The association of timing of disease-modifying drug initiation and relapse in patients with multiple sclerosis using electronic health records

2017 ◽  
Vol 33 (6) ◽  
pp. 1127-1132 ◽  
Author(s):  
Frank A. Corvino ◽  
David Oliveri ◽  
Amy L. Phillips
Keyword(s):  
Multiple Sclerosis ◽  
Electronic Health Records ◽  
Health Records ◽  
Disease Modifying ◽  
Electronic Health

scholarly journals Leveraging electronic health records data to predict multiple sclerosis disease activity

2021 ◽  
Vol 8 (4) ◽  
pp. 800-810
Author(s):  
Yuri Ahuja ◽  
Nicole Kim ◽  
Liang Liang ◽  
Tianrun Cai ◽  
Kumar Dahal ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Electronic Health Records ◽  
Disease Activity ◽  
Health Records ◽  
Multiple Sclerosis Disease ◽  
Electronic Health

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

2019 ◽  
Vol 26 (14) ◽  
pp. 1948-1952 ◽  
Author(s):  
Farren BS Briggs ◽  
Eddie Hill
Keyword(s):  
Multiple Sclerosis ◽  
Electronic Health Records ◽  
Census Data ◽  
Black Americans ◽  
The United States ◽  
Health Claims ◽  
Health Records ◽  
Black Race ◽  
Electronic Health ◽  
Age And Sex

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.

scholarly journals Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e78927 ◽  
Author(s):  
Zongqi Xia ◽  
Elizabeth Secor ◽  
Lori B. Chibnik ◽  
Riley M. Bove ◽  
Suchun Cheng ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Electronic Health Records ◽  
Disease Severity ◽  
Health Records ◽  
Electronic Health
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