Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT06257628 |
Other study ID # |
2.7.2.1 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
September 14, 2023 |
Est. completion date |
April 11, 2025 |
Study information
Verified date |
February 2024 |
Source |
Beckman Coulter, Inc. |
Contact |
Alicia Drain |
Phone |
512-906-8763 |
Email |
adrain[@]beckman.com |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This protocol will collect real world EHR data to support the product development life cycle
activities associated with developing the Major Adverse Cardiac Events (MACE) Clinical
Decision Support (CDS) software.
The data will also be utilized in subsequent clinical validation to support an FDA
application and/or applications to other regulatory agencies as needed.
Description:
The primary objective is to develop a machine learning tool which predicts risk of 30-day
MACE (major adverse cardiac event) risk stratification among patients visiting ED with
suspicion of ACS (Acute Coronary Syndrome).
The data will also be utilized in subsequent clinical validation. In addition to
retrospective Electronic Health Record (EHR) data, Health Information Exchange (HIE) data and
patient reported outcomes will be collected to capture 30-day MACE outcomes, as applicable.