Using SCOUT Noninvasive AGE Measurements to Forecast Diabetes Complications
NCT ID: NCT01415115
Last Updated: 2011-08-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
250 participants
OBSERVATIONAL
2007-03-31
2011-08-31
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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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.
No interventions assigned to this group
Type 2 Diabetes
Must have been diagnosed with Type 2 diabetes. This group will be compared to the Type 1 cohort.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* 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
18 Years
ALL
No
Sponsors
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Medstar Health Research Institute
OTHER
VeraLight, Inc.
INDUSTRY
Responsible Party
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Medstar Health Research Institute
Principal Investigators
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Robert Ratner, MD
Role: PRINCIPAL_INVESTIGATOR
MedStar Health
Locations
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Medstar Health Research Institute
Hyattsville, Maryland, United States
Countries
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Other Identifiers
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VL-2702
Identifier Type: -
Identifier Source: org_study_id
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