Introduction: Optimized allocation of medical resources to patients with COVID-19 has been a critical concern since the onset of the pandemic.
Methods: In this retrospective cohort study, the authors used data from a Brazilian tertiary university hospital to explore predictors of Intensive Care Unit (ICU) admission and hospital mortality in patients admitted for COVID-19. Our primary aim was to create and validate prediction scores for use in hospitals and emergency departments to aid clinical decisions and resource allocation.
Background: COVID-19 caused more than 622 thousand deaths in Brazil. The infection can be asymptomatic and cause mild symptoms, but it also can evolve into a severe disease and lead to death. It is difficult to predict which patients will develop severe disease.
View Article and Find Full Text PDFJ Clin Microbiol
January 2013
The profiles of 61 Candida tropicalis isolates from 43 patients (28 adults and 15 children) diagnosed with candidemia at two teaching hospitals in São Paulo, Brazil, were characterized by multilocus sequence typing (MLST). For the 14 patients who had bloodstream infections, 32 isolates were serially collected from their blood and/or catheters. Thirty-nine diploid sequence types (DSTs) were differentiated.
View Article and Find Full Text PDFParacoccidioidomycosis is a systemic mycosis with a geographic distribution that is limited to Central and South America; Brazil has the highest number of cases. Severe disseminated disease caused by paracoccidioidomycosis was observed in acquired immunodeficiency syndrome patients who live or have resided in endemic paracoccidioidomycosis areas. Here we describe a male patient admitted to a large public hospital with diffuse nodular infiltrates observed in chest radiographs and with erosion at the second rib near the sternum.
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