Darien Hinson

Graduate Trainee, Baylor College of Medicine

1 active project

Dermatologic Disease Prevalence

Alopecia areata (AA) is an autoimmune disease typically characterized by asymptomatic well-circumscribed patches of hair loss on the scalp or face. Recent work has shown that atopic disease appears to be more prevalent in Black patients than previous homogenous studies…

Scientific Questions Being Studied

Alopecia areata (AA) is an autoimmune disease typically characterized by asymptomatic well-circumscribed patches of hair loss on the scalp or face. Recent work has shown that atopic disease appears to be more prevalent in Black patients than previous homogenous studies [PMID: 35104584] Here, we seek to further investigate the association of AA with atopic and autoimmune disease by performing a nested case-control study in the All of Us database, a recently launched initiative by the National Institutes Health that aims to provide health data on over 1 million Americans. All of Us includes communities that have been historically underrepresented in research (e.g. gender/sexual minorities, rural populations, social/ethnic minorities, etc.) to allow for a more generalizable understanding of disease data [PMID: 31412182].

Project Purpose(s)

  • Control Set

Scientific Approaches

We will extract AA cases using ICD-9-CM code 704.01 and ICD-10-CM code L63. Each AA case will be matched to four age-, ethnicity-, race-, and sex-matched controls. Data on co-morbidities will collected through electronic medical record searching. We will compute odds ratios with 95% confidence intervals.

Anticipated Findings

Here, we seek to further investigate the association of AA with atopic and autoimmune disease by performing a nested case-control study in the All of Us database, a recently launched initiative by the National Institutes Health that aims to provide health data on over 1 million Americans. All of Us includes communities that have been historically underrepresented in research (e.g. gender/sexual minorities, rural populations, social/ethnic minorities, etc.) to allow for a more generalizable understanding of disease data [PMID: 31412182].

Demographic Categories of Interest

  • Race / Ethnicity
  • Age

Data Set Used

Registered Tier

Research Team

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