70 research outputs found

    Turbulence Modeling Validation, Testing, and Development

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    The primary objective of this work is to provide accurate numerical solutions for selected flow fields and to compare and evaluate the performance of selected turbulence models with experimental results. Four popular turbulence models have been tested and validated against experimental data often turbulent flows. The models are: (1) the two-equation k-epsilon model of Wilcox, (2) the two-equation k-epsilon model of Launder and Sharma, (3) the two-equation k-omega/k-epsilon SST model of Menter, and (4) the one-equation model of Spalart and Allmaras. The flows investigated are five free shear flows consisting of a mixing layer, a round jet, a plane jet, a plane wake, and a compressible mixing layer; and five boundary layer flows consisting of an incompressible flat plate, a Mach 5 adiabatic flat plate, a separated boundary layer, an axisymmetric shock-wave/boundary layer interaction, and an RAE 2822 transonic airfoil. The experimental data for these flows are well established and have been extensively used in model developments. The results are shown in the following four sections: Part A describes the equations of motion and boundary conditions; Part B describes the model equations, constants, parameters, boundary conditions, and numerical implementation; and Parts C and D describe the experimental data and the performance of the models in the free-shear flows and the boundary layer flows, respectively

    Synthetic Turbulence, Fractal Interpolation and Large-Eddy Simulation

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    Fractal Interpolation has been proposed in the literature as an efficient way to construct closure models for the numerical solution of coarse-grained Navier-Stokes equations. It is based on synthetically generating a scale-invariant subgrid-scale field and analytically evaluating its effects on large resolved scales. In this paper, we propose an extension of previous work by developing a multiaffine fractal interpolation scheme and demonstrate that it preserves not only the fractal dimension but also the higher-order structure functions and the non-Gaussian probability density function of the velocity increments. Extensive a-priori analyses of atmospheric boundary layer measurements further reveal that this Multiaffine closure model has the potential for satisfactory performance in large-eddy simulations. The pertinence of this newly proposed methodology in the case of passive scalars is also discussed

    The Lag Model Applied to High Speed Flows

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    The Lag model has shown great promise in prediction of low speed and transonic separations. The predictions of the model, along with other models (Spalart-Allmaras and Menter SST) are assessed for various high speed flowfields. In addition to skin friction and separation predictions, the prediction of heat transfer are compared among these models, and some fundamental building block flowfields, are investigated

    Turbulence compressibility corrections

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    The basic objective of this research was to identify, develop and recommend turbulence models which could be incorporated into CFD codes used in the design of the National AeroSpace Plane vehicles. To accomplish this goal, a combined effort consisting of experimental and theoretical phases was undertaken. The experimental phase consisted of a literature survey to collect and assess a database of well documented experimental flows, with emphasis on high speed or hypersonic flows, which could be used to validate turbulence models. Since it was anticipated that this database would be incomplete and would need supplementing, additional experiments in the NASA Ames 3.5-Foot Hypersonic Wind Tunnel (HWT) were also undertaken. The theoretical phase consisted of identifying promising turbulence models through applications to simple flows, and then investigating more promising models in applications to complex flows. The complex flows were selected from the database developed in the first phase of the study. For these flows it was anticipated that model performance would not be entirely satisfactory, so that model improvements or corrections would be required. The primary goals of the investigation were essentially achieved. A large database of flows was collected and assessed, a number of additional hypersonic experiments were conducted in the Ames HWT, and two turbulence models (kappa-epsilon and kappa-omega models with corrections) were determined which gave superior performance for most of the flows studied and are now recommended for NASP applications

    Convergence to SPDEs in Stratonovich form

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    We consider the perturbation of parabolic operators of the form βˆ‚t+P(x,D)\partial_t+P(x,D) by large-amplitude highly oscillatory spatially dependent potentials modeled as Gaussian random fields. The amplitude of the potential is chosen so that the solution to the random equation is affected by the randomness at the leading order. We show that, when the dimension is smaller than the order of the elliptic pseudo-differential operator P(x,D)P(x,D), the perturbed parabolic equation admits a solution given by a Duhamel expansion. Moreover, as the correlation length of the potential vanishes, we show that the latter solution converges in distribution to the solution of a stochastic parabolic equation with a multiplicative term that should be interpreted in the Stratonovich sense. The theory of mild solutions for such stochastic partial differential equations is developed. The behavior described above should be contrasted to the case of dimensions that are larger than or equal to the order of the elliptic pseudo-differential operator P(x,D)P(x,D). In the latter case, the solution to the random equation converges strongly to the solution of a homogenized (deterministic) parabolic equation as is shown in the companion paper [2]. The stochastic model is therefore valid only for sufficiently small space dimensions in this class of parabolic problems.Comment: 21 page

