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Clinical Trial for Evaluation of Vermillion's Blood Test to Predict the Probability of Peripheral Artery Disease (PAD-001)

2013年12月16日 更新者:Vermillion, Inc.

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.

調査の概要

状態

完了

詳細な説明

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.

研究の種類

観察的

入学 (実際)

1033

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Alabama
      • Mobile、Alabama、アメリカ、36608
        • Coastal Clinical Research
    • California
      • Santa Ana、California、アメリカ、92705
        • Apex Research Institute
      • Santa Rosa、California、アメリカ、95405
        • Radiant Research
    • Florida
      • Clearwater、Florida、アメリカ、33761
        • Tampa Bay Medical Research, Inc.
    • Missouri
      • Kansas City、Missouri、アメリカ、64114
        • Center for Pharmaceutical Research
    • New Mexico
      • Albuquerque、New Mexico、アメリカ、87108
        • Lovelace Scientific Research
    • Ohio
      • Columbus、Ohio、アメリカ、43212
        • Radiant Research
    • Rhode Island
      • Warwick、Rhode Island、アメリカ、02886
        • Omega Clinical Research
    • Texas
      • San Antonio、Texas、アメリカ、78229
        • Clinical Trials of Texas, Inc.
    • Virginia
      • Richmond、Virginia、アメリカ、23294
        • National Clinical Research, Inc.

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

50年歳以上 (大人、高齢者)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

サンプリング方法

確率サンプル

調査対象母集団

Subjects that meet the inclusion/exclusion criteria from 10 primary care sites.

説明

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).

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 観測モデル:ケースのみ
  • 時間の展望:見込みのある

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
PAD1 will identify individuals with a higher risk of PAD.
時間枠:1 month
PAD1 will identify individuals with a higher risk of PAD in an at-risk population of individuals 70 years of age or older, or smokers and/or diabetics 50 years of age or older.
1 month

二次結果の測定

結果測定
メジャーの説明
時間枠
To demonstrate that PAD1 has predictive value for PAD when used as a combination result.
時間枠:1 month

To demonstrate that PAD1 has predictive value for PAD in combination with:

  • The Framingham Risk Score
  • The 5-Symptom Questionnaire for prediction of PAD (5-Q Sx)
1 month

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

捜査官

  • スタディディレクター:Eric T Fung, MD. PhD.、Vermillion, Inc.

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始

2011年3月1日

一次修了 (実際)

2011年8月1日

研究の完了 (実際)

2011年8月1日

試験登録日

最初に提出

2011年4月6日

QC基準を満たした最初の提出物

2011年4月14日

最初の投稿 (見積もり)

2011年4月15日

学習記録の更新

投稿された最後の更新 (見積もり)

2013年12月17日

QC基準を満たした最後の更新が送信されました

2013年12月16日

最終確認日

2013年12月1日

詳しくは

本研究に関する用語

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