6 studies in Vasculitis
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Determining Disease Activity Biomarkers in Individuals With Polyarteritis Nodosa
Rochester, MN
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Determining Disease Activity Biomarkers in Individuals With Polyarteritis Nodosa
Location:
Rochester, MNTrial status:
Open for EnrollmentWhy is this study being done?
PAN, also known as systemic necrotic vasculitis, was the first recognized form of primary systemic vasculitis. PAN causes the inflammation of small- to medium-sized blood vessels, especially those supplying the nerves, skin, kidneys, gastrointestinal tract, heart, eye, and genitals. Unlike another form of vasculitis called microscopic polyangiitis, PAN does not usually cause glomerulonephritis, a type of kidney disease, or vasculitis in the very smallest blood vessels (arterioles, capillaries, and venules). There are no radiographic or serologic tests that can reliably measure disease activity in PAN. Currently, clinicians must rely on patients' symptoms, signs, laboratory tests, and imaging to guide treatment decisions, but such data are rarely consistently reliable in determining PAN disease activity. This study will use new scientific methods to discover new biomarkers that can be used to monitor disease activity in PAN patients. These biomarkers may be used to help direct clinical care for PAN patients and assist in future drug development. Study visits will occur monthly for the first year, then every 3 months thereafter for the remainder of the study. Blood and urine collection will occur at every visit. A physical exam and medical and medication history will occur every 3 months; also, participants will be asked to complete several questionnaires to assess disease activity, health status, and tobacco, alcohol, and drug use. Participants may have additional study visits if a disease flare or disease-related complications occur during the study.
NCT ID:
NCT00315406Who can I contact for additional information about this study?
Rochester: Jane Jaquith
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Determining Disease Activity Biomarkers in Individuals With Takayasu's Arteritis
Rochester, MN
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Determining Disease Activity Biomarkers in Individuals With Takayasu's Arteritis
Location:
Rochester, MNTrial status:
Open for EnrollmentWhy is this study being done?
Takayasu's arteritis is a chronic inflammatory condition that affects the aorta, the largest blood vessel in the body, and its branches. Inflammation causes segments of the vessels to become narrowed, blocked, or even stretched, possibly resulting in aneurysms. The disease is very rare but most commonly occurs in young Asian women. Symptoms may include arm pain with use, decreased or absent pulses, lightheadedness or dizziness, headaches, and visual disturbances. Many individuals with Takayasu' arteritis, however, have no apparent symptoms despite disease activity. Additionally, current tests used to measure vessel inflammation are considered unreliable and inconsistent. It is therefore very difficult to determine the extent of disease activity in a person with Takayasu's arteritis. This study will use novel scientific methods to establish new biomarkers that can be used to monitor disease activity in individuals with Takayasu's arteritis. These biomarkers may be used to help direct clinical care and assist in future drug development. Study visits will occur monthly for the first year, then every 3 months thereafter for the remainder of the study. Blood and urine collection will occur at every visit. A physical examination, disease assessment, and review of medications will occur every 3 months; participants may also be asked to complete various questionnaires. Diagnostic testing, which may include chest radiograph, echocardiogram, magnetic resonance imaging, or angiography, will occur every 6 months. Tobacco, alcohol, and drug use will be assessed on a yearly basis. Participants may have additional study visits if a disease flare or disease-related complications occur during the study.
NCT ID:
NCT00315471Who can I contact for additional information about this study?
Rochester: Jane Jaquith
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Determining Disease Activity Biomarkers in Individuals With Giant Cell Arteritis
Rochester, MN
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Determining Disease Activity Biomarkers in Individuals With Giant Cell Arteritis
Location:
Rochester, MNTrial status:
Open for EnrollmentWhy is this study being done?