    ВромботичСская окклюзия Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с острым ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ

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    Currently, reperfusion therapy is the main method of treating patients with ischemic stroke (IS). The safety and efficacy of systemic thrombolytic therapy with a recombinant tissue plasminogen activator in patients with IS within 3 hours, and then 4.5 hours after the onset of symptoms of the disease was demonstrated in the NINDS (1995) and ECASS III (2008) studies. In 2018, based on the results of five studies, clear indications were formulated for performing thrombectomy (TE) in patients with IS, which involve the detection of thrombosis of a large stroke-associated artery. Given the continuous growth in the number of the adult population, which constitutes the bulk of patients with IS, information on the prevalence of patients with thrombotic occlusion of cerebral arteries, who are potential candidates for TE, may be important for regional vascular centers.Aim of study. To describe IS patients admitted within the 6-hour β€œtherapeutic window”.Materials and methods. The study included 145 patients with cerebral IS who were admitted within the first 6 hours after the onset of symptoms of the disease. All patients underwent computed tomographic (CT) angiography in order to verify the occlusion of the cerebral artery.Results. In our study, a correlation was established between the NIHSS severity of IS and the likelihood of verification of stroke-related artery thrombosis by CT angiography, but in 32.6% of patients with severe stroke (NIHSS at least score 14), no thrombotic occlusion was detected, and in 13% of patients with a clinic of mild acute cerebrovascular accident (NIHSS no more than 6), on the contrary, thrombotic occlusion was detected. Mortality in patients with verified thrombotic occlusion of the cerebral artery was higher than in patients without it (38% versus 10.5%, p<0.001). Such a significant difference in the mortality rate was due to the initially more severe stroke (NIHSS at admission 17 [10; 23] versus 5 [2; 10], p><0.001) in patients with thrombotic occlusion of a stroke-related artery, as well as a higher incidence of severe swallowing disorders (30% versus 9.5%, p ><0.002), which are a risk factor for pneumonia, as well as a higher frequency of such a comorbid background as chronic kidney disease and atrial fibrillation (30% versus 13.7%, p=0.018% and 58% versus 29.5%, p=0.001, respectively). CONCLUSION 1. Thrombosis of the cerebral stroke-associated artery was detected in 34.5% of patients with ischemic stroke who were admitted within the first 6 hours from the onset of the disease. 2. The main reason for the failure to perform thrombectomy in patients with ischemic stroke admitted within the 6-hour therapeutic window is the lack of verification of stroke-related artery thrombosis using computed tomographic angiography. Due to thrombosis at a different location (other than thrombosis of the internal carotid artery and / or M1 segment of the middle cerebral artery), 10% of patients with verified thrombosis did not meet the currently existing selection criteria for thrombectomy. Keywords: ischemic stroke, reperfusion therapy, cerebral artery thrombosis, cryptogenic stroke>Λ‚0.001). Such a significant difference in the mortality rate was due to the initially more severe stroke (NIHSS at admission 17 [10; 23] versus 5 [2; 10], pΛ‚0.001) in patients with thrombotic occlusion of a stroke-related artery, as well as a higher incidence of severe swallowing disorders (30% versus 9.5%, pΛ‚0.002), which are a risk factor for pneumonia, as well as a higher frequency of such a comorbid background as chronic kidney disease and atrial fibrillation (30% versus 13.7%, p=0.018% and 58% versus 29.5%, p=0.001, respectively).Conclusion. 