1,294 research outputs found

    Signal amplification in a qubit-resonator system

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    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

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    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 Ξ»βˆ—\lambda_{\ast} and a bare tunneling coupling strength Ξ”0\Delta_{0}. When Ξ”0>Ξ»βˆ—\Delta_{0}>\lambda_{\ast}, the internal interaction is negligible and tunneling remains coherent determined by Ξ”0\Delta_{0}. When Ξ”0<Ξ»βˆ—\Delta_{0}<\lambda_{\ast}, coherent tunneling breaks down and an effective tunneling amplitude decreases by an exponentially small overlap factor Ξ·βˆ—β‰ͺ1\eta^{\ast}\ll1 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 T<Ξ»βˆ—T<\lambda_{*}. The theory is applied for interpreting the anomalous behavior of the resonant dielectric susceptibility in amorphous solids at low temperatures T≀5T\leq 5mK 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

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    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

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    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€ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ состояниС ß-Π°Π΄Ρ€Π΅Π½ΠΎΡ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ² Π»ΠΈΠΌΡ„ΠΎΡ†ΠΈΡ‚ΠΎΠ² Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ с обструктивным Π±Ρ€ΠΎΠ½Ρ…ΠΈΡ‚ΠΎΠΌ ΠΈ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ ß-адрСноагонистам

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    The state of lymphocytes’ 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 lymphocytes’ 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.Π‘Ρ‹Π»ΠΎ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΎ состояниС Β Ξ²2-Π°Π΄Ρ€Π΅Π½ΠΎΡ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ² Π»ΠΈΠΌΡ„ΠΎΡ†ΠΈΡ‚ΠΎΠ² Ρƒ 26 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π² ΠΏΠ΅Ρ€Π²ΠΎΠΌ Ρ‚Ρ€Π΅Ρ…Π»Π΅Ρ‚ΠΈΠ΅ΠΌ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΆΠΈΠ·Π½ΠΈ ΠΈ Ρƒ 143 Π΄Π΅Ρ‚Π΅ΠΉ с обструктивным Π±Ρ€ΠΎΠ½Ρ…ΠΈΡ‚ΠΎΠΌ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ Π²Π½ΡƒΡ‚Ρ€ΠΈΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹Ρ… биохимичСских адрСнозависимых процСссов. Π‘Ρ‹Π»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ΅ сниТСниС активности Π³Π»ΠΈΠΊΠΎΠ³Π΅Π½ΠΎΠ»ΠΈΠ·Π° Π»ΠΈΠΌΡ„ΠΎΡ†ΠΈΡ‚ΠΎΠ², ΠΊΠΎΡ€Ρ€Π΅Π»ΠΈΡ€ΡƒΡŽΡ‰Π΅Π΅ с Ρ‚ΡΠΆΠ΅ΡΡ‚ΡŒΡŽ ΠΈ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ тСчСния Π±ΠΎΠ»Π΅Π·Π½ΠΈ. Π’ Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ лСчСния этих Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Ξ²2 -адрСноагонистами восстановлСниС Π°Π΄Ρ€Π΅Π½ΠΎΡ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€Π½ΠΎΠΉ активности Π±Ρ‹Π»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅ Π΄Π°Π»ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ Π΄Π΅ΡΠ΅Π½ΡΠΈΠ±ΠΈΠ»ΠΈΠ·Π°Ρ†ΠΈΡŽ Ξ²2-Π°Π΄Ρ€Π΅Π½ΠΎΡ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ² Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ с обструктивным Π±Ρ€ΠΎΠ½Ρ…ΠΈΡ‚ΠΎΠΌ. ΠŸΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΠΌΡ‹ΠΉ комплСкс диагностичСских тСстов ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ использован Π² Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ с обструктивным Π±Ρ€ΠΎΠ½Ρ…ΠΈΡ‚ΠΎΠΌ

