BACKGROUND:Existing approaches for measuring hemostasis parameters require multiple platforms, can take hours to provide results, and generally require 1-25 mL of sample. We developed a diagnostic platform that allows comprehensive assessment of hemostatic parameters on a single instrument and provides results within 15 min using 0.04 mL of blood with minimal sample handling.
Long-term results (7 to 26 years) after femoral neck and head revascularization were analyzed for 41 patients with degenerative dystrophic hip joint diseases: 27 patients with aseptic femoral head necrosis (AFHN), 9 patients with coxarthrosis, 5 - with cystoid remodeling of adjacent surfaces. Results were assessed by Harris scale. Degree of functional changes in hip joints was determined using computed stabilometry. Indirect proof of implanted vascular bundle vitality were radiologically, CT and MRI detected canals in the femoral neck and head that where the implants had been inserted. It was shown that revascularization was most effective (100 points by Harris scale) in patients with early (pre-radiologic) stage of AFHN and in patients with cystic remodeling.
CFD-modeling for numerical investigation is used in a wide range of applied tasks, e.g. in fluid mechanics. To better understand the effect of operational parameters on the final results, some tasks are associated with carrying out monotonous, repetitive calculations for a wide range of operational parameters such as velocity, flow direction and temperature. In this paper, a Python-based code for automation of the repeating calculations in CFD-modeling was developed and described. The automation code was tested for CFD-modeling in Ansys Fluent for two flow dynamic tasks: a simple 2D-geometry — NACA0018 airfoil, and a complex 3D-geometry — packed bed with heat transfer. Three different computers with various computational power were used for the comparison. The results of CFD-modeling were compared with the experimental data. The efficiency of using Python-based code was evaluated through comparison with the results of manual (without automation) calculation. It was established that the application of the Python-based code does not affect the accuracy of numerical results. At the same time, utilization of the Python-based code can save up to 25% of computation time for the simple 2D-geometries with a moderately low number of elements in the mesh, and up to 15% for the complex 3D-geometries with a number of elements in several millions. The compiled Python-based code is attached as supplementary material to this paper.
At assessment of 41 patients at late (7 to 26 years) terms after revascularization of the femoral head and neck, it was determined that 9 patients who underwent the surgery at the early, pre-radiological, stage of a vascular femoral head necrosis (AFHN) are healthy. In 18 patients who underwent the surgery at late terms of degenerative and dystrophic diseases of the hip joint (DDDHJ), worsening of the radiological picture was not associated with clinical progression of the disease. Histological investigation of the femoral heads showed that the vascular complex implanted into the head and neck of the femur functions for up to 22 years, and the lumen of the artery is patent, blood supply improves. The above mentioned, obviously, implies some favorable influence of this surgical intervention on the course of the pathological process.
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