1. Thrombosis of the cerebral stroke-associated artery was detected in 34.5% of patients with ischemic stroke who were admitted within the first 6 hours from the onset of the disease. 2. The main reason for the failure to perform thrombectomy in patients with ischemic stroke admitted within the 6-hour therapeutic window is the lack of verification of stroke-related artery thrombosis using computed tomographic angiography. Due to thrombosis at a different location (other than thrombosis of the internal carotid artery and / or M1 segment of the middle cerebral artery), 10% of patients with verified thrombosis did not meet the currently existing selection criteria for thrombectomy.Β Π’ настоящСС врСмя рСпСрфузионная тСрапия являСтся основным ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ лСчСния ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ (ИИ). Π‘Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡ‚ΡŒ ΠΈ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ систСмной тромболитичСской Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ Ρ€Π΅ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Π½Ρ‚Π½ΠΎΠ³ΠΎ Ρ‚ΠΊΠ°Π½Π΅Π²ΠΎΠ³ΠΎ Π°ΠΊΡ‚ΠΈΠ²Π°Ρ‚ΠΎΡ€Π° ΠΏΠ»Π°Π·ΠΌΠΈΠ½ΠΎΠ³Π΅Π½Π° Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ИИ Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… 3 часов, Π° Π² ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΌ 4,5 часа ΠΎΡ‚ Π½Π°Ρ‡Π°Π»Π° симптомов заболСвания Π±Ρ‹Π»Π° продСмонстрирована Π² исслСдованиях NINDS (1995) ΠΈ ECASS III (2008). Π’ 2018 Π³ΠΎΠ΄Ρƒ, ΠΎΡΠ½ΠΎΠ²Ρ‹Π²Π°ΡΡΡŒ Π½Π° Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°Ρ… пяти исслСдований, Π±Ρ‹Π»ΠΈ сформулированы Ρ‡Π΅Ρ‚ΠΊΠΈΠ΅ показания для выполнСния тромбэктомии (Π’Π­) Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ИИ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΠΎΠ΄Ρ€Π°Π·ΡƒΠΌΠ΅Π²Π°ΡŽΡ‚ выявлСниС Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° ΠΊΡ€ΡƒΠΏΠ½ΠΎΠΉ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ. Π’ условиях Π½Π΅ΠΏΡ€Π΅Ρ€Ρ‹Π²Π½ΠΎΠ³ΠΎ роста числа взрослого насСлСния, ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‰Π΅Π³ΠΎ ΠΎΡΠ½ΠΎΠ²Π½ΡƒΡŽ массу ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ИИ, информация ΠΎ распространСнности Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с тромботичСской окклюзиСй Ρ†Π΅Ρ€Π΅Π±Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΉ, ΡΠ²Π»ΡΡŽΡ‰ΠΈΡ…ΡΡ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΏΡ€Π΅Ρ‚Π΅Π½Π΄Π΅Π½Ρ‚Π°ΠΌΠΈ для выполнСния Π’Π­, ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ Π²Π°ΠΆΠ½ΠΎΠΉ для Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… сосудистых Ρ†Π΅Π½Ρ‚Ρ€ΠΎΠ².ЦСль исслСдования. ΠžΡ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΎΠ²Π°Ρ‚ΡŒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ИИ, ΠΏΠΎΡΡ‚ΡƒΠΏΠ°ΡŽΡ‰ΠΈΡ… Π² 6-часовом «тСрапСвтичСском ΠΎΠΊΠ½Π΅Β».ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 145 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Ρ†Π΅Ρ€Π΅Π±Ρ€Π°Π»ΡŒΠ½Ρ‹ΠΌ ИИ, ΠΏΠΎΡΡ‚ΡƒΠΏΠΈΠ²ΡˆΠΈΡ… Π² ΠΏΠ΅Ρ€Π²Ρ‹Π΅ 6 часов ΠΎΡ‚ Π½Π°Ρ‡Π°Π»Π° развития симптомов заболСвания. ВсСм ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌ с Ρ†Π΅Π»ΡŒΡŽ Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ окклюзии Ρ†Π΅Ρ€Π΅Π±Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ выполняли ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΡƒΡŽ Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ (КВ) Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΡŽ.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ нашСм исслСдовании Π±Ρ‹Π»Π° установлСна коррСляция ΠΌΠ΅ΠΆΠ΄Ρƒ Ρ‚ΡΠΆΠ΅ΡΡ‚ΡŒΡŽ ИИ ΠΏΠΎ шкалС NIHSS ΠΈ Π²Π΅Ρ€ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒΡŽ Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ КВ-Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ, Π½ΠΎ Ρƒ 32,6% ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎΠΉ тяТСлого ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° (NIHSS Π½Π΅ ΠΌΠ΅Π½Π΅Π΅ 14 Π±Π°Π»Π»ΠΎΠ²) Π½Π΅ Π±Ρ‹Π»ΠΎ выявлСно тромботичСской окклюзии, Π° Ρƒ 13% ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎΠΉ Π»Π΅Π³ΠΊΠΎ ΠΏΡ€ΠΎΡ‚Π΅ΠΊΠ°ΡŽΡ‰Π΅Π³ΠΎ острого Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ кровообращСния (NIHSS Π½Π΅ Π±ΠΎΠ»Π΅Π΅ 6 Π±Π°Π»Π»ΠΎΠ²), Π½Π°ΠΏΡ€ΠΎΡ‚ΠΈΠ², тромботичСская окклюзия Π±Ρ‹Π»Π° выявлСна. Π›Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ тромботичСской окклюзиСй Ρ†Π΅Ρ€Π΅Π±Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ Π±Ρ‹Π»Π° статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Π²Ρ‹ΡˆΠ΅, Ρ‡Π΅ΠΌ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π±Π΅Π· Ρ‚Π°ΠΊΠΎΠ²ΠΎΠΉ (38% ΠΏΡ€ΠΎΡ‚ΠΈΠ² 10,5%, Ρ€<0,001). Π‘Ρ‚ΠΎΠ»ΡŒ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ Ρ€Π°Π·Π½ΠΈΡ†Π° ΠΌΠ΅ΠΆΠ΄Ρƒ показатСлями Π»Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π±Ρ‹Π»Π° обусловлСна исходно Π±ΠΎΠ»Π΅Π΅ тяТСлым ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ (ΠΎΡ†Π΅Π½ΠΊΠ° ΠΏΠΎ NIHSS ΠΏΡ€ΠΈ поступлСнии 17 [10; 23] ΠΏΡ€ΠΎΡ‚ΠΈΠ² 5 [2; 10], p><0,001, статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ) Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с тромботичСской окклюзиСй ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ большСй частотой статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Ρ… Π³Ρ€ΡƒΠ±Ρ‹Ρ… расстройств глотания (30% ΠΏΡ€ΠΎΡ‚ΠΈΠ² 9,5%, p><0,002, статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ), ΡΠ²Π»ΡΡŽΡ‰ΠΈΡ…ΡΡ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠΌ риска развития ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ ΠΈ Ρ‚Π°ΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΎΡ€Π±ΠΈΠ΄Π½ΠΎΠ³ΠΎ Ρ„ΠΎΠ½Π°, ΠΊΠ°ΠΊ хроничСская болСзнь ΠΏΠΎΡ‡Π΅ΠΊ ΠΈ фибрилляция прСдсСрдий (30% ΠΏΡ€ΠΎΡ‚ΠΈΠ² 13,7%, Ρ€=0,018 ΠΈ 58% ΠΏΡ€ΠΎΡ‚ΠΈΠ² 29,5%, Ρ€=0,001 соотвСтствСнно). Π’Ρ‹Π²ΠΎΠ΄Ρ‹ 1. Π’Ρ€ΠΎΠΌΠ±ΠΎΠ· Ρ†Π΅Ρ€Π΅Π±Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ выявлСн Ρƒ 34,5% ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, ΠΏΠΎΡΡ‚ΡƒΠΏΠ°ΡŽΡ‰ΠΈΡ… Π² ΠΏΠ΅Ρ€Π²Ρ‹Π΅ 6 часов ΠΎΡ‚ Π½Π°Ρ‡Π°Π»Π° заболСвания. 