Purpose

Individuals with rheumatoid arthritis (RA) have up to 2x the risk of having a heart attack compared to someone without RA. The goal of this study is to identify biomarkers that can help us do a better job of identifying individuals at risk before they develop symptoms of heart disease and start preventative treatment earlier.

Conditions

Eligibility

Eligible Ages
Between 35 Years and 79 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • RA diagnosed by a rheumatologist - Age 40- 79 - ≥1 ASCVD risk factor including prediabetes, hypertension, BMI >30, current or history of cigarette smoking

Exclusion Criteria

  • Patients on a statin or with a contraindication to statin, on a cholesterol absorption inhibitor, or on a PCSK9 inhibitor - Patients with diabetes mellitus - Pregnancy

Study Design

Phase
Study Type
Observational [Patient Registry]
Observational Model
Cohort
Time Perspective
Cross-Sectional

Recruiting Locations

Brigham and Womens Hospital
Boston 4930956, Massachusetts 6254926 02115
Contact:
Katherine P Liao, MD, MPH
617-525-8819
kliao@bwh.harvard.edu

More Details

Status
Recruiting
Sponsor
Brigham and Women's Hospital

Study Contact

Detailed Description

The objective of this study is to test the utility of high sensitivity cardiac troponin (hs-cTn) and coronary artery calcium (CAC) in risk stratifying patients with rheumatoid arthritis (RA) who may benefit from lipid lowering therapy. The population of interest are individuals who would not otherwise be recommended for therapy based on general population risk calculators for heart disease risk.

Notice

Study information shown on this site is derived from ClinicalTrials.gov (a public registry operated by the National Institutes of Health). The listing of studies provided is not certain to be all studies for which you might be eligible. Furthermore, study eligibility requirements can be difficult to understand and may change over time, so it is wise to speak with your medical care provider and individual research study teams when making decisions related to participation.