Síndrome de Kawasaki e infección del tracto urinario por «Pseudomonas aeruginosa»: ¿casualidad o causalidad? / Kawasaki’s syndrome and urinary tract infection by Pseudomonas aeruginosa, coincidence or causality?

La enfermedad de Kawasaki es una vasculitis sistémica que afecta sobre todo a niños de entre 6 meses y 5 años de edad. Su curso es habitualmente autolimitado, pero puede dejar secuelas importantes, sobre todo si no se instaura un tratamiento adecuado. La etiología es desconocida, pero parecen estar implicadas diferentes bacterias a través de la formación de superantígenos, generando una respuesta inflamatoria intensa. En este artículo se presenta una asociación entre el síndrome de Kawasaki y la infección del tracto urinario por Pseudomonas aeruginosa en una niña de 2 años, y se discute la posible relación existente entre ambos(AU)

Kawasaki’s disease is a systemic vasculitis that primarily affects children between 6 months and 5 years old. Its evolution is usually self-limiting but it can leave serious sequelae, especially if an appropriate treatment is not initiated. The etiology is unknown, but different bacteria appear to be involved through the formation of superantigens, causing an intense inflammatory response. This article presents an association between Kawasaki syndrome and urinary tract infection by Pseudomonas aeruginosa in a girl of 2 years old and discusses their possible relationship(AU)

Artificial neural networks for closed loop control of in silico and ad hoc type 1 diabetes.

The closed loop control of blood glucose levels might help to reduce many short- and long-term complications of type 1 diabetes. Continuous glucose monitoring and insulin pump systems have facilitated the development of the artificial pancreas. In this paper, artificial neural networks are used for both the identification of patient dynamics and the glycaemic regulation. A subcutaneous glucose measuring system together with a Lispro insulin subcutaneous pump were used to gather clinical data for each patient undergoing treatment, and a corresponding in silico and ad hoc neural network model was derived for each patient to represent their particular glucose-insulin relationship. Based on this nonlinear neural network model, an ad hoc neural network controller was designed to close the feedback loop for glycaemic regulation of the in silico patient. Both the neural network model and the controller were tested for each patient under simulation, and the results obtained show a good performance during food intake and variable exercise conditions.

Dermatitis perianal estreptocócica / Perianal streptococcal dermatitis

La dermatitis perianal estreptocócica es una entidad bien definida. Se caracteriza por eritema de límites precisos, prurito, dolor rectal y heces teñidas de sangre, en ausencia de síntomas generales. Afecta fundamentalmente a niños entre los 6 meses y los 10 años. A menudo es subestimada y tratada inapropiadamente. Presentamos tres casos; creemos de interés su comunicación por su relativa escasa frecuencia y su diagnostico tardío, posiblemente en relación con un bajo índice de sospecha. En dos pacientes se asoció con balanopostitis, circunstancia que podía hacer sospechar abuso sexual

Perianal streptococcal dermatitis is a well-described entity, typically presenting as a perianal rash accompanied by perianal itching, pain, and/or rectal bleeding. It primarily occurs in children between six months and 10 years of age, and is often misdiagnosed and treated inappropriately. We describe three cases of perianal streptococcal dermatitis in which group A beta-hemolytic streptococcus was isolated from the perianal area. This communication is of, great interest, we believe, because of its relative little frequency, its delayed diagnostic, possibly in relation to a low level suspicion, along with the association in two of the cases with balanopostitis, circumstance that could arise the suspicion of abuse