Using SCOUT Noninvasive AGE Measurements to Forecast Diabetes Complications (MARC)

August 10, 2011 updated by: VeraLight, Inc.

A Cross-Sectional Study to Test the Feasibility of Using SCOUT Noninvasive AGE Measurements to Forecast Diabetes Complications

The trial is designed as a feasibility study to determine the correlation of noninvasive measurements of AGE with the SCOUT device to diabetes complications.

Study Overview

Status

Completed

Detailed Description

Diabetes mellitus is a major health problem in the United States and throughout the world's developed and developing nations. In 2002, the American Diabetes Association (ADA) has estimated that 12.1 million Americans (4.2%) had been diagnosed with some form of diabetes [1], and the World Health Organization (WHO) assessed the global diabetes caseload at 173 million in the year 2000 [2]. While type 1 patients comprise approximately 5 -10% of the US cases [3], the severe morbidity in those patients including renal failure, blindness, neuropathy and micro- and macro-vascular disease motivate the search for improved techniques for monitoring disease status.

Diabetes is devastating to individual health and has a significant impact on the national economy. In 2002, US economic impact related to diabetes exceeded $132 billion. Due to the numerous complications that result from chronic hyperglycemia a wide array of health services are involved. For example, between 5 and 20 percent of all US services in the areas of cardiovascular disease, kidney disease, endocrine and metabolic complications, and ophthalmic disorders are attributable to diabetes.

Landmark clinical trials in the US and UK have established that tight glucose control via a regimen of glucose monitoring, insulin and/or sulfonylurea or other drug therapy, exercise, and proper diet significantly reduces the progression of, and risk for, developing diabetic complications [4, 5]. Long-term, chronic hyperglycemia is recognized as the initiator of debilitating diabetes-related complications such as blindness, kidney failure and nerve damage [6]. Hence, an effective monitor for overall glycemic control should reflect the long-term, integrated glycemic insult to the body.

One concept of a monitor for long-term glycemic control involves the measurement of an analyte whose concentration monotonically increases over the course of disease progression. Such a chemical marker would not vary with the state in which the patient presented on the day of the test. The process of protein glycation (or 'browning'), governed by the Maillard reaction, produces several advanced glycation endproducts that are attractive candidates for such a 'diabetes meter.' These compounds are currently assayed by invasive procedures, requiring a biopsy specimen, but, based upon initial results with the VeraLight SCOUT, they are also accessible by noninvasive monitoring.

Study Type

Observational

Enrollment (Actual)

250

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Maryland
      • Hyattsville, Maryland, United States, 20783
        • MedStar Health Research Institute

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Potential subjects for the study will have type 1 or type 2 diabetes.

Description

Inclusion Criteria:

  • Potential subjects for the study will have type 1 or type 2 diabetes. Patients presenting for their periodic examinations at his practice will be given the opportunity to participate. Enrollment will conclude when the target of 250 subjects have been examined.

Exclusion Criteria:

  • Wounds or injuries on the volar forearm in the field of view of SCOUT including blisters, cuts, scabs, cracked skin, tattoos and bleeding or oozing skin
  • Rash on forearm in field of SCOUT scan including eczema, psoriasis, shingles, rosacea, swimmer's itch, Christmas tree rash, lichen planus, contact dermatitus, ringworm, heat rash or drug rash
  • Receiving other investigational treatments
  • Receiving medications that may alter skin fluorescence/photosensitivity, including Doxorubicin, Daunomycin, Camptothecin, Protoporphyrin, Fluoroquinolones, Tetracycline and/or Quinidine
  • Known to be pregnant
  • Prisoner, mentally incompetent or unable to follow study procedures

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Type 1 Diabetes
Must have been diagnosed with type 1 diabetes. Subject group will be measured on SCOUT and compared to Type 2 diabetes cohort.
Type 2 Diabetes
Must have been diagnosed with Type 2 diabetes. This group will be compared to the Type 1 cohort.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
SCOUT Comparison
Time Frame: 1 day
This cross-sectional study will test the hypothesis that the correlation between quantitative measurements of skin AGEs by SCOUT noninvasive fluorescence technique, and aggregate diabetic complications, is statistically equivalent to the correlation between the aggregate complications and either disease duration, concurrent HbA1c or individual complications (retinopathy, nephropathy, neuropathy, hypertension and dyslipidemia).
1 day

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Hypertension
Time Frame: 1 Day
Five categories of complications--hypertension, dyslipidemia, renal function, retinopathy and neuropathy--will be quantified. Hypertension will be staged based upon blood pressure measurements. The hypertension quantification will follow the classification scheme published by Joint National Committee on Prevention Detection, Evaluation, and Treatment of High Blood Pressure. Dyslipidemia will be quantified by mean plasma lipid values.
1 Day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Robert Ratner, MD, Medstar

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2007

Primary Completion (Actual)

August 1, 2011

Study Completion (Actual)

August 1, 2011

Study Registration Dates

First Submitted

August 9, 2011

First Submitted That Met QC Criteria

August 10, 2011

First Posted (Estimate)

August 11, 2011

Study Record Updates

Last Update Posted (Estimate)

August 11, 2011

Last Update Submitted That Met QC Criteria

August 10, 2011

Last Verified

August 1, 2011

More Information

Terms related to this study

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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