A Randomized, Double-Blind, Placebo-Controlled Study to Assess the Effects of Bempedoic Acid (ETC-1002) on the Occurrence of Major Cardiovascular Events in Patients with, or at High Risk for, Cardiovascular Disease Who Are Statin Intolerant Save

Date Added
November 28th, 2017
PRO Number
Pro00071912
Researcher
Pamela Morris

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Keywords
Cardiovascular, Cholesterol
Summary

The purpose of the study is to see if a new investigational drug called bempedoic acid reduces the risk of major cardiovascular (heart and blood vessel-related) events in patients with, or at high risk for, heart disease who have had complications related to taking statins. The study will compare bempedoic acid with a placebo to see if taking bempedoic acid is better than taking a placebo.

Institution
MUSC
Recruitment Contact
Kavin Panneerselvam
843-792-0464
panneeer@musc.edu

CAscade SCreening for Awareness and DEtection of Familial Hypercholesterolemia Save

Date Added
January 2nd, 2017
PRO Number
Pro00059316
Researcher
Pamela Morris

Silhouette
Keywords
Cardiovascular, Cholesterol
Summary

The CASCADE FH Registry is a national, multi?center initiative that will track the therapy, clinical outcomes, and patient?reported outcomes over time. The Registry represents collaboration between The FH Foundation, lipid specialists, cardiologists, primary care providers, quality improvement personnel, and patients, all aiming to increase FH awareness, promote optimal disease management, and improve FH outcomes. The Duke Clinical Research Institute will help operationalize the clinical portal of the CASCADE FH Registry. The Registry will use a hybrid enrollment design to maximize outreach and ensure that all interested FH patients have the option to participate. In accordance with these goals, participants will be identified using a variety of mechanisms, including screening by providers and online screening tools available to the general public. MUSC will only follow the clinical, prospective data collection method outlined in the protocol for this study. Cross?validation of clinical data with patient?entered data will optimize quality and promote statistical validity.

Institution
MUSC
Recruitment Contact
Ariane Shokri
843792-1274
shokria@musc.edu

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