    ΠžΠ–Π˜Π Π•ΠΠ˜Π• КАК ЀАКВОР РИБКА Π’Π ΠžΠœΠ‘ΠžΠ­ΠœΠ‘ΠžΠ›Π˜Π˜ Π›Π•Π“ΠžΠ§ΠΠžΠ™ ΠΠ Π’Π•Π Π˜Π˜

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    The aim of the study. Based on the data of the Register of new cases of hospital pulmonary embolism (PE) in hospitals in Tomsk (2003–2012), 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 2003–2012, 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 Shapiro–Wilk test and the Kolmogorov–Smirnov 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 &lt; 0.05.The results of the study. In Western Siberia, Tomsk, a register of hospital pulmonary embolism (2003–2012). 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: 1,461–5,020).ЦСль исслСдования. На основании Π΄Π°Π½Π½Ρ‹Ρ… РСгистра Π½ΠΎΠ²Ρ‹Ρ… случаСв Π³ΠΎΡΠΏΠΈΡ‚Π°Π»ΡŒΠ½ΠΎΠΉ тромбоэмболии Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ (ВЭЛА) Π² стационарах Π³. Вомска (2003–2012 Π³Π³.), ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ Π²ΠΊΠ»Π°Π΄ оТирСния Π² Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ тромбоэмболии.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ИсслСдованию Π±Ρ‹Π»ΠΈ ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚Ρ‹ истории Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Ρ‹ вскрытий ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Π»Π΅Ρ‡ΠΈΠ²ΡˆΠΈΡ…ΡΡ Π² стационарах Π³. Вомска Π² 2003–2012 Π³Π³., Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΡ€ΠΈ патологоанатомичСском ΠΈ (ΠΈΠ»ΠΈ) ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎΠΌ исслСдовании выявлСна ВЭЛА. Π‘Ρ‚Π΅ΠΏΠ΅Π½ΡŒ оТирСния ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»ΠΈ согласно критСриям Π’ΠžΠ— (1997). БтатистичСская ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡŒ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΏΠ°ΠΊΠ΅Ρ‚Π° ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ Statistica 8.0 for Windows. Для ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠΈ Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ распрСдСлСния количСствСнных ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² использовали ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΉ Шапиро–Уилка ΠΈ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΉ ΠšΠΎΠ»ΠΌΠΎΠ³ΠΎΡ€ΠΎΠ²Π°β€“Π‘ΠΌΠΈΡ€Π½ΠΎΠ²Π° с ΠΏΠΎΠΏΡ€Π°Π²ΠΊΠΎΠΉ ЛиллиСфорса. ΠŸΡ€ΠΎΠ²Π΅Ρ€ΠΊΡƒ равСнства Π³Π΅Π½Π΅Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… диспСрсий осущСствляли с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² Π€ΠΈΡˆΠ΅Ρ€Π° ΠΈ ΠšΠΎΡ…Ρ€ΡΠ½Π°. БтатистичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹ΠΌ считали ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ p &lt; 0,05.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ обсуТдСниС. Π’ срСднСурбанизированном Π³ΠΎΡ€ΠΎΠ΄Π΅ Π—Π°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡ€ΠΈ, ВомскС, создан РСгистр Π³ΠΎΡΠΏΠΈΡ‚Π°Π»ΡŒΠ½ΠΎΠΉ тромбоэмболии Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ (2003–2012 Π³Π³.). Π’ РСгистр Π±Ρ‹Π»ΠΈ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 720 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΡ€ΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎ ΠΈ (ΠΈΠ»ΠΈ) посмСртно выявлСна ВЭЛА. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Π΄Π°Π½Π½Ρ‹Π΅ историй Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»ΠΎΠ² патологоанатомичСского вскрытия. Π’Ρ‹ΡΠ²ΠΈΠ»ΠΈΡΡŒ статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Π΅ различия Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ индСкса массы Ρ‚Π΅Π»Π° (Ρ€ = 0,033) ΠΈ наличия оТирСния (Ρ€ = 0,002) Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ВЭЛА, Π·Π°Π½ΠΈΠΌΠ°ΡŽΡ‰ΠΈΡ… тСрапСвтичСскиС ΠΈ хирургичСскиС ΠΊΠΎΠΉΠΊΠΈ. Как срСди тСрапСвтичСских, Ρ‚Π°ΠΊ ΠΈ срСди хирургичСских ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с тромбоэмболиСй Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Ρ‡Π°Ρ‰Π΅ ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»ΠΎΡΡŒ Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΌΡƒΠΆΡ‡ΠΈΠ½Π°ΠΌΠΈ (Ρ€ = 0,050 ΠΈ Ρ€ = 0,041 соотвСтствСнно).Богласно ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΌ Π΄Π°Π½Π½Ρ‹ΠΌ, ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ 1-ΠΉ ΠΈΠ»ΠΈ 2-ΠΉ стСпСни ΡΠ°ΠΌΠΎΡΡ‚ΠΎΡΡ‚Π΅Π»ΡŒΠ½ΠΎ (ΠΏΡ€ΠΈ ΠΈΠ·ΠΎΠ»ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΌ присутствии Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°) сущСствСнно Π½Π΅ ΠΏΠΎΠ²Ρ‹ΡˆΠ°Π»ΠΎ ΡˆΠ°Π½ΡΡ‹ развития массивной тромбоэмболии. Однако ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ 3-ΠΉ стСпСни ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°Π»ΠΎ ΡˆΠ°Π½ΡΡ‹ развития массивной ВЭЛА Π±ΠΎΠ»Π΅Π΅ Ρ‡Π΅ΠΌ Π² 2,7 Ρ€Π°Π·Π° (ОШ = 2,708; Π”Π˜: 1,461–5,020)

