Fatal Hemoptysis due to Chronic Cavitary Pulmonary Aspergillosis Complicated by Nontuberculous Mycobacterial Tuberculosis

A 51-year-old man, with a history of severe COPD and bilateral pneumothorax, who was under treatment for pulmonary tuberculosis due to mycobacterium avium, was admitted due to high-grade fever, weight loss, cough, and production of purulent sputum, for almost one month without any special improvement despite adequate antibiotics treatment in outpatient setting. A CT scan revealed multiple consolidations, fibrosis, scaring, and cavitary lesions in both upper lobes with newly shadows which were fungus balls inside them. Aspergillus flavius was isolated in three sputum samples, a diagnosis of chronic cavitary pulmonary aspergillosis was made, and treatment with intravenous amphotericin B was started. An initially clinical improvement was noted, and a first episode of minor hemoptysis was treated with conservative measures. Unfortunately a second major episode of hemoptysis occurred and he died almost immediately. Aspergilloma is defined as the presence of a fungus ball inside a preexisting pulmonary cavity or dilated airway and is one of the clinical conditions associated with the clinical spectrum of pulmonary colonization. Tuberculosis is the most common underling disease. Hemoptysis is the most common symptom. Antifungal antibiotics, surgical interventions, bronchial arteries embolization, and intracavity infusion of antibiotics have been proposed without always adequate sufficiency

Multiple lung abscesses due to acinetobacter infection: a case report

Acinetobacter species are well-known causes of nosocomial infections. Recent increasing evidence emphasize on the role of these pathogens in community-acquired infections

Fuzzy automata and decision processes /

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Source Space Analysis of Event-Related Dynamic Reorganization of Brain Networks

How the brain works is nowadays synonymous with how different parts of the brain work together and the derivation of mathematical descriptions for the functional connectivity patterns that can be objectively derived from data of different neuroimaging techniques. In most cases static networks are studied, often relying on resting state recordings. Here, we present a quantitative study of dynamic reconfiguration of connectivity for event-related experiments. Our motivation is the development of a methodology that can be used for personalized monitoring of brain activity. In line with this motivation, we use data with visual stimuli from a typical subject that participated in different experiments that were previously analyzed with traditional methods. The earlier studies identified well-defined changes in specific brain areas at specific latencies related to attention, properties of stimuli, and tasks demands. Using a recently introduced methodology, we track the event-related changes in network organization, at source space level, thus providing a more global and complete view of the stages of processing associated with the regional changes in activity. The results suggest the time evolving modularity as an additional brain code that is accessible with noninvasive means and hence available for personalized monitoring and clinical applications