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΠΈ ΠΏΠΎ Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅. ΠΠΏΠΈΡΠ°Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΠΈ ΠΏΠΎΡΡΠ΄ΠΎΠΊ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΡΡ
Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΡΠ΅ΡΠΎΠ², ΠΊΠ°ΠΊ Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ, ΡΠ°ΠΊ ΠΈ Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΡΠ΅ΠΊ Π·ΡΠ΅Π½ΠΈΡ.Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° Π΄Π»Ρ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΠΎΠΏΡΠ°Π²ΠΎΠ²ΡΠ΅ Π°ΠΊΡΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ, ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΡΡΠ±ΡΠΈΠΊΠΈ Β«ΠΠ°ΡΠ°Π±ΠΎΡΠ½Π°Ρ ΠΏΠ»Π°ΡΠ° ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΡΡ ΠΈ Π½Π°ΡΠΊΠΈΒ» Π€Π΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ, Π½Π°ΡΡΠ½ΡΠ΅ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ ΡΡΠ°ΡΡΠΈ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ΅ΡΠ°ΡΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠ»Ρ ΠΎΠ±Π»Π΅Π³ΡΠ΅Π½ΠΈΡ Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ ΠΎΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΏΠΎΠ½ΡΡΠΈΠΉ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΠΈ: ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅, ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ, Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π΄Π°Π½ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΠΈ, Π½ΠΎ ΡΠ°ΠΊΠΆΠ΅ ΠΏΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΎ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ. ΠΠ°Π·ΠΈΡΡΡΡΡ Π½Π° ΡΡΠΈΡ
ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡΡ
, Π² ΡΡΠ°ΡΡΠ΅ ΠΎΠΏΠΈΡΠ°Π½Π° ΡΠΈΡΡΠ΅ΠΌΠ° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΠΈ, ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΡΠ°ΠΏΡ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΠΈ ΠΏΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π½Π° Π½Π°ΡΡΡΠΎΠΉΠΊΠ° ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΡΡΠ΅ΡΠ° Π΄Π»Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠ½ΠΎΠ³ΠΎΡΡΠΎΠ²Π½Π΅Π²ΠΎΠΉ ΠΈΠ΅ΡΠ°ΡΡ
ΠΈΠΈ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΏΡΠ΅Π΄Π²Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π²ΡΠ±ΡΠ°Π½Π½ΡΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΠΈ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡΠΌΠΈ.Π’Π°ΠΊΠΆΠ΅ ΠΎΠΏΠΈΡΠ°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΠ°Π±ΠΎΡΡ Ρ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΡΡ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΡΡΠ΅ΡΠ° Β«Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΡ ΠΏΠΎ Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅Β» Π² ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π±ΡΠ΄ΠΆΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Β«ΠΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π¦Π΅Π½ΡΡ ΠΈΠΌΠ΅Π½ΠΈ Π.Π. ΠΠΈΡΠΎΠ³ΠΎΠ²Π°Β» ΠΠΈΠ½ΠΈΡΡΠ΅ΡΡΡΠ²Π° Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ.Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π±ΡΠ»Π° ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΡΡ
Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΡΠ΅ΡΠΎΠ² Π΄Π»Ρ ΡΠ±ΠΎΡΠ°, ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΠΎ Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡΠ³Π»ΡΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΠΎΡΠ΅Π½ΠΊΠ° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΠ΅Π»Π΅Π²ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΏΠΎ Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΠ΅ ΡΠ²Π»ΡΡΡΡΡ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉ Π΄Π»Ρ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ ΠΎΠΏΠ»Π°ΡΡ ΡΡΡΠ΄Π° ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ². Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΡΠ΅ΡΠ½ΠΎΡΡΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΎΠ±Π»Π΅Π³ΡΠΈΡΡ ΡΡΡΠ΄ΠΎΠ΅ΠΌΠΊΠΈΠΉ ΠΏΡΠΎΡΠ΅ΡΡ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈ Π²Π°ΠΆΠ½ΡΡ
ΡΠΏΡΠ°Π²Π»Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΡΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²ΠΎΠΌ ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ.ΠΠ²ΡΠΎΡΡ ΠΏΡΠΈΡΠ»ΠΈ ΠΊ Π²ΡΠ²ΠΎΠ΄Ρ, ΡΡΠΎ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΏΠΎΠ΄ΠΎΠ±Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ ΠΌΠΎΠΆΠ΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΡΠΊΠΎΡΠ΅Π½ΠΈΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π΄Π»Ρ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ
, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΡΠ΅ΡΠΎΠ² Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠ΅Π·Π°Ρ
Ρ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ Π³Π»ΡΠ±ΠΈΠ½ΠΎΠΉ Π΄Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ.
