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

IF 13.3 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Aaron H Abend, Ingrid He, Neil Bahroos, Stratos Christianakis, Ashley B Crew, Leanna M Wise, Gloria P Lipori, Xing He, Shawn N Murphy, Christopher D Herrick, Jagannadha Avasarala, Mark G Weiner, Jacob S Zelko, Erica Matute-Arcos, Mark Abajian, Philip Ro Payne, Albert M Lai, Heath A Davis, Asher A Hoberg, Chris E Ortman, Amit D Gode, Bradley W Taylor, Kristen I Osinski, Damian N Di Florio, Noel R Rose, Frederick W Miller, George C Tsokos, DeLisa Fairweather
{"title":"Estimation of prevalence of autoimmune diseases in the United States using electronic health record data.","authors":"Aaron H Abend, Ingrid He, Neil Bahroos, Stratos Christianakis, Ashley B Crew, Leanna M Wise, Gloria P Lipori, Xing He, Shawn N Murphy, Christopher D Herrick, Jagannadha Avasarala, Mark G Weiner, Jacob S Zelko, Erica Matute-Arcos, Mark Abajian, Philip Ro Payne, Albert M Lai, Heath A Davis, Asher A Hoberg, Chris E Ortman, Amit D Gode, Bradley W Taylor, Kristen I Osinski, Damian N Di Florio, Noel R Rose, Frederick W Miller, George C Tsokos, DeLisa Fairweather","doi":"10.1172/JCI178722","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":15469,"journal":{"name":"Journal of Clinical Investigation","volume":" ","pages":""},"PeriodicalIF":13.3000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11827834/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1172/JCI178722","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

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.

利用电子健康记录数据估计美国自身免疫性疾病的患病率。
背景:美国以前对自身免疫性疾病的流行病学研究只纳入了有限数量的疾病,或者使用了对每种疾病采用不同数据收集方法和分析的荟萃分析。方法:为了估计美国自身免疫性疾病的患病率,我们使用了美国六个大型医疗系统的电子健康记录数据。我们开发了一个软件程序,使用通用的方法来计算自身免疫性疾病单独和总体的估计患病率,其他研究人员可以很容易地使用它来重复或修改随时间的分析。结果:我们的研究结果表明,从2011年1月1日到2022年6月1日,超过1500万人(占美国人口的4.6%)被诊断患有至少一种自身免疫性疾病,其中34%的人被诊断患有一种以上的自身免疫性疾病。正如预期的那样,女性(63%的自身免疫性疾病患者)被诊断患有自身免疫性疾病的可能性几乎是男性的两倍。我们根据患病率、性别和年龄确定了前20种自身免疫性疾病。结论:因此,我们首次提供了美国按性别和年龄划分的自身免疫性疾病的大规模患病率估计。资助:自身免疫登记公司、国家心肺和血液研究所、国家促进转化科学中心、国家环境健康科学研究所的校内研究计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Clinical Investigation
Journal of Clinical Investigation 医学-医学:研究与实验
CiteScore
24.50
自引率
1.30%
发文量
1034
审稿时长
2 months
期刊介绍: The Journal of Clinical Investigation, established in 1924 by the ASCI, is a prestigious publication that focuses on breakthroughs in basic and clinical biomedical science, with the goal of advancing the field of medicine. With an impressive Impact Factor of 15.9 in 2022, it is recognized as one of the leading journals in the "Medicine, Research & Experimental" category of the Web of Science. The journal attracts a diverse readership from various medical disciplines and sectors. It publishes a wide range of research articles encompassing all biomedical specialties, including Autoimmunity, Gastroenterology, Immunology, Metabolism, Nephrology, Neuroscience, Oncology, Pulmonology, Vascular Biology, and many others. The Editorial Board consists of esteemed academic editors who possess extensive expertise in their respective fields. They are actively involved in research, ensuring the journal's high standards of publication and scientific rigor.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信