    ОПЫВ ΠΠ’Π’ΠžΠœΠΠ’Π˜Π—ΠΠ¦Π˜Π˜ Π€ΠžΠ ΠœΠ˜Π ΠžΠ’ΠΠΠ˜Π― Π‘Π’ΠΠ’Π˜Π‘Π’Π˜Π§Π•Π‘ΠšΠžΠ™ ΠžΠ’Π§Π•Π’ΠΠžΠ‘Π’Π˜ ПО Π—ΠΠ ΠΠ‘ΠžΠ’ΠΠžΠ™ ΠŸΠ›ΠΠ’Π• ΠœΠΠžΠ“ΠžΠŸΠ ΠžΠ€Π˜Π›Π¬ΠΠžΠ“Πž ΠœΠ•Π”Π˜Π¦Π˜ΠΠ‘ΠšΠžΠ“Πž Π£Π§Π Π•Π–Π”Π•ΠΠ˜Π―

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    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‘Ρ‚Π°Ρ‚ΡŒΡ посвящСна описанию ΠΎΠΏΡ‹Ρ‚Π° Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ процСссов формирования статистичСской отчСтности ΠΏΠΎ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Π΅ Π² Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΌ государствСнном Π±ΡŽΠ΄ΠΆΠ΅Ρ‚Π½ΠΎΠΌ ΡƒΡ‡Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠΈ Β«ΠΠ°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-хирургичСский Π¦Π΅Π½Ρ‚Ρ€ ΠΈΠΌΠ΅Π½ΠΈ Н.И. ΠŸΠΈΡ€ΠΎΠ³ΠΎΠ²Π°Β» ΠœΠΈΠ½ΠΈΡΡ‚Π΅Ρ€ΡΡ‚Π²Π° здравоохранСния Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ с использованиСм ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… систСм.Богласно Π΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΌΡƒ Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Ρƒ Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ, Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎΠΉ Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Β«Π΄ΠΎΡ€ΠΎΠΆΠ½ΠΎΠΉ ΠΊΠ°Ρ€Ρ‚Ρ‹Β» Π² ΠΌΠ°ΡΡˆΡ‚Π°Π±Π΅ государства производится сбор статистичСской ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΏΠΎ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Π΅ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² ΡƒΡ‡Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠΉ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ сфСры Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… срСзах прСдставлСния Π΄Π°Π½Π½Ρ‹Ρ…. Для прСдоставлСния статистичСской ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΏΠ΅Ρ€Π΅Π΄ учрСТдСниями ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ сфСры Π²ΠΎΠ·Π½ΠΈΠΊΠ»Π° Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ инструмСнта, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π΅Π³ΠΎ ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎ ΡΠΎΠ±ΠΈΡ€Π°Ρ‚ΡŒ, ΠΎΠ±Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°Ρ‚ΡŒ ΠΈ Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Π΄Π°Π½Π½Ρ‹Π΅ ΠΏΠΎ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Π΅.ЦСлью Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ являСтся ΠΎΠ·Π½Π°ΠΊΠΎΠΌΠ»Π΅Π½ΠΈΠ΅ с понятиСм ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ прСдставлСния Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ структурированиС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½Ρ‹Ρ… аналитичСских ΠΎΡ‚Ρ‡Π΅Ρ‚Π°Ρ… Π² Ρ€Π°ΠΌΠΊΠ°Ρ… практичСского примСнСния для Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ экономичСских Π·Π°Π΄Π°Ρ‡ Π² части формирования статистичСской отчСтности ΠΏΠΎ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Π΅. Описан Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ ΠΈ порядок формирования ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½Ρ‹Ρ… аналитичСских ΠΎΡ‚Ρ‡Π΅Ρ‚ΠΎΠ², ΠΊΠ°ΠΊ с мСтодологичСской, Ρ‚Π°ΠΊ ΠΈ с практичСской Ρ‚ΠΎΡ‡Π΅ΠΊ зрСния.Π’ качСствС ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π° для Π΄Π°Π½Π½ΠΎΠ³ΠΎ исслСдования Π±Ρ‹Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ Π½ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎΠΏΡ€Π°Π²ΠΎΠ²Ρ‹Π΅ Π°ΠΊΡ‚Ρ‹ Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ, статистичСскиС ΠΈ аналитичСскиС ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ Ρ€ΡƒΠ±Ρ€ΠΈΠΊΠΈ «Заработная ΠΏΠ»Π°Ρ‚Π° ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΉ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ сфСры ΠΈ Π½Π°ΡƒΠΊΠΈΒ» Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ слуТбы государствСнной статистики Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ, Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΈ ΡΡ‚Π°Ρ‚ΡŒΠΈ пСриодичСской ΠΏΠ΅Ρ‡Π°Ρ‚ΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ собствСнных исслСдований. Для облСгчСния восприятия особоС