ΠΠΠ’ΠΠΠΠΠΠ§ΠΠ‘ΠΠΠ ΠΠΠ Π£Π¨ΠΠΠΠ― Π Π’Π ΠΠΠΠΠΠΠΠΠΠΠ― ΠΠΠΠΠ§ΠΠΠ ΠΠ Π’ΠΠ ΠΠ
The purpose of the study. To examine the contribution of diabetes and obesity in the development of pulmonary embolism on the based data of the Register of new hospital of pulmonary embolism (PE) in hospitals inTomsk(2003β2012). Material and Methods. The medical history and records of autopsies of patients treated in hospitals in the city ofTomsk, 2003β2012, and anatomopathological and/or instrumental examination revealed pulmonary embolism have been subjected to studies. We used the classification of diabetes mellitus proposed by the WHO in1999 inour work, because the register including data (2003β2012). The degree of obesity was assessed according to WHO classification (1997). Statistical analysis of the results was carried out with the help of software for computer Statistica for Windows, version 8.0. The ShapiroβWilk and KolmogorovβSmirnov tests was used to determine the nature of the distribution of the data. The ho mogeneity of the population variance was assessed using Fisher's exact test andLeuventest. The Mannβ Whitney test was used when comparing two independent samples to determine the significance of differences. The analysis was conducted by means of qualitative characteristics contingency tables using Pearson Ο 2 . The odds ratio was calculated to assess the association between a specific outcome and the risk. Data are presented as M Β± SD factor. The significance level of p for all procedures used by the statistical analysis was taken to be 0.05. It was considered statistically significant level of p < 0.05. The results of the study. In intermediate urbanized city ofWestern Siberia,Tomsk, established register of hospital pulmonary embolism (2003β2012). The register included 751patients whose in vivo and / or postmortem revealed pulmonary embolism (PE). The data histories and autopsy reports was analyze. The type 2diabetes was diagnosed in 205 patients. The type 2 diabetes moderate had 29%. Diabetes severe suffer 82 patients (40%). In the group body mass index (BMI) was (29.24 Β± 7.87) kg/m2 . Obesity diagnosed in 157patients (20.9%). It occurs in24.7% of cases for women andin 15.2% of cases for men. If a patient had obesity grade 3 was found to increase the risk of a massive thromboembolism in 3.27 times (OR = 3.27; 95% confidence interval [1.60β6.69]; p = 0.001) and an increase in the risk of fatal thromboembolism 3.56 times(OR = 3.56; 95% CI [1.73β7.43]; p = 0.001). It does not detect the influence of obesity 1 and 2 degrees on the development of a massive pulmonary embolism, or PE, which would cause the patient's death. Significant effect of type 2 diabetes was found on the development of the heavy flow of fatal pulmonary embolism.Β Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π΄Π°Π½Π½ΡΡ
Π Π΅Π³ΠΈΡΡΡΠ° Π½ΠΎΠ²ΡΡ
ΡΠ»ΡΡΠ°Π΅Π² Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ (Π’ΠΠΠ) Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°Ρ
Π³.Β Π’ΠΎΠΌΡΠΊΠ° (2003β2012Β Π³Π³.) ΠΈΠ·ΡΡΠΈΡΡ Π²ΠΊΠ»Π°Π΄ ΡΠ°Ρ
Π°ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°Π±Π΅ΡΠ° (Π‘Π) ΠΈ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΌΠ±ΠΎΠ»ΠΈΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ.Β ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π½ΡΡΡ ΠΈΡΡΠΎΡΠΈΠΈ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡΠΎΡΠΎΠΊΠΎΠ»Ρ Π²ΡΠΊΡΡΡΠΈΠΉ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π»Π΅ΡΠΈΠ²ΡΠΈΡ
