Publications by authors named "Greta Maria Giacomini"

Article Synopsis
  • The study focuses on understanding the varied prognosis of COVID-19 by identifying clinical and laboratory indicators that can predict poor outcomes in hospitalized patients.
  • Researchers analyzed data from 664 COVID-19 patients in Northern Italy, discovering that factors like red cell distribution width (RDW), neutrophil-to-lymphocyte (NL) ratio, and platelet count are significant predictors of in-hospital mortality.
  • The results suggest that using simple blood tests could help in classifying the severity of COVID-19, ultimately guiding treatment and monitoring strategies for better patient management.
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Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods.

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The severity of fatty liver at ultrasound has been associated with QT length, a finding invoked to explain the excess cardiovascular risk of patients with fatty liver. However, the ability of ultrasound to stage accurately the severity of fatty liver is limited, with fibrosis a major confounder. Here, we aimed to verify the alleged relationship between fat liver content and QT length using a technique apt at discriminating steatosis from fibrosis noninvasively, i.

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