GCA is a rare autoimmune disorder and is the most common type of inflammation of medium- to large-sized blood vessels in the body. It usually only occurs in older adults. The most common symptoms of GCA include headache, pain in the shoulders and hips (polymyalgia rheumatica), pain in the jaw (jaw claudication), fever, and blurred vision. Organ-specific markers of injury or damage as well as direct markers of vascular damage and inflammation are currently used by clinicians to assess GCA disease progression; however, these markers are not very useful in guiding treatment. There are also blood tests that clinicians use to monitor GCA activity, such as erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), but these tests lack specificity and sensitivity. Most treatments available now for GCA are toxic, therefore if other markers indicating disease activity can be found, it may lead to the development of less toxic treatments. This study will use new scientific methods to identify new biomarkers that can be used to monitor disease activity in GCA patients. These biomarkers may be used to help direct clinical care for GCA patients and assist in future drug development. Study visits will occur monthly for the first year, then every 3 months thereafter for the remainder of the study. Blood and urine collection will occur at every visit. A physical exam and medical and medication history will occur every 3 months; also, participants will be asked to complete several questionnaires to assess disease activity, health status, and tobacco, alcohol, and drug use. Participants may have additional study visits if a disease flare or disease-related complications occur during the study.
NCT ID:
NCT00315497Who can I contact for additional information about this study?
Rochester: Jane Jaquith 507-284-4502
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Abatacept for Treating Adults With Giant Cell Arteritis and Takayasu's Arteritis
Rochester, MN
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Abatacept for Treating Adults With Giant Cell Arteritis and Takayasu's Arteritis
Location:
Rochester, MNTrial status:
Open for EnrollmentWhy is this study being done?
GCA and TAK both cause inflammation in the lining of the arteries, which can interfere with the body's ability to carry oxygen to areas that need it. Symptoms of GCA include headaches, jaw pain, and blurred or double vision. Serious symptoms that occur less commonly are blindness and stroke. TAK symptoms include fever, fatigue, weight loss, arthritis, and non-specific aches and pains. There may also be tenderness near affected arteries. Researchers believe that GCA and TAK are diseases that are controlled by the body's immune system. Activated T-cells, specifically, are critical to the origin and development of these diseases. Abatacept is a medication that modulates the signal required for T-cell activation. This study will evaluate the safety and effectiveness of abatacept in treating GCA and TAK and preventing disease relapse. Participation in this study may last up to 4 years. Participants will receive abatacept intravenously on specified days during Months 1, 2, and 3. They will also receive daily prednisone, which will be started at a dose of 40 to 60mg, then tapered to 20mg by Month 3, and finally further tapered until discontinuation is reached. At Month 3, participants who have achieved remission will be randomly assigned under double-blind conditions to either continue abatacept or be switched to placebo infusions. Both treatments will be given once a month at study visits. Blood samples will also be collected at the monthly study visits to conduct laboratory-based studies. Participants who remain in remission will continue to receive abatacept or placebo monthly until the common closing date, defined as 12 months after enrollment of the 33rd participant for each disease.
NCT ID:
NCT00556439Who can I contact for additional information about this study?
Rochester: Eric Matteson, MD 507-284-8450
Steven Ytterberg, MD 507-284-1625
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One-Time DNA Study for Vasculitis
Rochester, MN
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One-Time DNA Study for Vasculitis
Location:
Rochester, MNTrial status:
Open for EnrollmentWhy is this study being done?
