This study uses CT scans to visualize the heart and surrounding arteries to look for coronary artery disease. This study takes into account individuals body type including size, weight, and heart rate to tailor the CT scan and contrast media given to each patient. Taking into account each patients body will allow doctors to obtain the best image possible while reducing the amount of contrast media given to patients.

Patients who present to MUSC's Chest Pain Center with acute chest pain and have undergone coronary computerized tomography angiography or triple rule-out computed tomography imaging showing an intermediate stenosis will be prospectively selected. Consented patients will then have their clinical indicated coronary computerized tomography angiography or triple rule-out computed tomography imaging undergo an expedited computed tomography-fractional flow reserve analysis analysis. This analysis will be provided to Chest Pain Center physician of record to aid in downstream patient treatment decision making. Patients will then be followed-up at 3-months via telephone call and electronic medical records review.

The purpose of the study is to generate a bio bank of specimens for research. We will tissue that would otherwise be discarded from clinical or surgical procedure and information from medical records. We will also collect discarded blood, urines and sputum. Collecting samples will help to better understanding the mechanisms of cardiovascular diseases, identify biomarkers for early diagnosis and to predict safety and efficacy of new therapies.

Current care patterns for patients with acute chest pain fail to provide optimal quality and value. To avoid missing acute
coronary syndrome (ACS), emergency physicians hospitalize >50% of patients who present to the Emergency Department with
chest pain. However, <10% are ultimately diagnosed with ACS, and this pervasive overtriage
costs $1013
billion annually.
The HEART Pathway, which was developed at Wake Forest Baptist Health (WFBH), is designed to improve care for patients with
chest pain. It uses a validated clinical decision aid and serial troponin measures to provide realtime
decision support to providers.
In our prior studies, the HEART Pathway decreased hospitalizations, stress testing, and hospital length of stay, without
increasing adverse events. These studies led to a learning health system project in collaboration with insurers, in which the
HEART Pathway was fully integrated into the WFBH EHR. Preliminary results demonstrate further reductions in hospitalizations
and stress testing. Given WFBH's success with the HEART Pathway, the next logical step is regional dissemination.
This project will leverage Carolinas Collaborative infrastructure to collect data specific to the HEART Pathway from all 4 health
systems, establishing rates of healthcare utilization and ACS outcomes for Emergency Department patients with chest pain in
the Carolinas. In addition, we will engage key stakeholders at each health system to develop an implementation strategy. This
proposal builds on our prior work and will provide pilot data essential for a larger grant application that will support rigorous
testing and implementation of the HEART Pathway across Carolinas Collaborative health systems.