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-Reference-Cited by-同舟云学术

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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

Published:2024-05 Issue:5 Volume:6 Page:e309-e322
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

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

Funder

Pfizer Inc

NCATS

Novartis Pharmaceuticals Corporation

Janssen Scientific Affairs LLC

Publisher

Elsevier BV

Reference33 articles.

1. Clinical outcomes of COVID-19 in patients with rheumatic diseases: a systematic review and meta-analysis of global data;Xu;Autoimmun Rev,2021

2. Prevalence and risk of COVID-19 in patients with rheumatic diseases: a systematic review and meta-analysis;Wang;Clin Rheumatol,2022

3. A deep look into the storm: Israeli multi-center experience of coronavirus disease 2019 (COVID-19) in patients with autoimmune inflammatory rheumatic diseases before and after vaccinations;Kharouf;Front Immunol,2023

4. SARS-CoV-2 infection of airway cells causes intense viral and cell shedding, two spreading mechanisms affected by IL-13;Morrison;Proc Natl Acad Sci USA,2022

5. Incident myocardial infarction associated with major types of arthritis in the general population: a systematic review and meta-analysis;Schieir;Ann Rheum Dis,2017

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