Objective: This study aims to build a multistate model and describe a predictive tool for estimating the daily number of intensive care unit (ICU) and hospital beds occupied by patients with coronavirus 2019 disease (COVID-19).
Material And Methods: The estimation is based on the simulation of patient trajectories using a multistate model where the transition probabilities between states are estimated via competing risks and cure models. The input to the tool includes the dates of COVID-19 diagnosis, admission to hospital, admission to ICU, discharge from ICU and discharge from hospital or death of positive cases from a selected initial date to the current moment.
Background And Aims: Patients undergoing upper endoscopy have often used proton pump inhibitors (PPI) and/or antibiotics (ABx) recently. Both drugs have been associated with a poorer yield of the Helicobacter pylori (H. pylori) diagnostic tests.
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