Researchers conducted a study to determine the accuracy of a novel 29-messenger RNA blood-based host-response assay for identifying bacterial and viral infections in patients admitted to the emergency department.
Sepsis and septic shock are common oncologic emergencies that require vigilant, timely diagnosis and intervention. Timely and effective detection and treatment of these conditions are key to patient survival.
The researchers’ objective was to determine whether machine learning-derived estimated individual corticosteroid therapy effect yields better results than treat all or treat no one strategies in adult patients with septic shock.
Study authors explored the clinical features and outcomes of mixed Candida albicans/bacterial bloodstream infections compared with monomicrobial Candida albicans bloodstream infections in adult patients.