<p>The development and validation of accurate biological markers and predictors of disease activity and outcome for Giant Cell Arteritis, a form of idiopathic vasculitis, would have a major positive impact on the clinical care of patients with this rare disease, be an important insight into the design of clinical trials and feasibility of new drug development, and provide important insight into the pathogenesis of this condition. Current measures of disease activity, including erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), while helpful in selected settings, are mostly considered highly flawed and markers whose poor correlation with disease flares makes them inadequate to help guide therapy. Similarly, ESR and CRP are clearly unhelpful as diagnostic tests for vasculitis. The current state of clinical investigation for vasculitis relies heavily upon determination of disease status solely by clinical presentation and investigator opinion. Thus, discovery and validation of more precise markers that quantifiably measure activity, predict disease course, and correlate with an important biological process, would be of great importance.</p> <p>Knowledge to be gained from this study could potentially be highly important. Discovery of effective biomarkers of vasculitis and assessment of long term disease course and complications by the collection of clinical and diagnostic imaging studies proposed could lead to better care and less toxic treatment regimens. Furthermore, insight into the pathophysiology of vasculitis could be gained and this might lead to better treatments and improved outcomes in terms of reduction of vascular and treatment related complications. Ideally, excellent biomarkers reflect a sophisticated understanding of the pathophysiology of a disease.</p>

VCRC5502: Longitudinal Protocol for Giant Cell Arteritis

3390 variables across Anthropometry, Biomarkers, Demographics + 9 more

VCRC5502: Longitudinal Protocol for Giant Cell Arteritis

Anthropometry (2)

Biomarkers (32)

Demographics (93)

Disease Events (313)

General Health (58)

Imaging (2)

Medications (358)

Mental Health (20)

Race and Ethnicity (7)

Reproductive Health (1)

Study Administration (1)

Substance Use (18)

Other (2,485)