Implementation of an Algorithm- and Multi-professional Team-supported Strategy to Improve Lipid Management of Patients With Atherosclerotic Cardiovascular Disease: OPTIMIZE ASCVD
Implementation of an Algorithm- and Multi-professional Team-supported Strategy to Improve Lipid Management of Patients With Atherosclerotic Cardiovascular Disease: OPTIMIZE ASCVD
This is a randomized, controlled, collaborative, multicenter, pilot implementation science study evaluating the hypothesis that algorithm- and multi-professional team-supported lipid management reduces low density lipoprotein-cholesterol (LDL-C) compared with usual care in patients with atherosclerotic cardiovascular disease (ASCVD).
OPTIMIZE-ASCVD is a randomized, controlled, collaborative, open-label, multicenter pilot implementation science study evaluating the hypothesis that algorithm- (Appendix A) and multi-professional team-supported lipid management reduces LDL-C compared with usual care in patients with ASCVD.
Approximately 100 participants will be randomized (1:1).
The study will include decentralized clinical trial features including use of local, Clinical Laboratory Improvement Amendments (CLIA)-certified laboratories for blood tests, use of data extracted from the electronic medical record (EMR), electronic collection of patient-reported outcomes (PRO) and remote conduct of study activities. As an open label study with both strategy groups receiving GDMT, no Data and Safety Monitoring Committee will be convened. Study leadership will monitor aggregate data during the trial and may modify the sample size and/or cap enrollment of subgroups to ensure consistency with design assumptions.
Inclusion Criteria:
Provided informed consent
Age >18 years inclusive at screening
Documented atherosclerotic vascular disease including:
Exclusion Criteria:
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