Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system

Autor: Wei, Qi, Mease, Philip J, Chiorean, Michael, Iles-Shih, Lulu, Matos, Wanessa F, Baumgartner, Andrew, Molani, Sevda, Hwang, Yeon Mi, Belhu, Basazin, Ralevski, Alexandra, Hadlock, Jennifer
Zdroj: The Lancet Digital Health; May 2024, Vol. 6 Issue: 5 pe309-e322, 14p
Abstrakt: In the context of immune-mediated inflammatory diseases (IMIDs), COVID-19 outcomes are incompletely understood and vary considerably depending on the patient population studied. We aimed to analyse severe COVID-19 outcomes and to investigate the effects of the pandemic time period and the risks associated with individual IMIDs, classes of immunomodulatory medications (IMMs), chronic comorbidities, and COVID-19 vaccination status.
Databáze: Supplemental Index