id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-279483-gwikyux2	Wong, Joshua Guoxian	Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department	2020-11-02		.txt	text/plain	4297	247	43	title: Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department We aim to provide an evidence-based clinical decision support tool for antibiotic prescribing using prediction models developed from local data. From 2009 to 2010, adults had the highest rate of inappropriate antibiotic use for acute respiratory tract infections (URTIs, influenza, and viral pneumonia), with 500 antibiotic prescriptions per 1000 ED visits for adults aged 20-64 years and 666 per 1000 visits for those aged > = 65 years [10] . In this study, we aim to develop prediction models based on local clinical and laboratory data to guide antibiotic prescribing for adult patients with uncomplicated URTI with the ultimate goal of deploying them as an evidencebased clinical decision support tool for routine practice. Antibiotic prescribing for patients with upper respiratory tract infections by emergency physicians in a Singapore tertiary hospital	./cache/cord-279483-gwikyux2.txt	./txt/cord-279483-gwikyux2.txt