Open AccessSevere infections remain common in a real-world rheumatoid arthritis cohort: A simple clinical model to predict infection risk
Author(s) -
Dorothy Wang,
Ai Li Yeo,
Claire Dendle,
S. Morton,
Eric Morand,
Michelle Leech
Publication year - 2021
Publication title -
european journal of rheumatology
Language(s) - English
Resource type - Journals
eISSN - 2147-9720
pISSN - 2148-4279
DOI - 10.5152/eurjrheum.2020.20172
Subject(s) - medicine , comorbidity , rheumatoid arthritis , odds ratio , confidence interval , incidence (geometry) , charlson comorbidity index , logistic regression , receiver operating characteristic , medical record , retrospective cohort study , cohort , physics , optics
This study aimed to investigate the incidence of severe infections in patients of a dedicated rheumatoid arthritis (RA) clinic, identify the associated risk factors, and derive an infection risk screening tool.