Glomerulopathie als complicatie van monocytaire ehrlichiose bij een hond

This report describes a clinical case of chronic monocytic ehrlichiosis in a dog that originated from Spain. The patient was presented with chronic unilateral epistaxis. Hematologic and biochemical abnormalities namely anemia, thrombocytopenia, neutropenia, lymphocytosis, hyperproteinemia, hypoalbuminemia and hypergammaglobulinemia together with the anamnesis, suggested an infection with Ehrlichia canis. Although gammopathy caused by ehrlichiosis is usually polyclonal, serum protein electrophoresis revealed a monoclonal gammopathy. E.canis titers were strongly positive. The dog was treated with doxycycline for a period of eight weeks, which led to resolution of the clinical signs and laboratory abnormalities, except for persistent hyperproteinemia. Proteinuria was recognized one year later. This was probably due to glomerular damage as a result of chronic ehrlichiosis. Combination therapy with doxycycline, a low protein diet, an ACE-inhibitor and acetylsalicylic acid lead to a significant reduction in the magnitude of proteinuria

On the multispacecraft determination of periodic surface wave phase speeds and wavelengths

Observations of surface waves on the magnetopause indicate a wide range of phase velocities and wavelengths. Their multispacecraft analysis allows a more precise determination of wave characteristics than ever before and reveal shortcomings of approximations to the phase speed that take a predetermined fraction of the magnetosheath speed or the average flow velocity in the boundary layer. We show that time lags between two or more spacecraft can give a qualitative upper estimate, and we confirm the unreliability of flow approximations often used by analyzing a few cases. Using two‐point distant magnetic field observations and spectral analysis of the tailward magnetic field component, we propose an alternative method to estimate the wavelength and phase speed at a single spacecraft from a statistical fit to the data at the other site

The use of neural network algorithms for the classification of undifferentiated arthritis by synovial histopathology

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