The systemic vasculitides comprise several inflammatory diseases of blood vessels, usually arteries, which may cause systemic, multi-organ disease that can result in substantial morbidity and increased mortality. Each type of vasculitis is a rare ("orphan") disease. However, taken together, vasculitis affects tens of thousands of Americans and is responsible for substantial morbidity and mortality and almost one billion dollars per year in hospital care alone. While the vasculitides share the trait of vascular inflammation, the unique disease phenotypes, clinical courses, differences in prognoses, and responses to therapy suggest that important differences exist in pathogenesis. The Vasculitis Clinical Research Consortium (VCRC) currently focuses on 6 specific types of vasculitis that were selected to represent a balance between unmet medical and scientific needs, prevalence in North America, feasibility of study, and an interest in studying a spectrum of small, medium, and large vessel vasculitides. The great majority of published studies on the genetics of vasculitis have used modest-sized cohorts that are only suitable for investigation of a few candidate genes at a time, or to detect large effect sizes, so that replicated findings are highly skewed to the HLA region. Larger and more ambitious genetic studies in vasculitis are expected to generate numerous hypotheses for translational research in gene expression, biochemistry, and molecular pathology. A one-time collection of clinical data and DNA would substantially increase the sample sizes for genetic association studies in all six vasculitides studied in the VCRC. Many patients are seen at participating VCRC centers but do not enroll in the Longitudinal Studies. These patients often are interested in participating in research studies but cannot return frequently for visits, usually due to distance from the VCRC centers. This approach would be particularly useful for the rarer forms of vasculitis under study (Takayasu's Arteritis (TAK), Polyarteritis Nodosa (PAN), Churg-Strauss Syndrome (CSS) and also for Giant Cell Arteritis (GCA), since elderly patients have been particularly likely to decline participation in the Longitudinal Studies due to travel constraints.
NCT ID:
NCT01241305Who can I contact for additional information about this study?
Rochester: Sara Biorn 507-284-4862
Jane Jaquith 507-284-4502
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American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) Diagnostic and Classification Criteria for Primary Systemic Vasculitis
Rochester, MN
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American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) Diagnostic and Classification Criteria for Primary Systemic Vasculitis
Location:
Rochester, MNTrial status:
Open for EnrollmentWhy is this study being done?
The systemic vasculitides are a group of uncommon but important diseases whose prognosis has improved dramatically with the use of immunosuppressive therapy. However, long-term morbidity from recurrent disease flares, low-grade grumbling disease and/or accumulating damage from previous disease activity or drug therapy now characterise the long-term outlook for patients with vasculitis. There remains major controversy, and incompatibility between the ANCA-associated vasculitides: granulomatosis with polyangiitis (Wegener's), microscopic polyangiitis, and Churg Strauss Syndrome, as well as polyarteritis nodosa in the current classification criteria and disease definitions. Importantly, there are no diagnostic criteria for any of the primary systemic vasculitides. We propose to improve existing classification criteria for the primary systemic vasculitides. As a starting point will include the following diseases: granulomatosis with polyangiitis (Wegener's) (GPA), microscopic polyangiitis (MPA), Churg Strauss syndrome (CSS), polyarteritis nodosa (PAN), giant cell arteritis (GCA) and Takayasu arteritis (TAK). We propose to develop and validate classification and diagnostic criteria for primary systemic vasculitis using the guidelines suggested by the Classification and Response Criteria Subcommittee of the American College of Rheumatology Committee on Quality Measures. For all patients, a detailed medical history, physical examination, laboratory tests (including ANCA), radiology (including angiography), biopsy results, treatment, Birmingham Vasculitis Activity Score (BVAS)version 3, Vasculitis Damage Index (VDI), will be collected. The exact list of items to be recorded will be determined by the expert panel at the start of the study. Classification criteria We will study a minimum of 100 patients (new and existing patients) prospectively within each currently defined disease category (GPA, CSS, MPA, PAN, GCA, TAK) for the development of the classification criteria. We anticipate the need to recruit 130 patients to account for misdiagnosis and dropout to achieve the target of 100 with the confirmed reference diagnosis. This will include patients that have vasculitis which are assumed to be related to ANCA but do not fulfil the current definitions of any of the diseases, and patients with large vessel vasculitis which do not fulfil current definition for GCA or TAK. Therefore new categories of disease may be created as part of this process and some of the current disease categories may be changed to include or exclude certain patients. The other diseases will be the controls. The same minimum number of patients will be used to validate the criteria. The 1st 100 patients with a formal reference diagnosis that are recruited for each disease will be used for development of the classification criteria; the next 100 consecutive patients recruited with a confirmed reference diagnosis for each disease will