Literature DB >> 31339444

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

Farren Bs Briggs1, Eddie Hill2.   

Abstract

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.

Entities:  

Keywords:  multiple sclerosis; prevalence

Year:  2019        PMID: 31339444     DOI: 10.1177/1352458519864681

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  7 in total

1.  Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis.

Authors:  Ivan Coronado; Refaat E Gabr; Ponnada A Narayana
Journal:  Mult Scler       Date:  2020-05-22       Impact factor: 6.312

2.  Predicting onset of secondary-progressive multiple sclerosis using genetic and non-genetic factors.

Authors:  Elina Misicka; Corriene Sept; Farren B S Briggs
Journal:  J Neurol       Date:  2020-04-24       Impact factor: 4.849

3.  Racial disparities in hypertension management among multiple sclerosis patients.

Authors:  Devon S Conway; Farren Bs Briggs; Ellen M Mowry; Kathryn C Fitzgerald; Carrie M Hersh
Journal:  Mult Scler Relat Disord       Date:  2022-06-15       Impact factor: 4.808

Review 4.  Multiple Sclerosis: Systemic Challenges to Cost-Effective Care.

Authors:  David R Weinstein; Gary M Owens; Ankit Gandhi
Journal:  Am Health Drug Benefits       Date:  2022-03

5.  Adverse childhood experiences predict reaction to multiple sclerosis diagnosis.

Authors:  Tehila Eilam-Stock; Jon Links; Nabil Z Khan; Tamar E Bacon; Guadalupe Zuniga; Lisa Laing; Carrie Sammarco; Kathleen Sherman; Leigh Charvet
Journal:  Health Psychol Open       Date:  2021-10-21

Review 6.  Potential application of hydrogel to the diagnosis and treatment of multiple sclerosis.

Authors:  Haochuan Liu; Bing Chen; Qingsan Zhu
Journal:  J Biol Eng       Date:  2022-04-08       Impact factor: 4.355

7.  Racial and Ethnic Disparities in Multiple Sclerosis Prevalence.

Authors:  Annette M Langer-Gould; Edlin Grisell Gonzales; Jessica B Smith; Bonnie H Li; Lorene M Nelson
Journal:  Neurology       Date:  2022-05-03       Impact factor: 11.800

  7 in total

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