COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.
Machine learning models estimated the probability of developing sepsis in children admitted to the emergency department.
Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Background Tobacco use among United States (US) youth and young adults has declined from historic levels, but cannabis use ...
Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...
Background Blood culture (BC) in children has relatively low diagnostic yield and high contamination rates, limiting ...
Background Smoke-free and aerosol-free households (SAFHs) reduce exposure to secondhand smoke and aerosol and support ...
Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...
Early broadly neutralising antibody responses against the E1E2 glycoprotein seem to be important for preventing persistence ...
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