ACC/NC Chapter Grant to Reduce Cardiovascular Health Disparities in North Carolina
Leveraging Artificial Intelligence to Prevent Disparities in Percutaneous Coronary Interventional Outcomes in a Diverse, High-Risk North Carolina County (Robeson Co.)
Scott Denardo, MD,1,2 Lin Wang, PhD3, Zegin Gao, MS,3 Brett Meyers, PhD4, Pavlos Vlachos, PhD4,5, James Tcheng, MD6,
In 2022, the NC Chapter awarded a grant to FirstHealth of Carolinas (Regional/Rural Services) to fund the project submitted by Scott Denardo, MD, FACC, entitled, “Leveraging Artificial Intelligence to Prevent Disparities in Percutaneous Coronary Interventional Outcomes in a Diverse, High-Risk North Carolina County”.
Disparities in cardiovascular care and outcomes occur in different sub-discipline patient populations, including interventional. However, actions to address these disparities are limited. Historically, general medical and particularly cardiovascular outcomes in Robeson Co., NC, have ranked very poorly in the state of North Carolina. We critically assessed the outcomes of 481 consecutive urgent PCI patients from Robeson Co. during the surveillance period of 12/2011-06/2017. Based upon the social determinates of race, marital and socioeconomic status, the sole consistent disparities in various outcomes at the time points of 72h, 30d and 180d were somewhat surprisingly in favor of economically disadvantaged patients; no other consistent disparities were identified. Moreover, application of machine learning resulted in development of an R-Package software program to predict adverse outcomes:
INPUT:
OUTPUT:
Pursuit of further studies using a much larger sample size (ideally N≥4000) should provide a more critical assessment in disparities and more robust modelling leading to a more robust and useful R Package.
1. Duke Cardiology and Cardiovascular Surgery of Lumberton
2. FirstHealth of Carolinas Cardiovascular Services
3. Purdue University Department of Statistics
4. Purdue University School of Mechanical Engineering
5. Purdue University Regenstrief Center for Healthcare Engineering
6. Duke University Medical Center
7. Duke Clinical Research Institute.