Estimating the prevalence of multiple sclerosis using 56.6 million electronic health records from the United States

被引：26
|
作者：
Briggs, Farren B. S. [1 ]
Hill, Eddie [1 ,2 ]
机构：
[1] Case Western Reserve Univ, Neuroimmunol Disorders Gene Environm Epidemiol La, Dept Populat & Quantitat Hlth Sci, Sch Med, 1312 Wolstein Res Bldg,2103 Cornell Rd, Cleveland, OH 44106 USA
[2] Case Western Reserve Univ, Sch Med, Cleveland, OH 44106 USA
来源：
MULTIPLE SCLEROSIS JOURNAL | 2020年 / 26卷 / 14期
关键词：
multiple sclerosis; prevalence; RACE;
D O I：
10.1177/1352458519864681
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
Background/objective: In 2019, the 2010 U.S. multiple sclerosis (MS) prevalence was robustly estimated (265.1-309.2/100,000) based on large administrative health-claims datasets. Using 56.6 million electronic health records (EHRs), we sought to generate complementary age, sex, and race standardized estimates. Methods/results: Using de-identified EHRs and 2018 U.S. Census data, we estimated an age- and sex-standardized MS prevalence of 219.5/100,000 which increased to 274.5/100,000 when accounting for White and Black race alone. Women aged 50 to 69 years had the highest prevalence (>600/100,000). Among White and Black Americans, the age- and sex-standardized prevalence was 283.7 and 226.1 per 100,000, respectively. Conclusion: Using 56.6 million EHRs and standardizing for age, sex, and race (White and Black Americans only), we estimated at least 810,504 Americans were living with MS in 2018.
引用
收藏
页码：1948 / 1952
页数：5
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