Meagan Carney, Tiana Maria Pelaia, Tracy Chew, Sally Teoh, Amy Phu, Karan Kim, Ya Wang, Jonathan Iredell, Yoann Zerbib, Anthony McLean, Klaus Schughart, Benjamin Tang, Maryam Shojaei, Kirsty R Short
BACKGROUND: Viral respiratory tract infections are frequently complicated by secondary bacterial infections. This study aimed to use machine learning to predict the risk of bacterial superinfection in SARS-CoV-2-positive individuals. METHODS: In this prospective, multicentre, observational cohort study done in nine centres in six countries (Australia, Indonesia, Singapore, Italy, Czechia, and France) blood samples and RNA sequencing were used to develop a robust model of predicting secondary bacterial infections in the respiratory tract of patients with COVID-19...
January 30, 2024: The Lancet. Microbe