ΡΡ Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°Ρ
Π³. Π’ΠΎΠΌΡΠΊΠ° Π² 2003β2012Β Π³Π³., Ρ ΠΊΠΎΡΠΎΡΡΡ
ΠΏΡΠΈ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΎΠ°Π½Π°Π½ΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΈΒ (ΠΈΠ»ΠΈ) ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ Π²ΡΡΠ²Π»Π΅Π½Π° Π’ΠΠΠ. Π£ΡΠΈΡΡΠ²Π°Ρ ΡΡΠΎΠΊΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π Π΅Π³ΠΈΡΡΡΠ° (2003β2012Β Π³Π³.), Π² Π½Π°ΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»Π°ΡΡ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ Π‘Π, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Π°Ρ ΠΠΠ Π² 1999Β Π³. Ρ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠΌΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌΠΈ. Π‘ΡΠ΅ΠΏΠ΅Π½Ρ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΠΠΠ (1997).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅.Β Π ΡΡΠ΅Π΄Π½Π΅ΡΡΠ±Π°Π½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΌ Π³ΠΎΡΠΎΠ΄Π΅ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ β Π’ΠΎΠΌΡΠΊΠ΅ β ΡΠΎΠ·Π΄Π°Π½ Π Π΅Π³ΠΈΡΡΡ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠΉ Π’ΠΠΠ (2003β2012Β Π³Π³.). Π Π Π΅Π³ΠΈΡΡΡ Π±ΡΠ» Π²ΠΊΠ»ΡΡΠ΅Π½ 751 ΠΏΠ°ΡΠΈΠ΅Π½Ρ, Ρ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΏΡΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎ ΠΈΒ (ΠΈΠ»ΠΈ) ΠΏΠΎΡΠΌΠ΅ΡΡΠ½ΠΎ Π²ΡΡΠ²Π»Π΅Π½Π° Π’ΠΠΠ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΈΡΡΠΎΡΠΈΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡΠΎΡΠΎΠΊΠΎΠ»ΠΎΠ² ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΎΠ°Π½Π°ΡΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΡΠΊΡΡΡΠΈΠΉ. Π‘Π°Ρ
Π°ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π±Π΅Ρ 2-Π³ΠΎ ΡΠΈΠΏΠ° (Π‘Π-2) Π²ΡΡΠ²Π»Π΅Π½ Ρ 205 Π±ΠΎΠ»ΡΠ½ΡΡ
, ΠΈΠ· Π½ΠΈΡ
60 (29%) ΠΈΠΌΠ΅Π»ΠΈ Π‘Π-2 ΡΡΠ΅Π΄Π½Π΅ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΡΠΆΠ΅ΡΡΠΈ. ΠΠΈΠ°Π±Π΅ΡΠΎΠΌ ΡΡΠΆΠ΅Π»ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΡΡΠ°Π΄Π°Π»ΠΈ 82 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° (40%). ΠΠ½Π΄Π΅ΠΊΡ ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π° (ΠΠΠ’) Π² Π³ΡΡΠΏΠΏΠ΅ Π»ΠΈΡ, ΡΡΡΠ°Π΄Π°ΡΡΠΈΡ
Π‘Π, ΡΠΎΡΡΠ°Π²ΠΈΠ» (29,24Β Β±Β 7,87)Β ΠΊΠ³/ΠΌ2. ΠΠΆΠΈΡΠ΅Π½ΠΈΠ΅ Π·Π°ΡΠΈΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΎ Ρ 157 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² (20,9%). Π£ ΠΆΠ΅Π½ΡΠΈΠ½ ΠΎΠ½ΠΎ Π²ΡΡΡΠ΅ΡΠ°Π»ΠΎΡΡ Π² 24,7% ΡΠ»ΡΡΠ°Π΅Π², Ρ ΠΌΡΠΆΡΠΈΠ½ β Π² 15,2%. ΠΡΠΈ Π½Π°Π»ΠΈΡΠΈΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ 3-ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ°ΡΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ Π² 3,27 ΡΠ°Π·Π° (ΠΠ¨Β =Β 3,27; 95%-ΠΉ ΠΠ [1,60β6,69];Β ΡΒ =Β 0,001) ΠΈ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠΈ Π² 3,56 ΡΠ°Π·Π° (ΠΠ¨Β =Β 3,56; 95%-ΠΉ ΠΠ [1,73β7,43];Β pΒ =Β 0,001). ΠΡΠΈ ΡΡΠΎΠΌ Π½Π΅ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ 1-ΠΉ ΠΈ 2-ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΌΠ°ΡΡΠΈΠ²Π½ΠΎΠΉ Π’ΠΠΠ, ΠΈΠ»ΠΈ Π’ΠΠΠ, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΡΠ°Π»Π° Π±Ρ ΠΏΡΠΈΡΠΈΠ½ΠΎΠΉ ΡΠΌΠ΅ΡΡΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°. ΠΡΡΠ²Π»Π΅Π½ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎΠ΅ (Ρ £ 0,001) Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π‘Π-2 ΡΡΠΆΠ΅Π»ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π° Π»Π΅ΡΠ°Π»ΡΠ½ΡΠΉ ΠΈΡΡ
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