Research Projects Directory

Research Projects Directory

1,014 active projects

This information was updated 1/22/2022

Information about each project within the Researcher Workbench is available in the Research Projects Directory below. Approved researchers provide their project’s research purpose, description, populations of interest, and more. This information helps All of Us ensure transparency on the type of research being conducted.

At this time, all listed projects are using data in the Registered Tier. The Registered Tier contains individual-level data from electronic health records, surveys, physical measurements, and wearables. Personal identifiers have been removed from these data to protect participant privacy.

Note: Researcher Workbench users provide information about their research projects independently. Views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program. Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

1 project has 'Cardiovascular Risk Prediction' in the project title
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Cardiovascular Risk Prediction

Cardiovascular disease risk is an important determinant of how we treat patients. Preventive medications can reduce future risk, but they are associated with both financial and biological side-effects. Previous methods of predicting risk, notably the Pooled Cohort Equation (PCE), tend…

Scientific Questions Being Studied

Cardiovascular disease risk is an important determinant of how we treat patients. Preventive medications can reduce future risk, but they are associated with both financial and biological side-effects. Previous methods of predicting risk, notably the Pooled Cohort Equation (PCE), tend to perform worse in racial and ethnic minorities than in populations from European ancestry. As such, we plan to evaluate the accuracy of cardiovascular risk prediction in the diverse cohort of the All of Us study, and determine which if any variables might aid in refining risk in racial and ethnic minorities.

Project Purpose(s)

  • Disease Focused Research (arteriosclerotic cardiovascular disease)
  • Population Health

Scientific Approaches

Atherosclerotic cardiovascular disease (ASCVD) is defined by the American College of Cardiology and American Heart Association (ACC/AHA) includes stroke, transient ischemic attack (TIA), documented coronary artery disease (CAD) with stable angina, acute coronary syndromes (ACS), coronary or other arterial revascularization, peripheral vascular disease with or without claudication, and aortic aneurysm. In clinical practice, physicians will also include asymptomatic CAD (meaning, without angina) with demonstrable ischemia on a stress test.

We plan to utilize data from adults greater than 18 years of age in the All of Us Research study who are free of ASCVD, and have complete data for inputs in the Pooled Cohort Equation (age, gender, race, cholesterol levels, blood pressure (BP), BP medications, diabetes status, and smoking status).

We propose to then use the PCE to assess accuracy of risk prediction in the multi-ethnic All of Us cohort.

Anticipated Findings

The anticipated findings are that the PCE will not perform equally across all racial and ethnic categories. This will provide an opportunity for further refinement of risk-prediction algorithms using commonly collected clinical information.

An improved risk prediction algorithm would improve our ability to target the most needed preventive therapies to those at greatest risk of future events, and minimize harms from unnecessary therapies.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Sarah Urbut - Research Fellow, The Broad Institute
  • Mark Trinder - Graduate Trainee, The Broad Institute
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You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.