Research Keyword: diagnostic algorithms

mGem: Sepsis and antimicrobial resistance in the context of advanced HIV disease

This review examines how serious infections (sepsis) from bacteria and fungi affect people with advanced HIV disease, particularly in hospitals. The infections have become more dangerous due to antimicrobial resistance, and many cases go undiagnosed because of limited laboratory capabilities. The paper calls for better diagnostic tools and treatment strategies tailored to resource-limited settings where most advanced HIV disease cases occur.

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The Prognostic Value of (1→3)-β-D-Glucan in COVID-19 Patients with and Without Secondary Fungal Disease

During COVID-19, patients in intensive care sometimes develop dangerous fungal infections. Doctors use a blood test to measure a fungal marker called BDG to help diagnose these infections. This study found that even without confirmed fungal infection, high BDG levels predicted who would not survive, but giving antifungal medications improved survival even without proven infection.

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