Estimation of prevalence of autoimmune diseases in the United States using electronic health record data

BACKGROUNDPrevious epidemiologic studies of autoimmune diseases in the US have included a limited number of diseases or used metaanalyses that rely on different data collection methods and analyses for each disease.METHODSTo estimate the prevalence of autoimmune diseases in the US, we used electronic health record data from 6 large medical systems in the US. We developed a software program using common methodology to compute the estimated prevalence of autoimmune diseases alone and in aggregate that can be readily used by other investigators to replicate or modify the analysis over time.RESULTSOur findings indicate that over 15 million people, or 4.6% of the US population, have been diagnosed with at least 1 autoimmune disease from January 1, 2011, to June 1, 2022, and 34% of those are diagnosed with more than 1 autoimmune disease. As expected, females (63% of those with autoimmune disease) were almost twice as likely as males to be diagnosed with an autoimmune disease. We identified the top 20 autoimmune diseases based on prevalence and according to sex and age.CONCLUSIONHere, we provide, for what we believe to be the first time, a large-scale prevalence estimate of autoimmune disease in the US by sex and age.FUNDINGAutoimmune Registry Inc., the National Heart Lung and Blood Institute, the National Center for Advancing Translational Sciences, the Intramural Research Program of the National Institute of Environmental Health Sciences.

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Publication Details

Journal
Journal of Clinical Investigation
Published
2024-12-12
DOI
https://doi.org/10.1172/jci178722
Citations
35
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
19.26

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article

Estimation of prevalence of autoimmune diseases in the United States using electronic health record data

Neil Bahroos, Mark G. Weiner, George C. Tsokos, Aaron Abend et al.
35 citations
Journal of Clinical Investigation
Diabetes and associated disorders
19.26
article

Estimation of prevalence of autoimmune diseases in the United States using electronic health record data

Neil Bahroos, Mark G. Weiner, George C. Tsokos, Aaron Abend, Leanna Wise, M. Abajian, Kristen I. Osinski, Chris Ortman, Gloria Lipori, Frederick W. Miller, Albert M. Lai, Jacob S. Zelko, Bradley Taylor, Christopher Herrick, Heather Davis, Philip Payne, Xing He, Stratos Christianakis, DeLisa Fairweather, Jagannadha Avasarala, Damian Nicolas Di Florio, Shawn N. Murphy, Asher A Hoberg, Ashley B. Crew, Noel R. Rose, Erica Matute-Arcos, Ingrid He, Amit D. Gode
article en
35 citations

Abstract

BACKGROUNDPrevious epidemiologic studies of autoimmune diseases in the US have included a limited number of diseases or used metaanalyses that rely on different data collection methods and analyses for each disease.METHODSTo estimate the prevalence of autoimmune diseases in the US, we used electronic health record data from 6 large medical systems in the US. We developed a software program using common methodology to compute the estimated prevalence of autoimmune diseases alone and in aggregate that can be readily used by other investigators to replicate or modify the analysis over time.RESULTSOur findings indicate that over 15 million people, or 4.6% of the US population, have been diagnosed with at least 1 autoimmune disease from January 1, 2011, to June 1, 2022, and 34% of those are diagnosed with more than 1 autoimmune disease. As expected, females (63% of those with autoimmune disease) were almost twice as likely as males to be diagnosed with an autoimmune disease. We identified the top 20 autoimmune diseases based on prevalence and according to sex and age.CONCLUSIONHere, we provide, for what we believe to be the first time, a large-scale prevalence estimate of autoimmune disease in the US by sex and age.FUNDINGAutoimmune Registry Inc., the National Heart Lung and Blood Institute, the National Center for Advancing Translational Sciences, the Intramural Research Program of the National Institute of Environmental Health Sciences.

Journal of Clinical InvestigationVol. 135(4)
Boston University (US), University of Southern California (US), University of Iowa (US), Political Research Associates (US), National Institutes of Health (US), Georgia Institute of Technology (US), Beth Israel Deaconess Medical Center (US), Mayo Clinic (US), Harvard University (US), University of Kentucky (US), Medical College of Wisconsin (US), Washington University in St. Louis (US), Cornell University (US), University of Florida Health (US), Jacksonville College (US), WinnMed (US), Massachusetts General Hospital (US), National Institute of Environmental Health Sciences (US), Autoimmune Technologies (United States) (US), Center for Translational Molecular Medicine (NL), Institute of Population and Public Health (CA), Mayo Clinic in Florida (US), Weill Cornell Medicine (US), Georgia Tech Research Institute, Mass General Brigham (US)
Massachusetts General Hospital, University of Southern California, National Institutes of Health, National Institute of Environmental Health Sciences, National Center for Advancing Translational Sciences
Good health and well-being
Openalex Percentile: Top 0%
Diabetes and associated disorders
19.26
DOIOpen Access PDFOpenAlex
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