внимания удСляСтся описанию основных понятий ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠΉ аналитичСской отчСтности: ΠΈΠ·ΠΌΠ΅Ρ€Π΅Π½ΠΈΠ΅, ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ, Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅. Авторами Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π΄Π°Π½ΠΎ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠΉ аналитичСской отчСтности, Π½ΠΎ Ρ‚Π°ΠΊΠΆΠ΅ продСмонстрировано Π²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½ΠΎΠ΅ прСдставлСниС ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ пространства ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ. Π‘Π°Π·ΠΈΡ€ΡƒΡΡΡŒ Π½Π° этих опрСдСлСниях, Π² ΡΡ‚Π°Ρ‚ΡŒΠ΅ описана систСма Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠΉ аналитичСской отчСтности, рассмотрСны этапы проСктирования ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ аналитичСского прСдставлСния Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ продСмонстрирована настройка ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ аналитичСского ΠΎΡ‚Ρ‡Π΅Ρ‚Π° для построСния ΠΌΠ½ΠΎΠ³ΠΎΡƒΡ€ΠΎΠ²Π½Π΅Π²ΠΎΠΉ ΠΈΠ΅Ρ€Π°Ρ€Ρ…ΠΈΠΈ Π² соотвСтствии с ΠΏΡ€Π΅Π΄Π²Π°Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Π²Ρ‹Π±Ρ€Π°Π½Π½Ρ‹ΠΌΠΈ показатСлями ΠΈ измСрСниями.Π’Π°ΠΊΠΆΠ΅ описаны ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Ρ€Π°Π±ΠΎΡ‚Ρ‹ с ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠΉ аналитичСской ΠΎΡ‚Ρ‡Π΅Ρ‚Π½ΠΎΡΡ‚ΡŒΡŽ Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ формирования ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ аналитичСского ΠΎΡ‚Ρ‡Π΅Ρ‚Π° «БтатистичСская ΠΎΡ‚Ρ‡Π΅Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΏΠΎ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Π΅Β» Π² ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ систСмС Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ государствСнного Π±ΡŽΠ΄ΠΆΠ΅Ρ‚Π½ΠΎΠ³ΠΎ учрСТдСния Β«ΠΠ°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-хирургичСский Π¦Π΅Π½Ρ‚Ρ€ ΠΈΠΌΠ΅Π½ΠΈ Н.И. ΠŸΠΈΡ€ΠΎΠ³ΠΎΠ²Π°Β» ΠœΠΈΠ½ΠΈΡΡ‚Π΅Ρ€ΡΡ‚Π²Π° здравоохранСния Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ.Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π±Ρ‹Π»Π° ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½Π° ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ использования ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½Ρ‹Ρ… аналитичСских ΠΎΡ‚Ρ‡Π΅Ρ‚ΠΎΠ² для сбора, ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° статистичСской ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΏΠΎ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Π΅. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ° Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² выполнСния Ρ†Π΅Π»Π΅Π²Ρ‹Ρ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠΎ Π·Π°Ρ€Π°Π±ΠΎΡ‚Π½ΠΎΠΉ ΠΏΠ»Π°Ρ‚Π΅ ΡΠ²Π»ΡΡŽΡ‚ΡΡ основой для Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠΈΡ… процСссов модСлирования систСмы ΠΎΠΏΠ»Π°Ρ‚Ρ‹ Ρ‚Ρ€ΡƒΠ΄Π° ΠΈ прогнозирования финансовых Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ². Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, Π²Π½Π΅Π΄Ρ€Π΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅Ρ€Π½ΠΎΠΉ аналитичСской отчСтности ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΎΠ±Π»Π΅Π³Ρ‡ΠΈΡ‚ΡŒ Ρ‚Ρ€ΡƒΠ΄ΠΎΠ΅ΠΌΠΊΠΈΠΉ процСсс принятия стратСгичСски Π²Π°ΠΆΠ½Ρ‹Ρ… управлСнчСских Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ руководством учрСТдСния.Авторы ΠΏΡ€ΠΈΡˆΠ»ΠΈ ΠΊ Π²Ρ‹Π²ΠΎΠ΄Ρƒ, Ρ‡Ρ‚ΠΎ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΠΏΠΎΠ΄ΠΎΠ±Π½ΠΎΠ³ΠΎ инструмСнта Π² систСмС здравоохранСния ΠΌΠΎΠΆΠ΅Ρ‚ ΡΠΏΠΎΡΠΎΠ±ΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ ΡƒΡΠΊΠΎΡ€Π΅Π½ΠΈΡŽ ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ для Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½Ρ‹Ρ…, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ ΠΎΡ‚Ρ‡Π΅Ρ‚ΠΎΠ² Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… срСзах с установлСнной Π³Π»ΡƒΠ±ΠΈΠ½ΠΎΠΉ Π΄Π΅Ρ‚Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ.

