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Quantifying the Prevalence of Autoimmune Diseases in the United States (309887)*Gagana Borra, Center for Population Health Informatics at Washington University School of Medicine
Randi Foraker, Center for Population Health Informatics at Washington University School of Medicine
Joshua Landman, Center for Population Health Informatics at Washington University School of Medicine
Keywords: Public Health, Population Health, Health Informatics
The prevalence for many autoimmune diseases in the United States (US) remains outdated or unknown. By using recent electronic health record data, we can estimate the prevalence of autoimmune diseases in the current population and understand which diseases are most common. By quantifying prevalence rates for the top ten most prevalent autoimmune diseases in the United States, we can guide physicians in providing a faster diagnosis to patients with an autoimmune disease. We conducted a literature review to characterize the prevalence of over 160 autoimmune diseases and establish a baseline. We then identified the top ten most prevalent autoimmune diseases which are: rheumatoid arthritis, psoriasis, lichen sclerosus, celiac disease, polymyalgia rheumatica, interstitial cystitis, ulcerative colitis, urticaria, multiple sclerosis, and microscopic colitis. Using R statistical software, we age-standardized these rates to the US population and described the demographic distributions for all 106 autoimmune diseases in the Barnes Jewish Hospital’s electronic health record data from 2010 to 2019 (n=19,336). We estimated the period prevalence rate as cases per 100,000 persons. The top ten prevalent conditions primarily affected Black and White individuals and women were more likely to be diagnosed than men.