be used to validate the criteria. Again we anticipate the need to recruit 130 patients to account for misdiagnosis and dropout to achieve the 100 target. The majority of cases included will be the same as that used for the development of the diagnostic criteria. In the absence of an established gold standard, we propose to develop a reference standard. Clinical vignettes using clustering of clinical features and investigations will be constructed from actual cases by the steering group. An expert panel will then be asked to classify each vignette. Hypothetical changes will then be made to components of each clinical vignette and the expert panel will be asked to re classify the case. This process will be repeated multiple times in an attempt to determine what key clinical feature influence the expert panel to change the diagnosis. Using this data driven process, a construct of important clinical features for each disease will be determined by the expert panel. Using this new construct, patients will be classified by the expert panel. This will form the reference standard against which the new criteria will be tested. Diagnostic Criteria We propose to develop and validate diagnostic criteria for primary systemic vasculitis. Based on current disease categories we will include GPA, MPA, CSS, PAN, GCA and TAK (but this may change depending on whether new categories are created or existing categories merged as part of the classification criteria component). For the development of diagnostic criteria, we will study a minimum of 100 patients (will require approx 130 patients to allow for dropout and misdiagnosis) for each disease category. Assuming 6 disease categories, the majority of these 780 patients will have already been identified from the classification criteria component of the study and will be re used for the development and validation of diagnostic criteria. However, for the diagnostic criteria to be clinically relevant we will only include patients that are seen at the time of 1st presentation, therefore not all the 780 patients recruited for the classification criteria section of the study will be suitable, and we will need to recruit additional new patients for each of the types of vasculitis being studied. We will use a minimum of 400 context specific controls (patients that don't have vasculitis) for AAV and PAN that will cover the spectrum of different disease presentations and severity. In addition, we will recruit a minimum of 100 context specific controls for GCA and a similar number for TAK. Different control populations are needed for AAV, GCA and TAK as they have significantly different clinical presentations. In a similar manner to cases, we will recruit 30% more patients than the minimum required to account for misdiagnosis and drop out. The same minimum number of cases and controls will be needed to validate the criteria. The first half of the patients recruited would be used to develop the criteria, and the 2nd half to validate the criteria. We will allow inclusion of patients from previously studied prospective cohorts that meet all the appropriate inclusion / exclusion criteria and have had all the appropriate clinical information and mandatory investigation (to be defined later) recorded at time of their first presentation. This is to facilitate the recruitment of sufficient patients with PAN, CSS and TAK which are rare conditions. Statistical analysis We will follow the ACR recommended statistical methods for creating the classification criteria. Patients will have been classified into the different types of vasculitis according to the proposed EULAR/ACR schema by the expert panel or as a vasculitis mimic. The outcomes of interest are binary variables indicating whether or not a patient has been classified as having a particular type of vasculitis, such as GPA, MPA, etc. For each outcome, multivariable logistic regression modeling will be used to identify predictors of outcome based on the list of potential predictor variables described earlier. We will also explore the use of Classification And Regression Tree (CART) analysis. This is a tree-building technique ideally suited to the generation of clinical decision rules. Unlike conventional regression methods, patients are partitioned ("split") into different groups based on an exhaustive search of all possible predictor variables. The advantage of CART analysis over conventional methods is that it is non-parametric, so no assumptions are made about the underlying distribution of predictor variables. CART can handle many hundreds of possible predictor variables and can uncover complex interactions between predictors which may be difficult or impossible to uncover using traditional multivariate techniques that can suffer from model over fitting. In addition, clinicians generally do not think in terms of probability but rather in terms of categories, such as low versus high risk. Clinical decision rules generated using CART analysis are more likely to make clinical sense, and hence more likely to be followed in clinical practice. Once the best items are identified, the expert panel will decide on the best short list of items to be included in each criteria and also choose the most appropriate decision tree. This will provide the best content validity. The statistical methods to be used for diagnostic criteria will be very similar to that used for the classification criteria. The binary outcome for analysis is whether the person is a case or control (without vasculitis). We repeat the analyses for each of each type of vasculitis e.g. WG versus controls, then CSS versus controls etc
NCT ID:
NCT01066208Who can I contact for additional information about this study?
Rochester: Eric Matteson
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