    ΠœΠ•Π’ΠΠ‘ΠžΠ›Π˜Π§Π•Π‘ΠšΠ˜Π• ΠΠΠ Π£Π¨Π•ΠΠ˜Π― И Π’Π ΠžΠœΠ‘ΠžΠ­ΠœΠ‘ΠžΠ›Π˜Π― Π›Π•Π“ΠžΠ§ΠΠžΠ™ ΠΠ Π’Π•Π Π˜Π˜

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    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(2003–2012). Material and Methods. The medical history and records of autopsies of patients treated in hospitals in the city ofTomsk, 2003–2012, 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 (2003–2012). 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 Shapiro–Wilk and Kolmogorov–Smirnov 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 Mann– 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 &lt; 0.05. The results of the study. In intermediate urbanized city ofWestern Siberia,Tomsk, established register of hospital pulmonary embolism (2003–2012). 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 [1.60–6.69]; p = 0.001) and an increase in the risk of fatal thromboembolism 3.56 times(OR = 3.56; 95% CI [1.73–7.43]; 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. ЦСль исслСдования – Π½Π° основании Π΄Π°Π½Π½Ρ‹Ρ… РСгистра Π½ΠΎΠ²Ρ‹Ρ… случаСв Π³ΠΎΡΠΏΠΈΡ‚Π°Π»ΡŒΠ½ΠΎΠΉ тромбоэмболии Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ (ВЭЛА) Π² стационарах Π³. Вомска (2003–2012Β Π³Π³.) ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ Π²ΠΊΠ»Π°Π΄ сахарного Π΄ΠΈΠ°Π±Π΅Ρ‚Π° (Π‘Π”) ΠΈ оТирСния Π² Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ эмболии.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ИсслСдованию Π±Ρ‹Π»ΠΈ ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚Ρ‹ истории Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Ρ‹ вскрытий ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Π»Π΅Ρ‡ΠΈΠ²ΡˆΠΈΡ…ΡΡ Π² стационарах Π³. Вомска Π² 2003–2012Β Π³Π³., Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΡ€ΠΈ патологоанантомичСском ΠΈΒ (ΠΈΠ»ΠΈ) ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎΠΌ исслСдовании выявлСна ВЭЛА. Учитывая сроки создания РСгистра (2003–2012Β Π³Π³.), Π² нашСй Ρ€Π°Π±ΠΎΡ‚Π΅ использовалась классификация Π‘Π”, прСдлоТСнная Π’ΠžΠ— Π² 1999Β Π³. с ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠΌΠΈ критСриями. Π‘Ρ‚Π΅ΠΏΠ΅Π½ΡŒ оТирСния ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»ΠΈ согласно критСриям Π’ΠžΠ— (1997).Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ обсуТдСниС.