Clinical Trial for Evaluation of Vermillion's Blood Test to Predict the Probability of Peripheral Artery Disease



Status:Completed
Conditions:Peripheral Vascular Disease
Therapuetic Areas:Cardiology / Vascular Diseases
Healthy:No
Age Range:50 - Any
Updated:11/30/2013
Start Date:March 2011
End Date:September 2011
Contact:Chriss Stanford, MA
Email:Chriss.Stanford@cpcmed.org
Phone:303-991-7630

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Purpose

This study is to verify and validate PAD1 as a qualitative serum test which will combine the
results of multiple assays into a single numeric result, to be determined by evaluation of
the study data.

PAD1 is an automated software device (PADCalc) that incorporates specific and multiple
biomarker values found in human blood, and generates a score (PAD1 score) using a fixed
formula implemented within the PADCalc software. The PAD1 score is a result with a high or
low probability of PAD.

PAD1 will be submitted to FDA as a 510(k) for in vitro diagnostic use in conjunction with
clinical assessment, based on factors such as age, diabetes, smoking, and vascular
laboratory tests (including the ABI), as an aid towards further evaluation of patients who
meet the enrollment eligilbility criteria.

Eligibility It is indicated for women and men considered at risk for PAD who meet the
following criteria: a history of smoking and/or diabetes and are age 50 years or older, or
70 years of age or older. PAD1 is an aid to further assess the likelihood of the presence of
PAD when used in conjunction with clinical assessment and vascular laboratory tests.


Peripheral artery disease (PAD) affects 8 to 12 million individuals in the United States and
is also prevalent in Europe and Asia. A regional pilot study of community screening for PAD
demonstrated that patient awareness of a PAD diagnosis was low, and was associated with
atherosclerosis risk factors, antiplatelet therapy, and claudication treatment intensity.
PAD has not emerged as a focus of public health efforts to improve quality of life, nor to
decrease the associated cardiovascular ischemic risk. Smoking, diabetes, and age are the
strongest risk factors for PAD. Smokers have a 2 to 6-fold increased likelihood of having
PAD, and the risk of PAD increases in a dose-dependent manner with the duration and amount
of smoking. Diabetes confers a 2 to 4-fold increased risk of having PAD. The prevalence of
PAD increases as a function of age. Criqui et al showed that the prevalence of PAD in
individuals under 60 years of age was about 2.5%, whereas the prevalence increased to over
20% in individuals over 75 years of age.

A study in smokers and diabetics 50 years of age or older, and in all those 70 years of age
or older, identified in an outpatient, primary care clinic setting has shown that the
prevalence is 29%. About half of the cases found were newly-identified PAD patients.
Further, while 83% of those with a prior diagnosis of PAD were aware of their condition,
only 49% of the primary-care physicians were aware that their patients had a diagnosis of
PAD. Another study examined internal medicine physicians' approaches to PAD and found that
only 37% reported taking histories for claudication, and only 26% evaluated the foot for
ulcers.

PAD is as prevalent in women as in men. When symptomatic, PAD causes limb discomfort,
tiredness, heaviness, cramping, or pain brought on by exertion and relieved by rest (i.e.,
intermittent claudication) and reduces functional capacity and quality of life. Classic
claudication is only noted by 10-30% of patients and atypical leg discomfort occurs in
20-40%. Up to 50% of patients are asymptomatic. PAD1 is an in vitro diagnostic that provides
a PAD1 score derived from multiple biomarkers in human plasma, serum, or whole blood, which
predicts a low or high probability of the presence of PAD in patients at risk for PAD. A
positive PAD1 score(above the cutoff), indicating a higher risk for PAD than expected in the
general population, would then guide the physician to more aggressively determine the
presence of PAD.

The preliminary studies have shown an association of four proposed biomarkers with ABI, and
have demonstrated the construction of a PAD risk algorithm. This study is powered to test
each of the four biomarkers and their interactions and develop the PAD1 risk score in the
intended use population.

Inclusion Criteria:

Subject is one or more of the following:

- ≥50 years old and subject-reported current or former history (<10 years) of smoking
for a minimum of 10 pack years.

- ≥50 years old and history of type 2 diabetes (meeting American Diabetes Association
criteria) as documented in the medical record, or use of diabetes medications or
diabetes-specific diet.

- ≥70 years old. 2. Subject provides written informed consent to participate in this
study. 3. Subject agrees to de-identified biorepository storage of own processed
blood sample for future testing.

Exclusion Criteria:

1. Significant hepatic or renal insufficiency, including either of the following:

- Renal insufficiency or renal failure within the past 6 months, or creatinine
>2.5 mg/dL within the past 6 months (if results available), or currently on
dialysis.

- Severe liver disease or any chronic hepatitis within the past 6 months, or AST
and ALT >3xULN (upper limit of normal), or bilirubin >2xULN within the past 6
months (if results available).

2. Active viral or bacterial infection or subject is currently taking an antibiotic or
antiviral agent.

3. Active inflammatory condition requiring treatment with systemic steroids or immune
modulating therapy within the past 6 months.

4. Active malignancy that requires active anti-neoplastic therapy (stable basal cell
skin cancer is allowed; cancer being treated solely with hormonal therapy is
allowed).
We found this trial at
10
sites
Albuquerque, New Mexico 87108
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3251 McMullen Booth Road
Clearwater, Florida 34695
727-724-3316
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Clearwater, FL
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7940 Floyd Curl Dr.
San Antonio, Texas 78229
210-949-0122
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San Antonio, TX
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Columbus, Ohio 43212
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Columbus, OH
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Kansas City, Missouri 64114
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Kansas City, MO
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Mobile, Alabama 36608
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Mobile, AL
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Richmond, Virginia 23294
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Richmond, VA
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Santa Ana, California 92705
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Santa Ana, CA
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Santa Rosa, California 95405
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Santa Rosa, CA
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Warwick, Rhode Island 02886
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Warwick, RI
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