Evan Brittain

Mid-career Tenured Researcher, Vanderbilt University Medical Center

2 active projects

Wearables Data and the Human Phenome

Our primary goal is to understand the interaction between activity levels and sleep quality with the development and progression of human disease. Higher physical activity is associated with lower prevalence and better outcomes in virtually every human disease. These analyses…

Scientific Questions Being Studied

Our primary goal is to understand the interaction between activity levels and sleep quality with the development and progression of human disease. Higher physical activity is associated with lower prevalence and better outcomes in virtually every human disease. These analyses will generate hypotheses guiding clinical and research interventions focused on activity and sleep to reduce morbidity and mortality in patients seeking care.

Project Purpose(s)

  • Population Health
  • Social / Behavioral

Scientific Approaches

We will examine the relationship between daily activity (steps, activity intensity) over time and the prevalence and progression of coded human diseases. We will use the Fitbit data, EHR-curated diagnoses, laboratory values, quality of life survey results, and clinical outcomes (hospitalizations/mortality).

Anticipated Findings

We expect to find that lower levels of activity are associated with a higher prevalence and more rapid progression of chronic diseases. These data will provide the rationale to link wearables data with electronic health records nationwide as a window into behavioral activity choice as a modifiable risk factor for chronic diseases. We may find substantial variation in activity and disease prevalence/severity by socioeconomic status, which would motivate studies/interventions to reduce these health disparities.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Shi Huang - Other, Vanderbilt University Medical Center
  • Hiral Master - Project Personnel, All of Us Program Operational Use
  • Evan Brittain - Mid-career Tenured Researcher, Vanderbilt University Medical Center
  • Jeffrey Annis - Other, Vanderbilt University Medical Center

Pulmonary Hypertension in All of Us

Our primary purpose at this stage is to test whether we can reliably identify patients with pulmonary hypertension in the All of Us resource. We have developed and internally validated a machine learning algorithm to identify patients with pulmonary hypertension…

Scientific Questions Being Studied

Our primary purpose at this stage is to test whether we can reliably identify patients with pulmonary hypertension in the All of Us resource. We have developed and internally validated a machine learning algorithm to identify patients with pulmonary hypertension using administrative data. We first want to test the performance of that algorithm in All of Us. If the performance is satisfactory, we will then begin addressing research questions centered around the epidemiology and outcomes of patients with pulmonary hypertension. We will examine the geographic distributions, trends in the diagnosis over time, hospitalization and mortality rates, medication use, and medication exposures that may suggest drug-induced PH.

Project Purpose(s)

  • Disease Focused Research (pulmonary hypertension)

Scientific Approaches

We will use ICD and CPT codes, and medications exposures to test our machine learning algorithm. If the algorithm performs well, we will then use basic demographics, medications, and outcomes data to study the epidemiology of pulmonary hypertension in All of Us.

Anticipated Findings

We anticipate that our study will provide a contemporary "real world" view of pulmonary hypertension patients in the United States. This is important and new because most epidemiological studies of pulmonary hypertension in the United States to date derive from either single centers or registries that enroll patients from select centers.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Evan Brittain - Mid-career Tenured Researcher, Vanderbilt University Medical Center
  • Jeffrey Annis - Other, Vanderbilt University Medical Center

Collaborators:

  • Shi Huang - Other, Vanderbilt University Medical Center
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