Β Π’ срСднСурбанизированном Π³ΠΎΡ€ΠΎΠ΄Π΅ Π—Π°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡ€ΠΈ – ВомскС – создан РСгистр Π³ΠΎΡΠΏΠΈΡ‚Π°Π»ΡŒΠ½ΠΎΠΉ ВЭЛА (2003–2012Β Π³Π³.). Π’ РСгистр Π±Ρ‹Π» Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ 751 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚, Ρƒ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ ΠΏΡ€ΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎ ΠΈΒ (ΠΈΠ»ΠΈ) посмСртно выявлСна ВЭЛА. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Π΄Π°Π½Π½Ρ‹Π΅ историй Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΈ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»ΠΎΠ² патологоанатомичСских вскрытий. Π‘Π°Ρ…Π°Ρ€Π½Ρ‹ΠΉ Π΄ΠΈΠ°Π±Π΅Ρ‚ 2-Π³ΠΎ Ρ‚ΠΈΠΏΠ° (Π‘Π”-2) выявлСн Ρƒ 205 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ…, ΠΈΠ· Π½ΠΈΡ… 60 (29%) ΠΈΠΌΠ΅Π»ΠΈ Π‘Π”-2 срСднСй стСпСни тяТСсти. Π”ΠΈΠ°Π±Π΅Ρ‚ΠΎΠΌ тяТСлой стСпСни страдали 82 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° (40%). ИндСкс массы Ρ‚Π΅Π»Π° (ИМВ) Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ Π»ΠΈΡ†, ΡΡ‚Ρ€Π°Π΄Π°ΡŽΡ‰ΠΈΡ… Π‘Π”, составил (29,24Β Β±Β 7,87)Β ΠΊΠ³/ΠΌ2. ΠžΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ зафиксировано Ρƒ 157 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² (20,9%). Π£ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ ΠΎΠ½ΠΎ Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»ΠΎΡΡŒ Π² 24,7% случаСв, Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ – Π² 15,2%. ΠŸΡ€ΠΈ Π½Π°Π»ΠΈΡ‡ΠΈΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² оТирСния 3-ΠΉ стСпСни ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΎ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ риска развития массивной тромбоэмболии Π² 3,27 Ρ€Π°Π·Π° (ОШ =Β 3,27; 95%-ΠΉ Π”Π˜ [1,60–6,69];Β Ρ€Β =Β 0,001) ΠΈ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ риска развития Π»Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΠΉ тромбоэмболии Π² 3,56 Ρ€Π°Π·Π° (ОШ =Β 3,56; 95%-ΠΉ Π”Π˜ [1,73–7,43];Β pΒ =Β 0,001). ΠŸΡ€ΠΈ этом Π½Π΅ ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΎ влияния оТирСния 1-ΠΉ ΠΈ 2-ΠΉ стСпСни Π½Π° Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ массивной ВЭЛА, ΠΈΠ»ΠΈ ВЭЛА, которая стала Π±Ρ‹ ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΎΠΉ смСрти ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°. ВыявлСно статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎΠ΅ (р £ 0,001) влияниС Π‘Π”-2 тяТСлого тСчСния Π½Π° Π»Π΅Ρ‚Π°Π»ΡŒΠ½Ρ‹ΠΉ исход ВЭЛА
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