Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in Minority Subgroups (SURPASS) Study

Description

Despite advances in technology, cardiovascular disease (CVD) remains the leading cause of death, disability, and healthcare costs in the U.S. Yet, there is a tremendous gap in accurate cardiovascular risk prediction and prevention, particularly in racial/ethnic minorities.

The overall goal of this study is to address gaps in knowledge about CVD prediction and treatment in understudied racial/ethnic minority populations. The study will utilize the electronic health record data from the CASPER study, an established NHLBI-funded cohort enriched with disaggregated Hispanic and Asian patients.

PI is Fatima Rodriguez, M.D., MPH, Division of Cardiovascular Medicine, Department of Medicine, Stanford University. Research Scientist Development Award (K01).

Site PI is Jiang Li, Ph.D.

Principal Investigator

External PI, Principal Investigator, Jiang Li, Ph.D., MPH

Funder

National Institute of Health National Heart, Lung, and Blood Institute, Robert Wood Johnson Foundation/American Heart Association Faculty Development Award Program

Research Topics

Related Studies

COVID-19 Impacts on Cancer Care Management, Patient Experience and Care Costs

Project goals: To understand impacts of COVID-19 on cancer care management (detection, diagnosis, treatment), pt-reported experience, and cancer care costs.

Investigators: Su-Ying Liang, Ph.D., Monique de Bruin, M.D., MPH, Cheryl Stults, Ph.D.

COVID-19 Universal Registry for Vital Evaluations (CURVE) Project

To create a COVID-19 Universal Registry for Vital Evaluations (CURVE) database, a semi-real-time registry of Sutter Health patients with COVID-19 infection.

Investigator: Jiang Li, Ph.D., MPH

Impact of COVID-19 on Cancer Care Management

Study will enhance understanding of cancer care management due to COVID-19.

Investigators: Monique de Bruin, M.D., MPH, Su-Ying Liang, Ph.D.

Improving Cancer Care

Project will provide information about referrals to palliative care and way to enhance goals of care discussions for patients diagnosed with stage IV cancer.

Investigators: Su-Ying Liang, Ph.D., Ellis C. Dillon, Ph.D.

Major Depressive Disorder

Purpose is to use EHR to understand the management of major depressive disorder in a large healthcare system, to incorporate pt-reported data in care workflow.

Investigators: Kristen M.J. Azar, R.N., BSN, MSN/MPH, Alice R. Pressman, Ph.D., M.S.

Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care

Develop and test predictive model identifying emerging sepsis using artificial intelligence, and translate learnings into improved operational criteria.

Investigators: Sylvia Sudat, PhD, Alice R. Pressman, Ph.D., M.S.

Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care

Create a longitudinal proof-of-concept MS research database (MSClinQ) that can support clinical queries, and can be updated with new tx, dx tools, care options

Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA

Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).

Randomized trial to explore two behavioral economic intervention--changing opioid Rx default and providing social comparison feedback to MDs on opioid pills Rx.

Investigator: Xiaowei (Sherry) Yan, PhD, MS

Stupski Serious Illness Program Evaluation

Evaluate palliative care projects at seven healthcare organizations in the SF Bay Area.

Investigators: Sylvia Sudat, PhD, Ellis C. Dillon, Ph.D.

The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity

Using EHR from a large healthcare system in Northern CA, we will study the impact of smoking, comorbidities, race on COVID-19 infection and disease severity.