2. Основной ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΎΠΉ нСвыполнСния тромбэктомии Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, ΠΏΠΎΡΡ‚ΡƒΠΏΠΈΠ²ΡˆΠΈΡ… Π² 6-часовом «тСрапСвтичСском ΠΎΠΊΠ½Π΅Β», являСтся отсутствиС Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ томографичСской Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. По ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π΅ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° Π΄Ρ€ΡƒΠ³ΠΎΠΉ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ (ΠΎΡ‚Π»ΠΈΡ‡Π½ΠΎΠΉ ΠΎΡ‚ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅ΠΉ сонной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ ΠΈ/ΠΈΠ»ΠΈ М1 сСгмСнта срСднСй ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ) 10% ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·ΠΎΠΌ Π½Π΅ соотвСтствовали ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠΌ Π² настоящСС врСмя критСриям ΠΎΡ‚Π±ΠΎΡ€Π° для выполнСния тромбэктомии. ΠšΠ»ΡŽΡ‡Π΅Π²Ρ‹Π΅ слова: ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΉ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚, рСпСрфузионная тСрапия, Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ· ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ, ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Π΅Π½Π½Ρ‹ΠΉ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚>Λ‚ 0,001). Π‘Ρ‚ΠΎΠ»ΡŒ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ Ρ€Π°Π·Π½ΠΈΡ†Π° ΠΌΠ΅ΠΆΠ΄Ρƒ показатСлями Π»Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π±Ρ‹Π»Π° обусловлСна исходно Π±ΠΎΠ»Π΅Π΅ тяТСлым ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ (ΠΎΡ†Π΅Π½ΠΊΠ° ΠΏΠΎ NIHSS ΠΏΡ€ΠΈ поступлСнии 17 [10; 23] ΠΏΡ€ΠΎΡ‚ΠΈΠ² 5 [2; 10], pΛ‚ 0,001, статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ) Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с тромботичСской окклюзиСй ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ большСй частотой статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Ρ… Π³Ρ€ΡƒΠ±Ρ‹Ρ… расстройств глотания (30% ΠΏΡ€ΠΎΡ‚ΠΈΠ² 9,5%, pΛ‚ 0,002, статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ), ΡΠ²Π»ΡΡŽΡ‰ΠΈΡ…ΡΡ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠΌ риска развития ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ ΠΈ Ρ‚Π°ΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΎΡ€Π±ΠΈΠ΄Π½ΠΎΠ³ΠΎ Ρ„ΠΎΠ½Π°, ΠΊΠ°ΠΊ хроничСская болСзнь ΠΏΠΎΡ‡Π΅ΠΊ ΠΈ фибрилляция прСдсСрдий (30% ΠΏΡ€ΠΎΡ‚ΠΈΠ² 13,7%, Ρ€=0,018 ΠΈ 58% ΠΏΡ€ΠΎΡ‚ΠΈΠ² 29,5%, Ρ€=0,001 соотвСтствСнно).Π’Ρ‹Π²ΠΎΠ΄Ρ‹. 1. Π’Ρ€ΠΎΠΌΠ±ΠΎΠ· Ρ†Π΅Ρ€Π΅Π±Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ выявлСн Ρƒ 34,5% ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, ΠΏΠΎΡΡ‚ΡƒΠΏΠ°ΡŽΡ‰ΠΈΡ… Π² ΠΏΠ΅Ρ€Π²Ρ‹Π΅ 6 часов ΠΎΡ‚ Π½Π°Ρ‡Π°Π»Π° заболСвания. 2. Основной ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΎΠΉ нСвыполнСния тромбэктомии Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚ΠΎΠΌ, ΠΏΠΎΡΡ‚ΡƒΠΏΠΈΠ²ΡˆΠΈΡ… Π² 6-часовом «тСрапСвтичСском ΠΎΠΊΠ½Π΅Β», являСтся отсутствиС Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚-связанной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ томографичСской Π°Π½Π³ΠΈΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. По ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π΅ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° Π΄Ρ€ΡƒΠ³ΠΎΠΉ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ (ΠΎΡ‚Π»ΠΈΡ‡Π½ΠΎΠΉ ΠΎΡ‚ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅ΠΉ сонной Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ ΠΈ/ΠΈΠ»ΠΈ М1 сСгмСнта срСднСй ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ) 10% ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·ΠΎΠΌ Π½Π΅ соотвСтствовали ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠΌ Π² настоящСС врСмя критСриям ΠΎΡ‚Π±ΠΎΡ€Π° для выполнСния тромбэктомии.

    Natural solution to antibiotic resistance: bacteriophages β€˜The Living Drugs’

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