Recent insights in the epidemiology of autoimmune diseases: Improved prevalence estimates and understanding of clustering of diseases

流行病学 聚类分析 数据科学 医学 计算机科学 病理 人工智能
作者
Glinda S. Cooper,Milele L.K. Bynum,Emily C. Somers
出处
期刊:Journal of Autoimmunity [Elsevier]
卷期号:33 (3-4): 197-207 被引量:649
标识
DOI:10.1016/j.jaut.2009.09.008
摘要

Previous studies have estimated a prevalence of a broad grouping of autoimmune diseases of 3.2%, based on literature review of studies published between 1965 and 1995, and 5.3%, based on national hospitalization registry data in Denmark. We examine more recent studies pertaining to the prevalence of 29 autoimmune diseases, and use these data to correct for the underascertainment of some diseases in the hospitalization registry data. This analysis results in an estimated prevalence of 7.6-9.4%, depending on the size of the correction factor used. The rates for most diseases for which data are available from many geographic regions span overlapping ranges. We also review studies of the co-occurrence of diseases within individuals and within families, focusing on specific pairs of diseases to better distinguish patterns that may result in insights pertaining to shared etiological pathways. Overall, data support a tendency for autoimmune diseases to co-occur at greater than expected rates within proband patients and their families, but this does not appear to be a uniform phenomenon across all diseases. Multiple sclerosis and rheumatoid arthritis is one disease pair that appears to have a decreased chance of coexistence.

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